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CS2 AI Predictions — Machine Learning Match Analysis

AI-powered CS2 match predictions generated by our machine learning model. Every prediction analyzes team form, player statistics, map pool matchups, head-to-head records and real-time betting odds to deliver data-driven picks with transparent confidence ratings and tracked accuracy.

AI

Powered by Machine Learning

Our AI prediction engine analyzes 8+ statistical dimensions per match: 3-month team form, map-specific win rates, head-to-head history, individual player ratings (ADR, KAST%, HLTV 2.0), roster stability, tournament seeding, schedule fatigue and real-time bookmaker odds. Predictions are generated automatically every 6-12 hours for all upcoming professional CS2 matches.

AI Win Rate
64.7%
Correct
297
Wrong
162
Pending
11
AI Prediction Record
297W
162L
459 decided AI predictions 64.7% accuracy

Ongoing AI Predictions 11

AI NOT_STARTED 9 Jul 2026
ADN
vs
PURE

Elimination match: ADN vs PURE — Prediction & Match Analysis

This United21 Season 52 elimination match features two lower-tier European teams with limited data. Alpha Dominion Nation (ADN) hold a 2W-6L record in their last 8 matches, while PURE went 4W-6L in their last 10. Neither team has a career win rate recorded, and there is no H2H history. The betting market strongly favors PURE at 1.22 vs ADN's 3.80, implying roughly an 82% win probability for PURE.However, the player stat comparison tells a different story: ADN average a 0.703 rating vs PURE's 0.639, with higher ADR (53.4 vs 47.3) and KAST (48.9% vs 46.2%). ADN's Kosovo-based roster — sopA, Edzz, Cashmoney, R0Kk-_, and xom — outperforms PURE's squad on every individual metric. PURE lost their opening match in United21 Season 52 to IC Prospects 0-2, suggesting they are struggling in this tournament.The odds heavily favor PURE, but the player stats favor ADN. This discrepancy may reflect PURE's better tournament record or factors not captured in the available data. Given the stat advantage for ADN and PURE's recent 0-2 loss in this same tournament, we lean toward ADN as a value pick — though the low confidence reflects the significant data limitations and the market's strong disagreement.

Predicted: Alpha Dominion Nation 60% conf.
AI NOT_STARTED 9 Jul 2026
RUST
vs
Honvéd

RUST vs Honvéd — Prediction & Match Analysis

This European Pro League Series 8 match pits two lower-tier teams against each other with no H2H history. RUSTEC's recent form is concerning — just 2W-8L in their last 10 (20% win rate) — but their career win rate of 54.0% is significantly better than Honvéd's 33.33%. Honvéd's 5W-5L recent form is more balanced, but their career record suggests they are a weaker team overall.On player stats, RUSTEC hold a clear edge: their roster averages a 1.051 rating vs Honvéd's 0.980, with higher ADR (74.1 vs 71.1) and KAST (69.8% vs 67.6%). RUSTEC's top players — supra, Brilliance, anttzz, youka, and jakekeS — have the individual quality to outperform Honvéd's roster. The stat differential is consistent across all three key metrics.The tension here is between RUSTEC's poor recent form (2W-8L) and their superior player stats and career record. The recent form slump may reflect scheduling variance or opponent quality rather than a fundamental decline. Given the player stat advantage and career win rate edge, RUSTEC are the marginal pick, but this is a low-confidence call given their recent results.

Predicted: RUSTEC 58% conf.
AI NOT_STARTED 9 Jul 2026
ALL
vs
NEM

Quarterfinal 2: ALL vs NEM — Prediction & Match Analysis

This XSE Pro League quarterfinal is a competitive matchup between two ranked teams. Alliance (#61 HLTV) and Team Nemesis (#72 HLTV) are closely matched on paper, but the data points to Nemesis as the slight edge. Nemesis's 7W-3L recent form (70%) is strong, though Alliance's 9W-1L run is exceptional — the best recent form of any team in today's slate.The player stat comparison favors Nemesis: their roster averages a 1.092 rating vs Alliance's 1.042, with higher ADR (75.0 vs 72.3) and KAST (72.2% vs 70.1%). Nemesis's CIS-based roster — featuring SELLTER, r3salt, mag1k3Y, Sdaim, and tex1y — has been building momentum since their peak ranking of #43 in February 2026. The betting market is split: Thunderpick favors Alliance (1.78) while Epicbet favors Nemesis (1.75), reflecting genuine uncertainty.Alliance's 9W-1L form is the strongest counter-argument — that level of consistency suggests the team is peaking. However, Nemesis's superior player stats and career win rate (61.39% vs 57.71%) give them the statistical edge. With no H2H history, we lean on the stats: Nemesis by a slim margin in what should be a close Bo3.

