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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 7 Jun 2026
MIBR
vs
BIG

Round 3: MIBR vs BIG — Prediction & Match Analysis

This is one of the tighter calls of the day, but BIG hold the edge based on head-to-head history and Stage 2 context. BIG lead the all-time H2H 5-3, and while MIBR won the two most recent meetings (2023-2024), BIG's overall dominance in this matchup is notable. In Stage 2, MIBR beat Legacy 13-8 in Round 1 but were then demolished 1-13 by Spirit in Round 2 — a result that raises serious questions about their defensive structure. BIG lost to Monte in Round 1 before recovering to beat paiN 13-9 in Round 2.MIBR's firepower is undeniable: kl1m leads with a 1.30 rating and 84.38 ADR, supported by insani (1.21 rating, 83.42 ADR) and venomzera (1.14). BIG respond with blameF (1.24 rating, 84.96 ADR), gr1ks (1.21 rating, 78.50 ADR), and faveN (1.13). The teams are closely matched in individual talent, but BIG's roster depth — with tabseN (1.10), JDC (1.12), and Krimbo (1.13) all contributing — gives them a slight edge in a Bo1 format where any player can be the difference.MIBR's recent form of 6W-4L edges BIG's 5W-5L, but the 13-1 scoreline against Spirit suggests MIBR may struggle against top-tier opposition. The Epicbet market has this at exactly 1.86/1.86 — a true coin flip. BIG's H2H advantage and MIBR's alarming Round 2 performance tip the scales slightly toward the German side.

Correct: BIG 57% conf.
AI FINISHED CORRECT 7 Jun 2026
AST
vs
TYLOO

Round 3: AST vs TYLOO — Prediction & Match Analysis

Despite Astralis being the betting favorite at 1.45-1.48, the data tells a different story. TYLOO have won the last three head-to-head meetings against Astralis — a 1-2 Bo3 loss in August 2025, a 1-3 Bo5 defeat in July 2025, and a 1-2 Bo3 in July 2025 — making the H2H record 3-0 in TYLOO's favor in recent years. Astralis's three wins in the H2H all date back to 2016-2018, making them essentially irrelevant to the current rosters.TYLOO's player statistics are notably stronger. Their roster features JamYoung (1.21 rating, 81.43 ADR), zero (1.20 rating, 79.11 ADR), Moseyuh (1.16), SLOWLY (1.15), and Mercury (1.15) — a team average of approximately 1.15. Astralis counters with phzy (1.14), Ryu (1.14), Magisk (1.12), and Bubzkji (1.11), averaging around 1.10. TYLOO's KAST numbers (~73%) also edge Astralis (~71%). In Stage 2, TYLOO beat paiN in Round 1 before losing to FUT in Round 2, while Astralis beat GamerLegion before being crushed 5-13 by 9z.TYLOO's recent form of 6W-4L outpaces Astralis's concerning 4W-6L run. The market's preference for Astralis appears to be based on brand recognition rather than current data. This is a value pick on TYLOO, though the Bo1 format keeps confidence moderate.

Correct: TYLOO 58% conf.
AI FINISHED WRONG 7 Jun 2026
MNTE
vs
LGC

Round 3: MNTE vs LGC — Prediction & Match Analysis

Legacy enter this Bo1 as the clear statistical favorite, riding a 7W-3L run in their last 10 matches compared to Monte's 5W-5L. In Stage 2 of the IEM Cologne Major, Legacy have already demonstrated their quality — defeating MIBR 13-8 in Round 1 and FlyQuest 13-7 in Round 2 — while Monte beat BIG in Round 1 before falling to G2 22-19 in a close Round 2 contest. Legacy's current HLTV world ranking of #7 significantly outpaces Monte's ~#30 standing.The player statistics strongly favor Legacy. Their roster averages a team rating of approximately 1.14, led by dumau (1.19 rating, 81.53 ADR), latto (1.16 rating, 78.58 ADR), and lux (1.14 rating, 78.67 ADR). Monte's best performers — Rainwaker (1.14) and afro (1.13) — are competitive but the Brazilian side has more depth and consistency across all five starters. Legacy's KAST numbers (team average ~73%) also edge out Monte's (~72%).Head-to-head history is tied 1-1, but Legacy won the most recent meeting in March 2026 with a convincing 2-0 Bo3 result. The betting market reflects this edge with Legacy priced at 1.48-1.52 versus Monte's 2.35-2.48. In a single-map format where variance is high, Legacy's superior form and ranking make them the pick.

