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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 WRONG 23 Jun 2026
SHK
vs
EF

Upper bracket quarterfinal 4: SHK vs EF — Prediction & Match Analysis

Eternal Fire enter this Super DraculaN Season 1 upper bracket quarterfinal in significantly better form than Sharks, posting a 7W-3L record in their last 10 matches compared to Sharks' alarming 3W-7L run. EF's recent wins include Bo3 victories over Betclic Apogee Esports and fnatic, demonstrating they can beat quality opposition. Sharks, meanwhile, have dropped matches to TYLOO, Lynn Vision, M80, FaZe, and NIP in recent weeks — a concerning slide heading into an offline LAN event.Statistically, Eternal Fire hold the edge in average player rating: their active roster averages 1.07 across key players, led by Woro2k (1.18 rating, 1.20 K/D) and regali (1.16 rating, 1.27 K/D). Sharks' roster averages 1.01, with doc (1.18) and koala (1.14) as their standouts but a significant drop-off below the top two. EF's depth is superior — five players rated 1.07 or above versus Sharks' two. The head-to-head record also favors EF (1-0), though it dates to 2021.The betting market at 1.58/2.20 (Thunderpick) implies roughly a 63% probability for Sharks, which appears to overvalue the Brazilian side given their current form collapse. EF's 7W-3L run, superior roster depth, and better individual stats make them the value pick at 2.20. This is a clear statistical advantage for Eternal Fire in a Bo3 format where consistency matters.

Wrong: Eternal Fire 68% conf.
AI FINISHED CORRECT 22 Jun 2026
SASHI
vs
9INE

Upper bracket quarterfinal 2: SASHI vs 9INE — Prediction & Match Analysis

Sashi Esport enter this Super DraculaN Season 1 upper bracket quarterfinal as clear favorites based on current form and roster stability. Sashi sit at 5W-5L in their last 10 matches with an average player rating of 1.08, led by Zyphon (1.11 rating, 77.4 ADR) and acoR (1.10 rating, 1.13 K/D). The Danish squad holds a world ranking of #64 on HLTV as of June 2026, reflecting their standing as a legitimate tier-2 European team. Their career record of 317W-305L (50.96% WR) shows consistent long-term competitiveness.9INE, meanwhile, are in crisis. Their 2W-8L record in the last 10 matches (20% win rate) is alarming, and web research confirms significant roster instability throughout 2026 — including the benching of cej0t and bnox, and the signing of rim3 from Eternal Fire as recently as June 16. The current lineup of raalz, kraghen, Flayy, and rim3 is essentially a rebuilt roster with limited time to develop chemistry. Despite 9INE's career record of 54.09% (324W-275L) and HLTV ranking of #80, their current form and roster disruption are major red flags.The H2H record is 4-4 all time, with 9INE winning 3 of the last 4 meetings — including a 0-1 Bo1 loss for Sashi in February 2026. However, those results came with a different 9INE roster. The current 9INE lineup has not been tested together, while Sashi have maintained stability. The betting market prices Sashi at 1.48–1.50 (implied ~67%), which aligns with the form and stability advantage. Sashi are the pick, though 9INE's historical H2H edge and individual talent (Izzy 1.17, mantuu 1.14) keep this from being a high-confidence call.

Correct: Sashi Esport 65% conf.
AI FINISHED WRONG 22 Jun 2026
INF
vs
EAC

Upper bracket quarterfinal 3: INF vs EAC — Prediction & Match Analysis

Infinite face Esport Academy Copenhagen in a Super DraculaN Season 1 upper bracket quarterfinal. Infinite carry a 5W-5L record in their last 10 matches, including a recent 2-0 win over INOX Division on June 21 — their most recent result. Their top-5 roster average rating of 1.07 (sl3nd 1.15, Blytz 1.10, Dytor 1.08) gives them a statistical edge over EAC's 1.05 average. Infinite also beat Virtus.pro 2-1 on June 14, showing they can compete against established names.Esport Academy Copenhagen sit at 4W-6L in recent form, with losses to KOLESIE (0-2), Alliance (0-2), and Metizport (1-2) in their last 10. Their roster shows solid individual ratings — anber leads at 1.08, N1XEN at 1.07 — but the team's career stats are unavailable, limiting deeper analysis. EAC's KAST figures (average ~71.1%) are comparable to Infinite's top-5 average of 71.3%, making this a close matchup on consistency metrics. No head-to-head history exists between these teams.This is a close match with limited data on EAC's career history. Infinite's slight form edge (5W-5L vs 4W-6L), marginally higher player ratings, and recent momentum from their June 21 win give them a narrow advantage. The absence of H2H data and EAC's unknown career record keep confidence modest. Infinite are the pick, but this could easily go either way.