Predicted: Team Nemesis 60% conf.
AI NOT_STARTED 9 Jul 2026
G1
vs
BRUTE

G1 vs BRUTE — Prediction & Match Analysis

GenOne are the clear favorites in this European Pro League Series 8 match, and the betting market agrees — odds of 1.35/1.37 imply roughly a 73% win probability. GenOne's 7W-3L recent form (70%) comfortably outpaces Brute's 6W-4L (60%), and their career win rate of 52.58% vs Brute's 37.39% reflects a significant quality gap. Most importantly, GenOne hold a 2-0 H2H record against Brute, including two clean sweeps.The player stat comparison is nuanced: Brute's roster averages a slightly higher rating (0.991 vs GenOne's 0.953) and ADR (70.9 vs 66.8), which is the main argument for an upset. However, GenOne's French roster — featuring Keoz, Djoko, Brooxsy, Chucky, and bL4SEZ — has demonstrated superior tactical cohesion in their H2H meetings. The KAST averages are nearly identical (68.1% vs 67.9%).The H2H dominance (2-0) is the decisive factor here. Brute's slightly better individual stats haven't translated into wins against GenOne, suggesting a tactical or stylistic mismatch that favors the French side. GenOne are the pick, though Brute's individual firepower means this could be competitive on individual maps.

Predicted: GenOne 67% conf.
AI NOT_STARTED 9 Jul 2026
LAG
vs
OT

Quarterfinal 2: LAG vs OT — Prediction & Match Analysis

This BLAST Open NA Qualifier quarterfinal is the most uncertain match of the day. LAG Gaming carry a 5W-5L record in their last 10 matches and a career win rate of 41.23%, while Overtake have only 3 recent matches on record (1W-2L) with no career stats available — making this a data-limited prediction. There is no H2H history between these teams.On player stats, Overtake hold a slight edge: their roster averages a 1.026 rating vs LAG's 1.012, with sacrifice (1.08 rating, 75.06 ADR) leading the way. LAG's best player Cryptic posts a 1.07 rating but the team's overall ADR (72.0) and KAST (69.7%) are marginally below Overtake's 72.8 ADR and 69.6% KAST. The differences are minimal across the board.Given the limited data on Overtake and LAG's poor career win rate (41.23%), this is effectively a coin flip. Overtake's slightly superior player ratings give them a marginal edge, but bettors should treat this as a high-variance match. The BLAST Open qualifier format means both teams are motivated, and either outcome is plausible.

Predicted: Overtake Sector 55% conf.
AI NOT_STARTED 9 Jul 2026
TYLOO
vs
9z

Quarterfinal 1: TYLOO vs 9z — Prediction & Match Analysis

9z enter this XSE Pro League quarterfinal as the slight favorites, backed by both the betting market (odds of 1.58/1.62 vs TYLOO's 2.24/2.20) and their superior global ranking (#25 vs TYLOO's #30). 9z's career win rate of 67.55% significantly outpaces TYLOO's 62.64%, and their recent IEM Cologne Major 2026 run — defeating Vitality and The MongolZ before falling to FURIA — demonstrates top-tier competitive pedigree.On player stats, 9z hold a marginal edge: their roster averages a 1.103 rating vs TYLOO's 1.091, with higher ADR (75.1 vs 73.6) and comparable KAST (72.0% vs 72.0%). TYLOO's recent form is stronger (7W-3L vs 9z's 5W-5L), which is the main argument for an upset. The H2H record favors 9z 1-0, though the sample is limited.The odds imply roughly a 38/62 split in 9z's favor, which aligns with our assessment. TYLOO's hot recent form (7W-3L) is the key variable — if they carry that momentum into this Bo3, they can compete. But 9z's higher ranking, better career stats, and recent Major experience make them the pick.

Predicted: 9z 62% conf.
AI NOT_STARTED 9 Jul 2026
VOCA
vs
NT

Quarterfinal 3: VOCA vs NT — Prediction & Match Analysis

This BLAST Open NA Qualifier quarterfinal is one of the most lopsided matchups of the day. Voca arrive with a 6W-4L record in their last 10 and a career win rate of 65.67%, while NuTorious have collapsed to just 3W-7L in their last 10 (30% win rate) and carry a career win rate of only 41.18%. The gap in recent form is stark and consistent.The player stat differential is decisive. Voca's roster averages a 1.117 rating with 76.1 ADR and 72.0% KAST, led by dea (1.21 rating, 1.31 K/D), junior (1.20 rating, 1.31 K/D), and Jeorge (1.17 rating, 79.41 ADR). NuTorious, by contrast, average just 0.937 rating with 68.1 ADR and 66.5% KAST — their best player jr24racing posts only a 1.04 rating. Voca's top-3 outperforms NuTorious's entire roster.With no H2H history between these teams, we rely entirely on form and stats — both of which point overwhelmingly to Voca. NuTorious reportedly disbanded in May 2026 and reformed, which may explain their poor recent results. Voca are the strong pick here, though the Bo3 format gives NuTorious a theoretical chance to steal a map.