Wrong: Legacy 65% conf.
AI FINISHED WRONG 6 Jun 2026
LGC
vs
MIBR

Round 1: LGC vs MIBR — Prediction & Match Analysis

Legacy enter this IEM Cologne Major 2026 Stage 2 Bo1 as clear favorites, backed by exceptional recent form (8W-2L in last 10) and a dominant 5-3 H2H record against MIBR. Most critically, Legacy beat MIBR 2-0 in their most recent meeting on May 23, 2026 — just two weeks before this match. Legacy are ranked #7 in the world (HLTV), while MIBR sit at #19, reflecting a meaningful tier gap.Legacy's roster averages 1.10 in player rating, led by dumau (1.19 rating, 81.53 ADR, 1.13 K/D), latto (1.16, 1.14 K/D), lux (1.14), and saadzin (1.14). MIBR counter with kl1m (1.30 rating, 84.38 ADR, 1.42 K/D) — the highest-rated player in this matchup — and insani (1.21 rating). MIBR's star power is real, but Legacy's depth and consistency give them the edge in a Bo1 where one player cannot carry every round.The odds at 1.40 (Legacy) vs 2.74 (MIBR) align with our assessment. Legacy's 8W-2L form, their 5-3 H2H advantage, their recent 2-0 win over MIBR, and their #7 world ranking all point to Legacy as the pick. MIBR's recent form (6W-4L) includes wins over Lynn Vision, Liquid, and TYLOO, but these are lower-tier opponents compared to Legacy's recent schedule, which included wins over Team Falcons (3-1 Bo5) and Natus Vincere (2-1).

Wrong: Legacy 70% conf.
AI FINISHED CORRECT 6 Jun 2026
TS
vs
BB

Round 1: TS vs BB — Prediction & Match Analysis

Team Spirit are the standout pick of the day at IEM Cologne Major 2026 Stage 2. Their recent form is exceptional — 9W-1L in their last 10 matches, including a 3-0 Bo5 win over Team Falcons at PGL Astana 2026 (May 17) and back-to-back 2-0 wins over G2 and MOUZ. Spirit are ranked #3 in the world (HLTV, May 2026) and enter as one of the tournament favorites. The only concern is the absence of both coaches — head coach hally (hospitalized) and S0tF1k (visa denied) — but Spirit's individual quality should compensate.Spirit's roster is headlined by donk (1.36 rating, 92.61 ADR, 1.33 K/D) — arguably the best player in the world right now — and sh1ro (1.28 rating, 1.46 K/D). These two alone represent a massive individual advantage over BetBoom's roster. Spirit's team average of 1.05 understates their impact due to the support roles, while BetBoom average 1.03. BetBoom's Magnojez (1.17) and zorte (1.15) are solid, but they cannot match Spirit's firepower.The odds at 1.30 (Spirit) vs 3.22 (BetBoom) reflect the market's strong confidence in Spirit, and the data fully supports this. BetBoom have no H2H record against Spirit to draw on, and their recent form (6W-4L) — while decent — includes losses to Legacy (0-2) and Natus Vincere (0-2). Spirit's coaching absence is a risk factor, but in a Bo1 format, individual skill dominates, and Spirit have the best individual players in this matchup by a significant margin.

Correct: Spirit 78% conf.
AI FINISHED CORRECT 6 Jun 2026
MNTE
vs
BIG

Round 1: MNTE vs BIG — Prediction & Match Analysis

The Monte vs BIG matchup at IEM Cologne Major 2026 Stage 2 is one of the most evenly contested Bo1s of the day. The H2H record is perfectly tied 3-3, with the most recent meeting going to BIG (1-0 on September 27, 2025). Monte enter with a 6W-4L record in their last 10, while BIG post 5W-5L — a slight form edge for Monte. Monte are ranked #24 globally while BIG sit at #39.Monte's roster averages 1.09 in player rating, led by Rainwaker (1.14) and afro (1.13). BIG's roster averages 0.99 overall, but this is misleading — their top performers blameF (1.24 rating, 84.96 ADR, 1.20 K/D) and gr1ks (1.21 rating, 1.23 K/D) are among the best individual players in this matchup. BIG's star-heavy approach can win a single map, but their lower-rated players create exploitable gaps.The odds at 1.80 (Monte) vs 1.90 (BIG) reflect near-parity, with a slight lean toward Monte. Monte's higher world ranking (#24 vs #39), better recent form, and more balanced roster give them a marginal edge. However, BIG's blameF and gr1ks can single-handedly swing a Bo1, keeping this prediction at low confidence. Monte's wins over Heroic (3-1 Bo5) and NIP (twice) in April show they can perform in high-pressure situations.

