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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 2 Jun 2026
SIN
vs
FLY

Round 1: SIN vs FLY — Prediction & Match Analysis

FlyQuest hold the edge in this IEM Cologne Major 2026 Stage 1 Bo1 against Sinners, backed by superior individual player ratings across the board. FlyQuest's roster averages are led by nettik (1.24 rating, 84.41 ADR, 1.20 K/D) and INS (1.22 rating, 85.34 ADR) — two of the highest-rated players in this entire matchup. Sinners' best performer, stressarN, rates at 1.16, which is below FlyQuest's top two. FlyQuest's team average across five players sits at approximately 1.17 versus Sinners' 1.11.The head-to-head record favors FlyQuest 1-0, with their only meeting resulting in a 2-1 Bo3 victory for FlyQuest in September 2025. While this is a small sample, it confirms FlyQuest's ability to beat Sinners in a competitive series. The betting market at 1.62/2.15 implies Sinners are ~62% favorites, but the statistical data suggests FlyQuest are undervalued here — their ADR advantage (nettik 84.41, INS 85.34 vs Sinners' best at 79.44) indicates superior fragging power.Sinners' career record (570W-386L, 59.62%) is comparable to FlyQuest's (82W-55L, 59.85%), though FlyQuest's smaller sample size warrants some caution. In a Bo1 format, FlyQuest's individual ceiling — particularly nettik and INS — gives them a genuine path to victory. The market underestimates FlyQuest's firepower, making them the value pick here.

Correct: FlyQuest 58% conf.
AI FINISHED WRONG 2 Jun 2026
B8
vs
TYLOO

Round 1: B8 vs TYLOO — Prediction & Match Analysis

TYLOO enter this IEM Cologne Major 2026 Stage 1 Bo1 as the statistically stronger side against B8. TYLOO's career record of 379W-226L (62.64% winrate) is notably superior to B8's 299W-214L (58.28%). TYLOO's roster is headlined by JamYoung (1.21 rating, 81.43 ADR, 1.20 K/D) and zero (1.20 rating, 79.11 ADR) — both elite performers. Their team average across five players sits at approximately 1.17, compared to B8's 1.08.The head-to-head record favors TYLOO 1-0, with their only meeting resulting in a 2-1 Bo3 victory for TYLOO in August 2025. This confirms TYLOO's ability to beat B8 in a competitive series. TYLOO's roster depth is a key advantage — all five of their top players rate above 1.15, while B8's bottom two (baz and esenthial) rate at just 1.02, creating a clear weak-link vulnerability in a Bo1 format.The betting market at 1.65/2.10 (Thunderpick) implies B8 are ~60% favorites, but the statistical data strongly favors TYLOO. Their superior career winrate, H2H advantage, and higher individual ratings across the board make them the data-driven pick. TYLOO's Chinese regional dominance and cohesive roster structure give them a clear edge in this matchup.

Wrong: TYLOO 62% conf.
AI FINISHED CORRECT 2 Jun 2026
M80
vs
LVG

Round 1: M80 vs LVG — Prediction & Match Analysis

M80 enter this IEM Cologne Major 2026 Stage 1 Bo1 as slight favorites over Lynn Vision. M80's career record stands at 189W-88L (68.23% winrate), marginally ahead of Lynn Vision's 390W-194L (66.78%). In terms of individual firepower, M80's roster is led by lake (1.20 rating, 84.37 ADR) and slaxz- (1.17 rating, 1.29 K/D), while Lynn Vision counters with z4kr (1.18 rating) and Starry (1.16 rating, 79.79 ADR). The team average ratings are closely matched, with M80 averaging approximately 1.15 across their top five versus Lynn Vision's 1.12.There is no head-to-head history between these two sides, making this a true unknown. The betting market at 1.65/2.10 implies roughly a 60/40 split in M80's favor, which aligns with the slight statistical edge M80 holds in career winrate and individual player ratings. M80's slaxz- boasts the highest K/D ratio (1.29) of any player in this matchup, which is a key advantage in a Bo1 format where individual duels can decide the map.Lynn Vision's strength lies in their Chinese regional dominance and a cohesive five-man unit, but their lack of international Bo1 experience at this level is a concern. M80's North American/European mixed roster has more exposure to high-pressure single-map formats. The edge goes to M80, though the absence of H2H data and the volatile Bo1 format keeps confidence moderate.