Predicted: Voca 74% conf.
AI NOT_STARTED 9 Jul 2026
MARS
vs
REGAIN

Quarterfinal 4: MARS vs REGAIN — Prediction & Match Analysis

Marsborne enter this BLAST Open North American Qualifier quarterfinal as the clear statistical favorite. Their 7W-3L record in the last 10 matches (70% win rate) outpaces regain's 6W-4L (60%), and their career win rate of 60.36% vs regain's 53.24% reflects a more established pedigree. Marsborne also hold the only H2H meeting on record, a 2-0 victory over regain in January 2026.The player stat comparison further favors Marsborne. Their roster averages a 1.057 rating vs regain's 1.019, with star fragger Wumbo posting a 1.27 rating and 84.49 ADR — the highest individual output in this matchup. marekiew (1.15 rating) and ogwizard (1.13) provide a deep top-3 that regain cannot match, as their best player Zucar sits at 1.16 but the drop-off to the rest of the roster is steeper.Both teams have similar KAST averages (70.4% vs 70.3%), suggesting comparable round consistency, but Marsborne's superior form, H2H edge, and higher individual ceiling make them the pick in this Bo3. This is a BLAST Open qualifier with significant stakes — Marsborne's experience in this format gives them an additional edge.

Predicted: Marsborne 63% conf.
AI RUNNING 8 Jul 2026
LDP
vs
FDB

Quarterfinal 2: LDP vs FDB — Prediction & Match Analysis

largadosypelados (LDP) face Fake do Biru (FDB) in the CCT South America Playoffs. LDP arrive with a 6W-4L record in their last 10 (60% win rate) versus FDB's 5W-5L (50%). LDP's career winrate of 65.29% (79W-42L) is significantly higher than FDB's 52.17% (36W-33L), reflecting a more established and successful organization. LDP's roster is deep: desh leads at 1.10 rating (71.52 ADR, 70.42% KAST), supported by realz1n (1.07 rating, 73.55% KAST), Alisson (1.06 rating), zmb (1.05 rating), and happ (1.05 rating). Their team average of ~1.06 rating across the top five is solid.Head-to-head history favors Fake do Biru at 4-2 in direct meetings, which is the main concern for LDP. However, the most recent H2H result went to LDP — they beat FDB 2-0 on June 27, 2026, suggesting the momentum has shifted. FDB's roster shows hardzao (1.11 rating) and detr0ittJ (1.11 rating) as their top performers, with Tuurtle (1.09) and pesadelo (1.09) providing strong support. FDB's team average is comparable to LDP's, making this a close individual matchup.The betting market prices LDP at 1.64 (implied ~61% probability) and FDB at 2.13 (implied ~47%), aligning with our assessment. LDP's superior career winrate, better recent form, and the momentum from their June 27 win over FDB give them the edge. The H2H deficit (2-4) is the main counterargument, but the trend is moving in LDP's favor. This is a competitive match with LDP holding a slight statistical advantage.

Predicted: largadosypelados 60% conf.
AI NOT_STARTED 8 Jul 2026
LEO
vs
Prestige Academy

Elimination match: LEO vs Prestige Academy — Prediction & Match Analysis

This United21 Season 52 Group B elimination match between LEO and Prestige Academy presents significant analytical challenges due to limited data for both teams. LEO have gone 0W-3L in their last 3 matches, losing to FaZe Up Next (0-2), venom (0-2), and train launcher (1-2). Prestige Academy have only 1 recorded match in the database — a 1-2 loss to Västerås. With no career stats available for either team and no head-to-head history, this is effectively a coin flip based on available data.LEO's roster shows three players with recorded stats: Kronkzz leads with a 1.11 rating and an impressive 81.57 ADR and 77.4% KAST — the highest KAST figure in this match. didde6 contributes at 0.98 rating, and DeeP at 0.94. However, two LEO players (Milo3k and FRONTEZZZ) have no recorded stats, suggesting they are newer or less experienced. Prestige Academy has no roster data available in the system, making any player-level comparison impossible.The betting market shows 1.00/1.00 odds — no market pricing available — confirming the extreme uncertainty. Given LEO's slight roster data advantage (at least three players with measurable stats vs. zero for Prestige Academy), we give LEO a marginal edge. However, this prediction carries very low confidence and should be treated as a near-coin-flip. Limited data available for both teams.

Predicted: LEO 52% conf.
AI RUNNING 8 Jul 2026
Keyd
vs
MIBR.A

Keyd vs MIBR.A — Prediction & Match Analysis

Keyd take on MIBR Academy in the Thunderpick World Championship 2026 South American Series #2 Group B. Keyd arrive with a 6W-4L record in their last 10 (60% win rate), edging MIBR Academy's 5W-5L (50%). More importantly, Keyd's individual player stats are significantly stronger: their top five players average around 1.09 rating, led by lash (1.11 rating, 72.68 ADR), naitte (1.10 rating, 79.04 ADR), and ckzao (1.09 rating, 76.74 ADR). MIBR Academy's best player Jerr1 sits at just 1.03 rating, with the rest of the squad below 1.00 — a clear statistical disadvantage.Head-to-head history slightly favors MIBR Academy at 2-1, but the most recent data shows Keyd beating Isurus 2-1 (May 22) and METANOIA WOLVES 2-0 (May 22), while MIBR Academy beat Isurus twice 2-0 in late June. Keyd's recent wins include a 2-1 over Game Hunters (July 6) and 2-0 over Yawara Esports (June 26). MIBR Academy's form is mixed — they lost to ex-Vexa 1-2 (July 4) and RED Canids Academy 1-2 (June 30), showing vulnerability to mid-tier opponents.The odds at 1.33-1.38 for Keyd (implied ~72-75% probability) reflect the market's confidence in Keyd's individual quality. Despite the H2H deficit, Keyd's superior player ratings and better recent form make them the pick. MIBR Academy's career winrate of 48.77% (198W-208L) is higher than Keyd's 40% (86W-129L), suggesting MIBR Academy has more experience — but Keyd's current roster quality appears to outperform their historical record.