Correct: Monte 57% conf.
AI FINISHED CORRECT 6 Jun 2026
G2
vs
M80

Round 1: G2 vs M80 — Prediction & Match Analysis

G2 hold a commanding 4-1 head-to-head record against M80, including a 2-1 win in their most recent meeting on March 3, 2026. Despite G2's recent form dip (4W-6L in last 10), their H2H dominance and status as one of the world's top teams make them the clear pick in this IEM Cologne Major 2026 Stage 2 Bo1. The odds at 1.30 (G2) vs 3.22 (M80) reflect the market's strong confidence in G2.G2's roster features five players all rated above 1.12: MATYS (1.17, 81.6 ADR), HeavyGod (1.16), SunPayus (1.15, 1.21 K/D), NertZ (1.14), and huNter- (1.12). Their team average of 1.05 is slightly below M80's 1.10, but G2's individual ceiling — particularly SunPayus's 1.21 K/D and MATYS's 81.6 ADR — gives them the firepower to win a single map. M80's lake (1.20 rating) and slaxz- (1.17, 1.29 K/D) are impressive, but M80's career winrate of 68.23% is inflated by matches against lower-tier opposition.G2's recent struggles (losses to Spirit, TheMongolz, MOUZ, FaZe, Vitality) are against elite competition, which actually speaks to the difficulty of their schedule rather than a fundamental decline. Against M80 specifically, G2 have been dominant, and in a Bo1 format, their experience and individual quality should prevail. M80's loss to B8 (0-2 on June 3) is a red flag heading into this match.

Correct: G2 68% conf.
AI FINISHED WRONG 6 Jun 2026
paiN
vs
TYLOO

Round 1: paiN vs TYLOO — Prediction & Match Analysis

paiN hold a perfect 3-0 head-to-head record against TYLOO, including a 2-1 win on May 21 — their most recent meeting. This H2H dominance is the strongest single factor in this IEM Cologne Major 2026 Stage 2 Bo1. Both teams enter with 6W-4L records in their last 10 matches, making form a neutral factor, but paiN's proven ability to beat TYLOO specifically gives them a clear edge.Player-wise, TYLOO actually holds a slight statistical edge with a 1.09 team average rating versus paiN's 1.08. TYLOO's JamYoung (1.21 rating, 1.20 K/D) and zero (1.20 rating) are among the highest-rated players in this matchup. However, paiN's roster is remarkably balanced — all five starters rate between 1.14-1.16 — with vsm (1.16, 80.0 ADR), piriajr (1.16, 1.13 K/D), nqz (1.15, 1.23 K/D), biguzera (1.14), and saffee (1.14) all performing at a high level. This consistency is harder to exploit than TYLOO's star-dependent approach.The odds at 1.62 (paiN) vs 2.15 (TYLOO) align with our assessment. paiN's 3-0 H2H record, their balanced roster, and their career winrate of 64.95% (vs TYLOO's 62.64%) all point to paiN as the pick. TYLOO's recent form — including wins over Lynn Vision, Sharks, and Sinners — is solid but against lower-tier opposition than paiN's recent schedule.

Wrong: paiN 65% conf.
AI FINISHED WRONG 6 Jun 2026
FUT
vs
B8

Round 1: FUT vs B8 — Prediction & Match Analysis

B8 enter this IEM Cologne Major 2026 Stage 2 Bo1 against FUT Esports on the back of a 7W-3L run in their last 10 matches, compared to FUT's 6W-4L. More importantly, B8 advanced through Stage 1 with a perfect 3-0 record, including a 2-0 win over M80, demonstrating they are in peak form entering Stage 2. Their most recent result — a 2-0 win over M80 on June 3 — confirms their momentum.The H2H record is tied 2-2, but the most recent meeting went to B8 (2-0 on May 13), reversing FUT's earlier 2-0 win in April. B8's roster features npl (1.15 rating, 79.65 ADR) and kensizor (1.14 rating, 79.92 ADR) as consistent performers, while FUT's lauNX (1.12) and dziugss (1.12) are solid but slightly below B8's top end. Both teams have comparable KAST averages (~72-73%).The odds at 1.61 (FUT) vs 2.18 (B8) suggest the market slightly favors FUT, likely due to their higher career winrate (63.27% vs 58.28%). However, B8's superior recent form, their Stage 1 3-0 run, and their most recent H2H win over FUT make them the data-driven pick in this Bo1. FUT's losses to B8 (0-2), paiN (1-2), and Vitality (1-2) in their last 10 are concerning.