Correct: M80 60% conf.
AI FINISHED CORRECT 1 Jun 2026
B8.A
vs
XI

Upper bracket round 2 match 5: B8.A vs XI — Prediction & Match Analysis

B8 Academy arrive at this ESEA Season 57 Advanced Division Europe playoff Bo3 on the back of an outstanding 8W-2L run in their last 10 matches — the best recent form of any team in today's slate. XI Esport, by contrast, have gone just 4W-6L in the same period, suggesting a team in poor form heading into a high-stakes playoff match. Neither team has met before, so there is no H2H data to reference.The individual stats tell a different story: XI Esport's roster averages a significantly higher 0.97 rating compared to B8 Academy's 0.75, with Foam (1.06 rating, 71.17 ADR), Jiace (1.00 rating), and Kaspara (1.00 rating) forming a capable core. B8 Academy's best-rated player is r0se at just 0.95, with k1n (0.91) and segukawa (0.77) rounding out a roster that statistically underperforms. The gap in player ratings is notable and suggests B8 Academy's recent wins may have come against weaker opposition.Despite the statistical disadvantage, B8 Academy's 8W-2L momentum is a powerful indicator in playoff CS2. Teams entering playoffs with this level of form often carry confidence and tactical sharpness that raw ratings don't capture. We lean B8 Academy based on form, but acknowledge XI Esport's superior individual stats make this a genuine upset risk if B8's recent run was against weaker opponents.

Correct: B8 Academy 63% conf.
AI FINISHED CORRECT 1 Jun 2026
MSC
vs
STA

Round 4: MSC vs STA — Prediction & Match Analysis

STATE enter this Dust2.dk Ligaen Group Stage Bo3 in exceptional form, posting a remarkable 9W-1L record in their last 10 matches — the second-best recent form in today's slate. MASONIC, by contrast, have gone just 5W-5L in the same period. The H2H record also favors STATE: they defeated MASONIC 2-1 in a Bo3 in April 2026, and according to web research, STATE also beat MASONIC in the Gamebox Masters final at the same event — demonstrating a clear psychological and tactical edge over this opponent.STATE's individual stats support their form: the team averages 1.04 rating versus MASONIC's 0.97, with anarkez (1.13 rating, 72.95 ADR), thamlike (1.10 rating, 74.63 ADR), Zanto (1.09 rating), and sL1m3 (1.09 rating) forming a formidable top-four. MASONIC's Botman (1.13 rating, 75.14 ADR) and KralleJ (1.08 rating, 78.73 ADR) are competitive at the top, but the team's depth drops off significantly with players like Avou (0.83) and grumpyMonk (0.80).MASONIC's career winrate of 53.22% over 793 matches is superior to STATE's 48.44% over 64 matches, but STATE's current form, H2H dominance, and better individual stats all point in one direction. STATE are the clear pick here, with their 9W-1L run and back-to-back wins over MASONIC making them a strong favorite in this Bo3.

Correct: STATE 68% conf.
AI FINISHED WRONG 1 Jun 2026
RT
vs
VP.P

Upper bracket round 2 match 7: RT vs VP.P — Prediction & Match Analysis

VP.Prodigy enter this ESEA Season 57 Advanced Division Europe playoff Bo3 in better form than ReThink, posting a 7W-3L record in their last 10 matches compared to ReThink's 6W-4L. VP.Prodigy also hold the H2H advantage, having defeated ReThink in their only previous meeting — a Bo1 on April 27, 2026. VP.Prodigy's career winrate of 47.04% over 389 matches is notably higher than ReThink's 35.48% over 31 matches, though ReThink's small sample limits the reliability of that comparison.ReThink's individual stats are marginally better — averaging 0.99 rating versus VP.Prodigy's 0.97 — with Rack (1.09 rating, 78.52 ADR) as their standout. VP.Prodigy's TriBorgg1 (1.10 rating, 77.59 ADR) is the best-rated player in this match and provides a genuine carry threat. The market prices ReThink as slight favorites at 1.68 versus VP.Prodigy's 2.06, suggesting the market sees this as close but leans ReThink.We diverge from the market here. VP.Prodigy's superior recent form, H2H win, and TriBorgg1's elite performance make them the pick despite the odds. Note that VP.Prodigy lost F0R3VER and AquaRS to the main Virtus.pro roster in March 2026, which may explain their lower HLTV ranking, but the remaining core has clearly adapted well given their 7W-3L run.