Predicted: Keyd 63% conf.

Finished 489

AI FINISHED CORRECT 3 Jun 2026
NTR
vs
RUST

Round 1: NTR vs RUST — Prediction & Match Analysis

Nuclear TigeRES get a market-aligned lean in the NODWIN Clutch Series Season 9 Bo3 against RUSTEC, despite trailing on recent form. The structural case rests on career baseline and matchup history: 62.16% career rate on 222 matches vs RUSTEC's 54% on 200, plus a 2-1 head-to-head record and Thunderpick line of 1.30 / 3.20.The RUSTEC case is the recent formRUSTEC come in at 8W-2L over the last 10 — a 10-point edge over Nuclear TigeRES' 7W-3L. That's not noise — the trajectory genuinely favours RUSTEC. The career baseline and market consensus both point the other way, but a side on an 80% form line against an opponent at 70% is the kind of momentum gap that can flip a Bo3.Why 63Market plus career rate plus prior matchup pattern all stack on Nuclear TigeRES — but the 80% recent form on the opposite side genuinely tempers the confidence. Backing the structural read at 63 reflects the honest tension between baseline and momentum.

Correct: Nuclear TigeRES 63% conf.
AI FINISHED WRONG 3 Jun 2026
M80
vs
B8

Round 3: M80 vs B8 — Prediction & Match Analysis

M80 and B8 clash in the 3-0 advancement Bo3 at the IEM Cologne Major 2026 Stage 1 — the winner advances with a perfect record. M80 have been dominant: a 13-8 win over Lynn Vision on Inferno (Swisher named MVP with 1.70 rating and 103.1 ADR) and a 13-6 demolition of Sharks on Mirage. B8 have been equally impressive: a 13-6 win over TYLOO on Mirage (npl with 115.3 ADR) and a 13-11 win over THUNDER dOWNUNDER on Dust 2 (kensizor with 1.98 rating). Both teams are in excellent form heading into this Bo3.M80 holds the statistical edge: their roster averages a 1.10 player rating compared to B8's 1.07. M80's lake leads with 1.20 rating and 84.37 ADR, while slaxz- (1.17 rating), Swisher (1.14 rating), and JBa (1.14 rating, 75.03 KAST) provide exceptional depth. B8's npl (1.15 rating) and kensizor (1.14 rating) are their standouts, but alex666 (1.08), baz (1.02), and esenthial (1.02) represent a significant drop-off. M80's career winrate of 68.23% is substantially better than B8's 58.28%.The head-to-head record favors M80 1-0 (a Bo1 win in November 2025). Interestingly, the odds favor B8 at 1.62 vs M80's 2.15 on Thunderpick, which appears to undervalue M80's statistical advantages. In a Bo3 format where roster depth is tested across multiple maps, M80's more balanced and higher-rated lineup gives them the edge. Their tournament performances have been more convincing, and their career winrate advantage is substantial.

Wrong: M80 60% conf.
AI FINISHED WRONG 3 Jun 2026
GG
vs
HERO

Round 3: GG vs HERO — Prediction & Match Analysis

Gaimin Gladiators and Heroic meet in a must-win elimination Bo3 at the IEM Cologne Major 2026 Stage 1 — the loser is eliminated from the tournament. GG lost to BetBoom 4-13 on Dust 2 and then suffered a 1-13 demolition by BIG on Nuke. Heroic lost to Sharks 10-13 on Nuke in Round 1 and then fell to Lynn Vision 11-13 on Dust 2 in Round 2. Both teams are 0-2 and desperate. The odds massively favor Heroic at 1.08 (vs GG's 6.30 on Thunderpick), making this one of the most lopsided markets of the tournament.However, the statistical data tells a more nuanced story. Gaimin Gladiators actually hold a slight edge in average player rating: 1.10 vs Heroic's 1.08. GG's Luken (1.19 rating, 80.78 ADR), HEN1 (1.16 rating, 74.73 KAST), JOTA (1.16 rating, 80.32 ADR), and fer (1.15 rating) form a formidable experienced lineup. Heroic's nilo (1.15 rating) and alkarenn (1.13 rating) are their best performers, but the team's recent form is alarming: just 2W-8L in their last 10 matches (20% win rate).GG's recent form (4W-6L, 40%) is also poor, but significantly better than Heroic's 2W-8L. Heroic underwent significant roster changes in early 2026 (adding susp and Chr1zN), and the team has struggled to find consistency. There is no prior head-to-head history between these teams. While the market strongly favors Heroic, GG's superior individual ratings, better recent form, and experienced roster (HEN1, fer, JOTA are all proven veterans) make them a genuine upset candidate. This is a contrarian pick, but the data supports it.