Wrong: Infinite 60% conf.
AI FINISHED CORRECT 22 Jun 2026
ICE
vs
AM

Upper bracket quarterfinal 3: ICE vs AM — Prediction & Match Analysis

Inner Circle Esports are heavy favorites heading into this Super DraculaN Season 1 upper bracket quarterfinal, and the data supports the market's assessment. ICE carry a 6W-4L record in their last 10 matches, compared to AM Gaming's 4W-6L. More importantly, ICE's average player rating of 1.09 edges AM Gaming's 1.06, with Dawy leading at 1.19 rating and 82.73 ADR — the highest individual output in this matchup. headtr1ck (1.14 rating, 74.49% KAST) provides elite secondary support, giving ICE a formidable top-two punch.AM Gaming are not without weapons: syrsoN leads at 1.14 rating with an impressive 1.20 K/D ratio, and Marix (1.09) and kyuubii (1.08) provide solid depth. However, AM's team KAST of 70.5% falls short of ICE's 72.6%, and their recent form dip (4W-6L) is a concern. The one H2H meeting between these teams went to ICE (2-1 on August 31, 2025), though that result is now nearly a year old. ICE participated in PGL Bucharest 2026 (12th-14th place) and BC.Game Masters Championship #2 (3rd place), showing they can compete at higher tiers.The betting market prices ICE at 1.31–1.32 (implied ~76% probability), which aligns with the statistical edge. ICE's superior form, higher team ratings, and better KAST make them the clear pick. AM Gaming's individual talent keeps this from being a certainty, but ICE should advance.

Correct: Inner Circle Esports 68% conf.
AI CANCELED 22 Jun 2026
CLS
vs
ME

Decider match: CLS vs ME — Prediction & Match Analysis

Despite Coalesce's stronger career record (54.95% WR, 111W-91L) and a 1-0 H2H advantage from June 15, the statistical picture strongly favors Millennium Esports in this United21 Season 51 decider. Millennium's average player rating of 1.09 dwarfs Coalesce's 0.87 — a gap of 0.22 rating points that is substantial at this level. Millennium's star player chujoi leads with an exceptional 1.24 rating and 78.13% KAST, making him one of the most impactful players in this matchup. Coalesce's best performers BehinDx (1.05) and Maza (1.01) are solid but outgunned.Coalesce's recent form is concerning: 3W-7L in their last 10 matches, with three players (TIMMO, f0cus, Flicky) all rated below 0.90. Their team average ADR of 62.1 is notably lower than Millennium's 69.9, suggesting Coalesce are losing the fragging battle consistently. Millennium's 5W-5L recent form is more balanced, and their KAST average of 71.7% significantly outpaces Coalesce's 65.3% — indicating Millennium players are making more impactful rounds.Coalesce's one H2H win (2-1 on June 15) shows they can compete, but the statistical gap is too large to ignore. Millennium's superior individual ratings, ADR, and KAST across the board make them the clear pick in this Bo3 decider. Coalesce would need a significant performance uplift to overcome these numbers.

Predicted: Millennium Esports 65% conf.
AI FINISHED CORRECT 22 Jun 2026
MIBR.A
vs
MW

Elimination match: MIBR.A vs MW — Prediction & Match Analysis

MIBR Academy face METANOIA WOLVES in a Gamers Club Liga Série A elimination match with a clear head-to-head advantage. MIBR Academy have beaten METANOIA WOLVES in both previous meetings in 2026 — a 2-0 on June 2 and a 2-0 on March 31 — both dominant scorelines suggesting MIBR.A have a strong read on their opponents' playstyle. Despite MIBR.A's recent form dip (4W-6L), their H2H record and superior career winrate (48.77% vs METANOIA's 37.5%) support their status as favorites.Statistically, METANOIA WOLVES hold a slight edge in current player ratings: their team average of 0.98 edges MIBR.A's 0.96. METANOIA's lcs leads at 1.06 rating with 71.82 ADR, while MIBR.A's best performer Jerr1 rates 1.03. However, MIBR.A's KAST average of 68.3% is comparable to METANOIA's 67.6%, and the H2H data suggests MIBR.A execute better in direct matchups. The betting market prices MIBR.A at 1.53–1.55 (implied ~65% probability), reflecting the H2H and career record advantage.This is a close match on paper, but MIBR Academy's 2-0 H2H record against METANOIA WOLVES — both in convincing fashion — is the decisive factor. In an elimination match, psychological edge matters, and MIBR.A have demonstrated they can handle this opponent. The slight statistical disadvantage is outweighed by the H2H dominance.