Wrong: VP.Prodigy 60% conf.
AI FINISHED CORRECT 1 Jun 2026
QUA
vs
EP

Upper bracket round 2 match 6: QUA vs EP — Prediction & Match Analysis

QUAZAR and eternal premium meet for the first time in this ESEA Season 57 Advanced Division Europe playoff Bo3, with no H2H history to reference. QUAZAR hold a slight form edge at 6W-4L in their last 10 matches versus eternal premium's 5W-5L. Career winrates are nearly identical — QUAZAR at 50.72% over 209 matches, eternal premium at 51.22% over 41 matches. The market prices QUAZAR as moderate favorites at 1.53 versus 2.29 on Thunderpick.Individual stats are very close. eternal premium's mecry stands out as the best player in this match with a 1.14 rating and an exceptional 83.9 ADR, supported by P1kan0 (1.12 rating, 73.08 ADR). QUAZAR counter with Ne1XXX (1.12 rating, 76.92 ADR) and newt (1.12 rating, 73.3 ADR) — a strong dual-carry setup. QUAZAR's team averages 0.99 rating versus eternal premium's 1.01, with eternal premium also edging KAST (70.5% vs 69.3%).This is a genuine coin-flip match. QUAZAR's better recent form and market positioning give them a marginal edge, but eternal premium's mecry can single-handedly swing maps. We lean QUAZAR based on form and odds, but confidence is low — this could easily go either way in a Bo3.

Correct: QUAZAR 57% conf.
AI FINISHED WRONG 1 Jun 2026
DNT
vs
FF

Upper bracket round 2 match 1: DNT vs FF — Prediction & Match Analysis

This ESEA Season 57 Advanced Division Europe playoff Bo3 is a closely contested matchup. Donstu Esports hold the recent H2H advantage, having defeated Fire Flux Esports 2-1 in a Bo3 as recently as May 12, 2026 — the most relevant data point for this rematch. Both teams share identical 5W-5L recent form, making form a neutral factor. The betting market prices Donstu as favorites at 1.44 versus Fire Flux's 2.60 on Thunderpick.Donstu's roster averages a slightly higher 1.05 rating compared to Fire Flux's 1.02, with gleb86rus (1.14 rating, 76.7 ADR) and Due1yant (1.10 rating) leading the charge. Fire Flux counter with Quality (1.16 rating, 81.31 ADR — the highest ADR in this match) and paz (1.05 rating, 72.76 ADR). Fire Flux's career winrate of 58.62% across 232 matches significantly outpaces Donstu's 47.62% over just 42 matches, suggesting Fire Flux are the more established team.The key differentiator is the recent Bo3 H2H result — Donstu proved they can beat Fire Flux in this exact format. Combined with the market's assessment and Donstu's marginally better player ratings, we lean toward Donstu, though this is a low-confidence pick given Fire Flux's superior career record and Quality's elite ADR output. Either outcome would not be surprising.

Wrong: Donstu Esports 58% conf.
AI FINISHED WRONG 1 Jun 2026
LPH
vs
ESB

Round 3: LPH vs ESB — Prediction & Match Analysis

LPH Gaming enter this Exort Series #27 Main Stage Bo3 as the more consistent side, holding a 53.19% career winrate across 47 matches compared to eSuba's 46.62% over 281 matches. LPH's recent form of 5W-5L is modest but significantly better than eSuba's concerning 3W-7L run in their last 10 — a stretch that includes losses to Oldboys, Vortex CGO, and Partizan Esport. The two sides have never met before, so there is no H2H data to factor in.LPH's roster data shows a functional lineup led by Pepo (1.08 rating, 70.4 ADR) with d0mZ1k (0.97), fajrness (0.94), lojzo (0.91), and N1KOLAJ (0.90) providing solid depth. The team averages 0.92 rating and 67.5 ADR. eSuba's available player data is severely limited — only SHINIGAMI (0.74 rating, 51.83 ADR, 61.6% KAST) appears in the roster database, making a full statistical comparison impossible and raising uncertainty about their current lineup strength.Given eSuba's poor recent form, below-average career winrate, and very limited roster data, LPH Gaming are the pick here. The Czech side's recent win over The Last Resort (2-1) shows eSuba can compete, but their overall trajectory is downward. LPH's more complete roster and better form make them the value play in this Bo3.