Wrong: Gaimin Gladiators 57% conf.
AI FINISHED CORRECT 3 Jun 2026
TYLOO
vs
SIN

Round 3: TYLOO vs SIN — Prediction & Match Analysis

TYLOO and SINNERS meet in a critical elimination Bo3 at the IEM Cologne Major 2026 Stage 1 — the loser is out of the tournament. TYLOO dropped their opener to B8 6-13 on Mirage and then fell narrowly to MIBR 14-16 on Nuke in Round 2. SINNERS lost to FlyQuest 14-16 on Ancient in Round 1 and then fell to NRG 6-13 in Round 2. Both teams are 0-2 and fighting for survival. There is no prior head-to-head history between these teams.The statistical edge belongs clearly to TYLOO. Their roster averages a 1.09 player rating compared to SINNERS' 1.03 — a meaningful gap in a Bo3 format. TYLOO's top-5 are all performing at a high level: JamYoung (1.21 rating, 81.43 ADR), zero (1.20 rating, 79.11 ADR), Moseyuh (1.16 rating), SLOWLY (1.15 rating), and Mercury (1.15 rating). This is a remarkably balanced and deep roster. SINNERS' stressarN leads at 1.16 rating but the team drops off more sharply, with ZEDKO at 1.07 and SHOCK at 1.08.TYLOO's career winrate of 62.64% also outpaces SINNERS' 59.62%. The betting market agrees, with TYLOO favored at 1.72 vs SINNERS' 2.00 on Thunderpick. In a Bo3 elimination match where map pool depth and individual consistency matter most, TYLOO's superior roster depth and higher average ratings make them the pick. Their narrow 14-16 loss to MIBR in Round 2 shows they can compete at this level.

Correct: TYLOO 60% conf.
AI FINISHED CORRECT 3 Jun 2026
GL
vs
BB

Round 3: GL vs BB — Prediction & Match Analysis

GamerLegion and BetBoom Team face off in the 3-0 advancement match of the IEM Cologne Major 2026 Stage 1 Swiss bracket — the winner advances with a perfect 3-0 record. GamerLegion have been impressive, beating NRG 13-10 on Inferno (with Hypex named MVP) and FlyQuest 13-11 on Nuke. BetBoom have been equally dominant: a 13-4 demolition of Gaimin Gladiators on Dust 2 and a 13-9 win over Team Liquid on Dust 2. This is a Bo3 format, which rewards depth and map pool breadth.The head-to-head record strongly favors BetBoom: 5-1 overall, with BetBoom winning the last two meetings including a 0-2 sweep in April 2026 and a 1-2 loss in July 2025. GamerLegion's only H2H win came in November 2024. BetBoom's career winrate of 63.87% significantly outpaces GamerLegion's 52.17%. Player ratings are close — BetBoom averages 1.03 vs GamerLegion's 1.02 — but BetBoom's top players Magnojez (1.17 rating, 82.65 ADR) and zorte (1.15 rating, 73.2 KAST) provide a stronger top-2.GamerLegion's recent form (7W-3L, 70%) is actually better than BetBoom's (6W-4L, 60%), which is the main argument for an upset. However, the H2H dominance, superior career winrate, and BetBoom's impressive tournament performances (beating both Gaimin Gladiators and Liquid convincingly) make them the clear pick in this Bo3. The odds at 1.65 for BetBoom reflect the market's view, which aligns with the data.

Correct: BetBoom Team 65% conf.
AI FINISHED WRONG 3 Jun 2026
TdU
vs
BIG

Round 3: TdU vs BIG — Prediction & Match Analysis

THUNDER dOWNUNDER and BIG meet in Round 3 of the IEM Cologne Major 2026 Stage 1, both at 1-1. TdU made headlines on Day 1 by stunning MIBR 13-6 on Inferno — one of the biggest upsets of the tournament — before falling to B8 11-13 on Dust 2 in Round 2. BIG lost to Liquid 10-13 on Nuke in Round 1 but bounced back with a dominant 13-1 demolition of Gaimin Gladiators on Nuke in Round 2. There is no prior head-to-head history between these teams.The statistical data presents an interesting contrast to the betting market. THUNDER dOWNUNDER's roster averages a 1.12 player rating compared to BIG's 0.99 — a significant gap. TdU's asap leads with 1.22 rating and 82.83 ADR, while aliStair contributes 1.16 rating. BIG's blameF (1.24 rating, 84.96 ADR) and gr1ks (1.21 rating) are their standout performers, but the team's overall average is dragged down by lower-rated players. TdU's career record of 87.18% (34W-5L) is extraordinary, though the small sample size warrants caution.The odds heavily favor BIG at 1.25 (vs TdU's 3.50 on Thunderpick), reflecting BIG's higher global ranking (39th vs TdU's 69th). However, TdU's superior team rating average and their proven ability to upset higher-ranked opponents (as shown against MIBR) make them a genuine threat. This is a high-variance Bo1 where TdU's individual quality could overcome the ranking gap. We lean slightly toward TdU based on the rating data, but acknowledge this is a contrarian pick against the market.