Correct: MIBR Academy 62% conf.
AI FINISHED CORRECT 22 Jun 2026
LILMIX
vs
RT

Elimination match: LILMIX vs RT — Prediction & Match Analysis

This Svenska CS-Ligan elimination match presents a clear form divergence. Lilmix have been in freefall with a 1W-9L record in their last 10 matches — a 10% win rate that is alarming regardless of opponent quality. ReThink, by contrast, sit at a balanced 5W-5L, showing they can compete and win at this level. Despite Lilmix's stronger career record (338W-414L, 44.95% WR vs ReThink's 11W-20L, 35.48% WR), recent form is the more relevant indicator for a single-series elimination match.Statistically, the teams are very close. ReThink's average player rating of 0.99 edges Lilmix's 0.98, with Rack leading at 1.09 rating and 78.52 ADR. Lilmix's best performer PlesseN rates 1.07 with 79.07 ADR. Both teams have similar KAST averages (ReThink 68.9% vs Lilmix 67.6%), and ADR figures are comparable. There is no head-to-head history between these teams. The betting market prices Lilmix at 1.73 (implied ~58%) and ReThink at 1.94 (implied ~52%), slightly favoring Lilmix — but this appears to be based on historical reputation rather than current form.In an elimination match where momentum matters, Lilmix's catastrophic recent run (1W-9L) is a major red flag. ReThink's 5W-5L form, combined with marginally better player ratings and KAST, makes them the value pick here. The market undervalues ReThink's current form advantage.

Correct: ReThink 62% conf.
AI FINISHED CORRECT 22 Jun 2026
KSM
vs
PSN.A

Elimination match: KSM vs PSN.A — Prediction & Match Analysis

KUUSAMO.gg enter this United21 Season 51 elimination match with a 5W-5L record in their last 10 matches, while Passion Academy have struggled with a 3W-7L run. KUUSAMO's star player osku leads the team with a 1.18 rating and 75.13 ADR, providing a clear individual edge. The team's average rating of 0.99 is modest but functional, with jalwar (1.02), Rbm (1.01), and Orava (0.96) providing support. Notably, KUUSAMO replaced Orava with Matz on June 15 ahead of this tournament, which may introduce some lineup uncertainty.Passion Academy's player statistics are unavailable in the database, making a direct statistical comparison impossible. Their 3W-7L recent form, however, paints a picture of a team struggling for consistency. The betting market reflects this assessment, with KUUSAMO priced at 1.62–1.66 (implied ~60-62% probability) across Thunderpick and Epicbet. No head-to-head history exists between these two teams.With limited data on Passion Academy and KUUSAMO's modest but measurable statistical profile, this is a moderate-confidence pick. KUUSAMO's better recent form and available player data give them the edge, but the lack of opponent stats and KUUSAMO's own inconsistent career record (31.58% winrate) keep confidence from going higher.

Correct: KUUSAMO.gg 60% conf.
AI FINISHED CORRECT 22 Jun 2026
WAL
vs
KOL

Grand final: WAL vs KOL — Prediction & Match Analysis

Walczaki enter this European Pro League Grand Final as the form team, carrying a 7W-3L record in their last 10 matches. Their average player rating of 1.08 edges out KOLESIE's 1.07, with star fragger reiko leading at 1.16 rating and 84.44 ADR. The team's KAST average of 71.1% reflects solid consistency across the squad. KOLESIE, meanwhile, sit at 6W-4L in recent form — respectable, but a step behind their opponents heading into this Bo5 decider.Head-to-head history strongly favors Walczaki, who have won both previous meetings against KOLESIE in 2026 — a 2-1 on June 4 and a 2-1 on April 29. Both were competitive series, suggesting KOLESIE can push maps, but Walczaki have consistently found ways to close out. KOLESIE's career winrate of 63.38% (45W-26L) shows they are a capable team, but their recent form dip and H2H deficit are concerning in a Grand Final context.In a Bo5 format, depth and consistency matter more than in shorter series. Walczaki's balanced roster — with five players all rated between 1.07 and 1.16 — gives them an edge in extended play. KOLESIE's roster is similarly balanced (1.04–1.11 range), but Walczaki's slight statistical edge and H2H dominance make them the pick here. Expect a competitive series, but Walczaki to take it.

Correct: Walczaki 63% conf.
AI FINISHED CORRECT 17 Jun 2026
FOKUS
vs
Noir Verse

Round of 16 match 1: FOKUS vs Noir Verse — Prediction & Match Analysis

FOKUS get a very high-confidence lock-pick lean. Thunderpick 1.05 / 7.23 — implies ~95% true win probability. FOKUS 61.11% on 36 vs Noir Verse zero visible career. NV 7-3 form is respectable but the structural gap is enormous.Why 80Extreme market lean + career baseline + Major-stakes scouting data. Bo3 variance only modest counter-signal.

Correct: FOKUS 80% conf.
AI FINISHED CORRECT 17 Jun 2026
SASHI
vs
KOL

Quarterfinal 3: SASHI vs KOL — Prediction & Match Analysis

KOLESIE get a stacked lean. 1-0 H2H, 7-3 vs 6-4 form, KOLESIE 63.38% career on 71 vs Sashi 50.96% on 622. Thunderpick 1.72 KOLESIE / 2.00 Sashi.The Sashi case is sample depthSashi's 622-match career sample is enormous — nearly 9x deeper than KOLESIE. But the rate and form gaps favour KOLESIE.Why 70Form, H2H, market consensus, career rate all align on KOLESIE. Sashi's depth provides counter-signal.

Correct: KOLESIE 70% 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.