Wrong: LPH Gaming 63% conf.
AI CANCELED 1 Jun 2026
PAR
vs
KSM

Round 3: PAR vs KSM — Prediction & Match Analysis

Partizan Esport are the clear favorites in this Exort Series #27 Main Stage Bo3, backed by a 7W-3L run in their last 10 matches and an impressive career winrate of 57.52% across 339 maps. KUUSAMO.gg, by contrast, carry a 31.58% career winrate — one of the lowest in this field — and have gone just 5W-5L recently. The head-to-head record further favors Partizan: they defeated KUUSAMO.gg 2-0 in a Bo3 at Exort Series #23 in February 2026.KUUSAMO do have a slight individual stats edge — their active roster averages 0.99 rating versus Partizan's 0.94 — led by osku (1.18 rating, 75.13 ADR) and jalwar (1.02 rating). Partizan's top performers ROGA (1.16 rating, 72.65 ADR) and dyrod (1.14 rating, 73.4 ADR) are competitive, but the team's lower-end players (DotlA at 0.94, m1traa at 0.75) drag the average down.Despite KUUSAMO's marginal individual stats advantage, Partizan's superior form, dominant career record, and direct H2H win make them the pick. In a Bo3 format, Partizan's consistency across maps should prove decisive. No odds are available for this match, but the data strongly supports Partizan.

Predicted: Partizan Esport 65% conf.
AI FINISHED CORRECT 1 Jun 2026
DNT
vs
G1

Decider match: DNT vs G1 — Prediction & Match Analysis

GenOne enter this European Pro League Series 7 Closed Qualifier decider match as the clear form team, posting a 7W-3L record in their last 10 matches compared to Donstu Esports' 5W-5L. GenOne's superior career winrate of 52.58% versus Donstu's 47.62% across a much larger sample (523 matches vs 42) further underlines their pedigree. The betting market reflects this, with GenOne priced at 1.38 against Donstu's 2.80 on Thunderpick.Donstu do hold a slight edge in individual player ratings — their active five average 1.05 compared to GenOne's 0.95 — led by gleb86rus (1.14 rating, 76.7 ADR) and Due1yant (1.10 rating). However, GenOne's Chucky (1.14 rating, 70.87 ADR) and Djoko (1.08 rating, 74.8 ADR) provide a capable top end. Crucially, GenOne won the only previous H2H meeting between these sides, a Bo1 in February 2025.In a Bo3 format, GenOne's stronger recent form and historical H2H advantage make them the pick. Donstu's individual stats are competitive but their inconsistent 5W-5L run — including three consecutive losses to brazylijski luz, Bushido Wildcats, and G2 Ares — raises concerns about their current level. GenOne at 1.38 represents fair value given the data.

Correct: GenOne 62% conf.
AI FINISHED WRONG 31 May 2026
MARS
vs
CCE

Upper bracket final: MARS vs CCE — Prediction & Match Analysis

Marsborne get a high-confidence stacked lean in the FRAG TAP Reloaded 2026 playoff Bo3 against Chicken Coop Esports. Every visible metric aligns the same way: 60.36% career rate on 169 matches vs 38.96% on 77, 7W-3L recent form vs 6W-4L, a Thunderpick line of 1.53 / 2.34, and crucially a 4-1 head-to-head record against Chicken Coop.The Chicken Coop caseChicken Coop bring a 6W-4L recent form line — respectable in isolation but trailing Marsborne's 7W-3L. The career rate gap (38.96% vs 60.36%) is enormous, the career sample is half the size, and the head-to-head record shows Marsborne has won 4 of the 5 prior meetings. There's very little to argue against the favourite read.Why 75Career rate, recent form, market consensus, and head-to-head all align on Marsborne. The 75 confidence reflects the complete data stack while honestly weighting Bo3 single-session variance — Chicken Coop have taken one prior match-up, so a fully one-sided 80+ pick isn't justified.

Wrong: Marsborne 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.