Wrong: THUNDER dOWNUNDER 57% conf.
AI FINISHED CORRECT 3 Jun 2026
TL
vs
MIBR

Round 3: TL vs MIBR — Prediction & Match Analysis

Team Liquid and MIBR meet in a critical Round 3 Bo1 at the IEM Cologne Major 2026 Stage 1, both at 1-1. Liquid beat BIG 13-10 on Nuke in Round 1 but fell to BetBoom 9-13 on Dust 2 in Round 2. MIBR suffered a shocking 6-13 upset loss to THUNDER dOWNUNDER on Inferno in Round 1 — a result that broke many Pick'Em predictions — before recovering with a 16-14 win over TYLOO on Nuke in Round 2. The all-time head-to-head record is a remarkable 8-0 in Liquid's favor, including three 2-0 Bo3 sweeps in 2025 and a 2-1 win in December 2024.However, current form tells a different story. Liquid is in alarming shape with just 3W-7L in their last 10 matches (30% win rate), including losses to TheMongolz, 3DMAX, Astralis, GamerLegion, and Spirit. MIBR, by contrast, sits at 6W-4L (60%) in their last 10. MIBR's star player kl1m is performing at an elite level with a 1.30 rating and 84.38 ADR — the highest individual rating in this matchup. insani adds 1.21 rating and 83.42 ADR, giving MIBR a formidable top-2.The odds slightly favor MIBR (1.78 vs Liquid's 1.92 on Thunderpick), which aligns with the current form picture. While Liquid's 8-0 H2H dominance is historically significant, the H2H matches are spread across years and the most recent form strongly favors MIBR. In a single Bo1 map, MIBR's individual firepower — particularly kl1m — makes them the slight pick, though Liquid's H2H record keeps this from being a high-confidence call.

Correct: MIBR 57% conf.
AI FINISHED CORRECT 3 Jun 2026
SHK
vs
LVG

Round 3: SHK vs LVG — Prediction & Match Analysis

Sharks and Lynn Vision clash in Round 3 of the IEM Cologne Major 2026 Stage 1, both at 1-1. Sharks opened with a 13-10 win over Heroic on Nuke but were then dismantled by M80 6-13 on Mirage. Lynn Vision dropped their opener to M80 8-13 on Inferno but bounced back with a 13-11 win over Heroic on Dust 2. The statistical picture clearly favors Lynn Vision: their team averages a 1.11 player rating versus Sharks' 1.01, a significant gap at this level.Lynn Vision's recent form is notably stronger — 7W-3L in their last 10 matches (70% win rate) compared to Sharks' 5W-5L (50%). Their career winrate of 66.78% also outpaces Sharks' 61.04%. Lynn Vision's top players z4kr (1.18 rating, 77.09 ADR) and Starry (1.16 rating, 79.79 ADR) are performing at a high level, while Sharks' doc (1.18 rating, 82.88 ADR) is their standout but the team's overall average lags behind. There is no prior head-to-head history between these teams.The odds are nearly even (Sharks 1.88, Lynn Vision 1.82 on Thunderpick), but the data points more clearly to Lynn Vision. Their superior team rating average, better recent form, and higher career winrate all point in the same direction. In a Bo1 where individual performance is decisive, Lynn Vision's deeper roster quality gives them the edge.

Correct: Lynn Vision 62% conf.
AI FINISHED WRONG 3 Jun 2026
NRG
vs
FLY

Round 3: NRG vs FLY — Prediction & Match Analysis

NRG and FlyQuest meet in Round 3 of the IEM Cologne Major 2026 Stage 1 Swiss bracket, both sitting at 1-1 records. NRG recovered from a 10-13 loss to GamerLegion in Round 1 by defeating SINNERS 13-6 in Round 2, while FlyQuest edged SINNERS 16-14 in Round 1 before falling to GamerLegion 11-13 in Round 2. The key statistical edge belongs to FlyQuest: their roster averages a 1.17 player rating compared to NRG's 1.11, led by nettik (1.24 rating, 84.41 ADR) and INS (1.22 rating, 85.34 ADR) — two of the highest-rated players in this matchup.NRG's recent form is a significant concern, sitting at just 3W-7L in their last 10 matches (30% win rate), while FlyQuest has been more consistent at 5W-5L (50%). There is no head-to-head history between these two teams. The betting market has this as a true coin flip at 1.85/1.85 on Thunderpick, which aligns with the competitive nature of the matchup. However, FlyQuest's superior individual player ratings and better recent form give them a slight statistical edge in this Bo1 format.In a Bo1, individual firepower matters enormously, and FlyQuest's top-end talent — particularly nettik and INS — gives them the edge. NRG's oSee (1.19 rating) and Brehze (1.15 rating) are capable of carrying, but the team's poor recent form (3W-7L) is hard to ignore. FlyQuest is the slight pick here, though this is a genuine coin flip and either outcome would not be surprising.