Wrong: B8 62% conf.
AI FINISHED WRONG 6 Jun 2026
9z
vs
FLY

Round 1: 9z vs FLY — Prediction & Match Analysis

This IEM Cologne Major 2026 Stage 2 Bo1 between 9z and FlyQuest is a fascinating matchup with no prior H2H history. Both teams enter with identical 5W-5L records in their last 10 matches, making form a neutral factor. The key differentiator is player quality: FlyQuest's roster averages a 1.17 player rating compared to 9z's 1.10, a meaningful gap at the individual level.FlyQuest's firepower is 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. Their KAST numbers (avg ~72.5%) are comparable to 9z's, but the raw fragging output gives FlyQuest an edge in a single-map format. 9z's dgt (1.18 rating) and luchov (1.14) are strong, but the team's recent losses to FaZe, Sharks, and magic suggest inconsistency against varied opponents.The market odds of 1.51 (9z) vs 2.40 (FlyQuest) heavily favor 9z, likely reflecting their higher career winrate (67.55% vs 59.85%) and South American pedigree. However, FlyQuest's superior individual ratings and recent wins over Liquid (2-0) and THUNDER dOWNUNDER (2-0) suggest they are undervalued. This is a slight lean toward FlyQuest based on player stats, though the lack of H2H data keeps confidence modest.

Wrong: FlyQuest 58% conf.
AI FINISHED WRONG 6 Jun 2026
AST
vs
GL

Round 1: AST vs GL — Prediction & Match Analysis

GamerLegion enter this IEM Cologne Major 2026 Stage 2 Bo1 in significantly better form than Astralis, posting a 7W-3L record in their last 10 matches compared to Astralis's 5W-5L. Crucially, GamerLegion have beaten Astralis in their last two direct meetings — a 2-0 on May 13 and a 2-0 on May 1 — and hold a 4-4 all-time H2H record. Their recent run includes wins over BIG (2-0), FlyQuest, and NRG, demonstrating strong momentum heading into Stage 2.Statistically, both rosters are closely matched with average player ratings around 1.02, but GamerLegion's roster features REZ (1.10 rating, 1.06 K/D) and Kursy (1.12 rating, 1.21 K/D) as reliable fraggers. Astralis's top performers phzy (1.14) and Ryu (1.14) are capable, but the team's recent form — including three losses to GamerLegion in their last four meetings — is a significant concern in a high-stakes Bo1.The odds at 1.85/1.85 reflect a true coin-flip market assessment, but GamerLegion's recent dominance in this specific matchup and their superior current form give them a slight but meaningful edge. In a Bo1 format where momentum matters, GamerLegion's confidence from back-to-back wins over Astralis is a decisive factor.

Wrong: GamerLegion 63% conf.
AI FINISHED WRONG 5 Jun 2026
OXUJI
vs
MISA

OXUJI vs MISA — Prediction & Match Analysis

Oxuji Esports are the dominant favorites in this Series 7 Group B Bo3, priced at 1.22 odds — implying approximately 82% win probability. Their recent form of 7W-3L in the last 10 matches is the best of any team in today's lower-tier selection, including wins over SPARTA (2-0), Athlon (2-0), and CYBERSHOKE Prospects (2-1). Their roster averages 1.08 in player rating, led by Kurama (1.12), HeCkBNk (1.11), and ayano (1.10). Team ADR of 73.8 and KAST of 70.4% reflect a well-rounded lineup.Misa Esports come in at 5W-5L in their last 10 matches, with recent wins over TNC (2-0) and Lilmix (2-1), but also losses to Falcons Force (1-2) and brazylijski luz (0-2). Their average player rating of 1.06 is close to Oxuji's 1.08, with a team ADR of 72.4 and KAST of 71.2% — marginally competitive numbers. However, Misa's career winrate of 54.37% vs Oxuji's 50.65% shows Misa has historically been the stronger team overall, making the odds somewhat surprising.The decisive factors here are Oxuji's superior recent form (7W-3L vs 5W-5L), their 1-0 H2H advantage (2-0 win in November 2025), and the market's overwhelming confidence in them at 1.22 odds. While Misa's career stats are slightly better, Oxuji's current form and H2H edge make them the clear pick at 72% confidence.

Wrong: Oxuji Esports 72% 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.