Wrong: FlyQuest 58% conf.
AI FINISHED CORRECT 2 Jun 2026
ENRAGE
vs
WING

Upper bracket round 2 match 3: ENRAGE vs WING — Prediction & Match Analysis

Wingman get a low-confidence form-side lean in the ESEA playoff Bo3 against ENRAGE. The structural case is built almost entirely on the recent edge: 5W-5L recent form vs ENRAGE's 4W-6L, with both sides carrying small career samples (Wingman 15, ENRAGE 34) at similar rates (40% and 44.12%).The ENRAGE caseENRAGE bring a slightly better career rate (44.12% vs 40%) and a deeper sample (34 vs 15). That's a real baseline edge if the matchup were closer on every other axis — but the 4W-6L form line is the cold patch, and no head-to-head exists to ground the matchup historically. No book price published, removing the market tiebreaker.Why 58This is essentially a coin flip with Wingman's narrow recent edge as the only tiebreaker. Both rosters operate below the public-betting threshold and the data is sparse across the board. Backing the form-momentum read at 58 honestly weights the absence of any deeper differentiator.

Correct: Wingman 58% conf.
AI FINISHED CORRECT 2 Jun 2026
RGG
vs
TIN

Lower bracket round 1 match 5: RGG vs TIN — Prediction & Match Analysis

ROUNDS get a measured form-and-H2H lean in the ESEA playoff Bo3 against tincan. The structural case is matchup-pattern-driven: 5W-5L recent form vs tincan's 2W-8L, a 1-0 head-to-head record, and a much deeper career sample (115 vs 3 matches).The tincan casetincan carry a slightly higher career rate (33.33% on 3 matches) than ROUNDS' 27.83% — but the sample size (3 vs 115) makes that rate effectively meaningless. The 2W-8L recent form is the killer: a 30-point swing in recent winrate against an opponent that has already won the prior meeting is rarely a Bo3-flipping setup.Why 65Form gap of 30 points plus prior 1-0 H2H plus sample-depth advantage all stack on ROUNDS. The 65 confidence is held below 75 because ROUNDS' own career rate (27.83%) is genuinely below replacement-level — they're winning this matchup because tincan is colder, not because ROUNDS are dominant in absolute terms. No book line removes the market tiebreaker.

Correct: ROUNDS 65% conf.
AI FINISHED WRONG 2 Jun 2026
PRE
vs
CC

Winners match: PRE vs CC — Prediction & Match Analysis

Prestige get a high-confidence stacked lean in the United21 Season 50 Group C Bo3 against Clutchain. The data stack is clean: 49.57% career rate on 117 matches vs Clutchain's 2-match career sample, 6W-4L recent form vs Clutchain's 5W-5L, and a Thunderpick line of 1.23 / 3.70 — implying roughly 81% true win probability for Prestige.The Clutchain caseClutchain's entire visible career sample is two matches. There's effectively no scouting data, no head-to-head, and no historical baseline to ground any upset case. The 5W-5L form line is the only positive signal — fine in isolation but trailing Prestige's 6W-4L by one match.Why 75Market consensus plus career-sample depth plus form line all stack on Prestige. The 75 confidence reflects backing the data while honestly weighting the unknown-roster variance — books occasionally over-rate established sides against new projects that have private practice data the public side can't see.

Wrong: Prestige 75% conf.

How Our CS2 AI Predictions Work

Our CS2 AI prediction engine uses machine learning to analyze every upcoming professional Counter-Strike 2 match. The AI model processes 8+ statistical dimensions simultaneously: team form over the last 90 days, map-specific win rates, head-to-head history between the two rosters, individual player performance metrics (HLTV 2.0 rating, ADR, KAST%, opening duel win rates), roster stability, tournament seeding context, schedule fatigue and real-time betting odds from multiple bookmakers.

Unlike manual predictions that rely on human intuition and can be influenced by bias, our AI predictions are purely data-driven. The model weighs each factor according to its predictive power, with recent performance carrying the highest weight. Every 6-12 hours, the AI scans for upcoming matches without predictions and generates a complete analysis including a recommended pick, confidence rating, pros/cons for each team and a written analytical summary.

CS2 AI Predictions vs Traditional Predictions

Traditional CS2 predictions rely on human analysts who may be influenced by narrative bias, recency bias or emotional attachment to specific teams. AI predictions eliminate these biases by processing raw statistical data objectively. The AI model evaluates every match using the same rigorous methodology, whether it's a tier-1 grand final or a tier-2 qualifier match. This consistency produces more reliable results over large sample sizes.

Our AI prediction accuracy is tracked transparently at the top of this page. Every prediction is logged with its outcome, allowing you to verify the model's reliability across different tournament tiers, match formats and confidence ranges. The model continuously improves as more data accumulates, refining its understanding of which statistical signals are most predictive of match outcomes.

Using AI Predictions for CS2 Betting

AI-generated CS2 predictions are particularly valuable for identifying value bets. When the AI assigns a confidence rating that implies a higher win probability than what bookmaker odds suggest, that represents a statistical edge. For example, if the AI predicts Team A at 68% confidence but the bookmaker odds imply only a 55% probability, the discrepancy suggests potential value on Team A.

Each AI prediction includes a detailed analytical summary explaining the reasoning behind the pick, plus individual pros and cons for both teams. This transparency allows you to understand the AI's logic and make informed decisions. Combine AI predictions with your own knowledge of the CS2 scene for the most effective betting strategy.

CS2 AI Predictions FAQ

How does CS2 AI prediction work?

Our CS2 AI prediction system uses machine learning to analyze match data. For each upcoming match, the AI processes team form (last 90 days), map pool win rates, head-to-head records, individual player statistics (rating, ADR, KAST%, HS%), roster stability, tournament context and real-time betting odds. The model weighs these factors and outputs a predicted winner with a confidence percentage. Predictions are generated automatically every 6-12 hours.

How accurate are CS2 AI predictions?

Our AI prediction accuracy is tracked transparently on this page with a full win/loss record. The accuracy varies by match type and tournament tier — the model typically performs best on tier-1 BO3 matches where more historical data is available. Each prediction includes a confidence rating that reflects how strongly the statistical signals align. Higher confidence predictions (70%+) tend to have significantly better accuracy than lower confidence ones.

What is the difference between AI predictions and expert predictions?

AI predictions are generated entirely by machine learning models using statistical data, eliminating human bias. Expert predictions combine data analysis with qualitative insights like player motivation, team dynamics and map meta shifts. Both approaches have strengths — AI excels at processing large datasets consistently, while human experts can factor in intangible elements. On CS2Bet, all predictions are generated by our AI model for maximum objectivity and consistency.

How often are CS2 AI predictions updated?

The AI prediction engine runs every 6-12 hours, scanning for upcoming matches without predictions and generating new analyses. Predictions are typically published 12-48 hours before match start time, giving you ample time to review the analysis and compare against bookmaker odds. Once published, predictions are not revised — the original pick and confidence rating stand as a permanent record.

Can I use CS2 AI predictions for PrizePicks and player props?

AI match predictions focus on match winners and series outcomes. For player-specific projections like PrizePicks and player props, visit our dedicated CS2 PrizePicks and Player Props pages which provide individual player statistical projections. However, AI match predictions can inform player prop decisions — if the AI predicts a team to win convincingly, star players on that team may be more likely to exceed their projected stats.

What data sources does the CS2 AI prediction model use?

The AI model uses professional CS2 match data covering all major tournaments, leagues and qualifiers. Data includes match results, round-by-round scores, individual player statistics per map, roster composition history, tournament brackets and real-time betting odds from multiple bookmakers. The model only uses verified, structured data — it does not scrape social media or use unverified sources.

Inside the CS2 AI Prediction Model

Our AI prediction engine is built on a machine learning pipeline trained on thousands of professional Counter-Strike 2 match results. The model learns which statistical patterns most reliably predict match outcomes, then applies those learned relationships to every upcoming match in real time.

Data Inputs and Feature Engineering

The AI ingests structured data across eight dimensions for every match: team form over the last 90 days weighted by recency, map-specific win rates for each team across the active map pool, head-to-head records between the two rosters, individual player statistics including HLTV 2.0 rating, ADR and KAST percentage, roster stability scores reflecting recent lineup changes, tournament context such as group stage versus playoffs, schedule density measuring potential fatigue, and real-time bookmaker odds from multiple sportsbooks. Each data point is normalized and fed into the model as a numerical feature.

Confidence Ratings and Transparency

Every AI prediction includes a confidence percentage that reflects how strongly the statistical signals align. A 75% confidence rating means the model's internal probability estimate heavily favors one side across most input dimensions. A 55% rating indicates a closely contested matchup where signals are mixed. We publish these ratings transparently so you can calibrate your trust in each prediction. High-confidence picks above 70% historically outperform lower-confidence outputs, but lower-confidence predictions often correspond to matches where bookmaker odds offer the most value.

Track Record and Continuous Improvement

The AI model's full win/loss record is displayed at the top of this page with no selective filtering. Every prediction is logged permanently with its outcome, allowing you to evaluate accuracy across tournament tiers, match formats and confidence ranges. The model retrains periodically on new match data, incorporating the latest results to refine its understanding of which features carry the most predictive power. This continuous learning loop means the AI adapts to meta shifts, roster changes and evolving competitive dynamics without manual intervention.

Combining AI Predictions with Betting Strategy

AI predictions are most valuable when compared against bookmaker odds to identify statistical edges. When the AI's confidence rating implies a higher win probability than the odds suggest, that discrepancy may represent a value betting opportunity. Use the AI's analytical summary and team-level pros and cons to understand the reasoning, then apply disciplined bankroll management to size your wagers appropriately.