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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 23 May 2026
KSM
vs
TMVG

Round 7: KSM vs TMVG — Prediction & Match Analysis

KUUSAMO.gg get the comfortable lean against TOOMUCHVIDEOGAMES in this Elisa Open Suomi Round 7 Bo3, with Thunderpick at 1.63 — implying ~61% market-true win rate. The deciding signal: osku at 1.18 rating is the highest individual in the matchup by a wide margin. TMVG's ZOREE (1.08) is the only comparable rated individual.The structural readsBoth teams sit on below-replacement career rates — KSM 31.58% (24-52 on 76 matches), TMVG 34.85% (23-43 on 66 matches). KSM are 4W-6L recent, TMVG 5W-5L. The recent-form gap marginally favours TMVG, but osku's individual ceiling is the structural tiebreaker that books are weighting.The 62 confidenceGenuine matchup tightness. TMVG could absolutely take maps if ZOREE has a hot Bo3. KSM's case rests on osku carrying the team through tight rounds — exactly the role he's filled all season. 62 backs the structural ceiling without overrating the deeper TMVG sample.

Correct: KUUSAMO.gg 62% conf.
AI FINISHED WRONG 23 May 2026
MANA
vs
Kinoa

Lower bracket quarterfinal 2: Kinoa vs MANA — Prediction & Match Analysis

Kinoa get the lean against MANA eSports in this European playoff Bo3 despite no betting market posted. The decisive signals: Kinoa's 8W-2L recent run, a 1-0 H2H vs MANA already on visible series log, and a perfect-trajectory tournament context.The MANA case is roster depthMANA bring Caleyy (1.11), deb0 (1.10), BledarD (1.08) — three rated fraggers above 1.08. Kinoa's visible roster shows v1ze at 1.00, h1glaiN at 0.99, kalyambys at 0.51 — far lower on paper. The structural roster comparison favours MANA decisively on individual ratings.Why Kinoa still get the lean8-2 form vs MANA's 4-6 plus the 1-0 H2H is the matchup-relevant evidence. Roster ratings on small samples can mislead, and Kinoa have been beating equivalent-tier opposition consistently throughout the tournament. The 60 confidence reflects honest contradiction between paper roster ratings and actual bracket results — the bracket result wins low-conviction decisions.

Wrong: Kinoa 60% conf.
AI FINISHED CORRECT 23 May 2026
LDP
vs
Keyd

Semifinal 2: LDP vs Keyd — Prediction & Match Analysis

largadosypelados get the lean against Keyd in this Brazilian semi-final, with Epicbet pricing LDP at 1.30 — implying 77% market-true win rate. The structural alignment for LDP is decisive: 10W-0L recent form (perfect last 10 matches), 65.29% career on 121 matches. The complication: Keyd are 2-0 in the H2H across visible series.The Keyd matchup caseKeyd's rated trio — t9rnay (1.12), lash (1.11), b4rtiN (1.08) — marginally outranks LDP's pancc (1.11), desh (1.10), realz1n (1.07). Combined with the 2-0 H2H, Keyd have a real Bo3 win blueprint on file. Their 7W-3L recent form is also strong (though trailing LDP's perfect 10-0).Why 60 not higherLDP's 10-0 recent run is dominant, but it's been against different opposition than Keyd — and the H2H pattern is the matchup-relevant signal. Books pricing LDP at 1.30 reflects the form weight; the 60 confidence reflects backing the favourite while honestly acknowledging the 2-0 H2H Keyd carry into the Bo3.

Correct: largadosypelados 60% conf.
AI FINISHED CORRECT 23 May 2026
BHE
vs
YAW

Quarterfinal 1: BHE vs YAW — Prediction & Match Analysis

Bounty Hunters Esports get the comfortable lean against Yawara Esports in this Brazilian quarter-final, with both books pricing BHE at 1.62. The decisive signal: BHE are 6-2 in the head-to-head across visible series. Both teams come in 6W-4L recent — form is tied. The matchup pattern is the tiebreaker.The roster comparisonBHE bring KAISER (1.08), pepe (1.07), zock (1.06). Yawara counter with r3kt (1.07), teleD (1.07), card (1.04). Comparable depth, slight BHE edge on rating ceiling but nothing decisive. Career rates favour BHE (52.42% vs 41.38%) on similar 269/261 match samples — the structural baseline is BHE's.The 70 confidenceThree structural signals aligned: H2H, market consensus, career rate. Bo3 variance and tied recent form keep the confidence honest — Yawara can take a map on the right veto. But going the distance against BHE's matchup history is a tall ask.

Correct: Bounty Hunters Esports 70% conf.
AI FINISHED WRONG 23 May 2026
SINQU
vs
BJNG

Round 7: SINQU vs BJNG — Prediction & Match Analysis

BOJONG get the lean against SINQU in this Elisa Open Suomi Round 7 Bo3. Books split close — Thunderpick has BOJONG at 1.55, Epicbet at 1.86 — but the structural signals all align. BOJONG are 1-0 in the H2H and bring ArtwOo at 1.09 (the highest visible individual rating) versus SINQU's three players all at or below 0.97.SINQU's structural problem0W-10L last 10 matches. 10.53% career winrate (2W-17L). No visible roster member above Samppa's 0.97. That's not a slump — it's a structural collapse. BOJONG's 6W-4L recent form is the comfortable comparison.Why 68 not 80BOJONG aren't dominant — 50% career on a tiny 12-match sample with Villeboe at 0.82 dragging the supporting fragging down. Bo3 variance is real. But every meaningful signal — H2H, recent form, individual top-end — points the same way. SINQU's last Bo3 wins came against equivalent-tier opposition that BOJONG have already beaten.

Wrong: BOJONG 68% conf.
AI FINISHED WRONG 23 May 2026
FAL
vs
LGC

Grand final: FAL vs LGC — Prediction & Match Analysis

Team Falcons are heavy favourites in the CS Asia Championships 2026 grand final against Legacy. Both books price Falcons at 1.22 with Legacy at 3.80-3.85 — implied 80% market-true win rate. The structural alignment is decisive: Kyousuke (1.31), m0NESY (1.28), NiKo (1.22) form a three-man rated trio above 1.22, and Falcons are 2-0 in the H2H against Legacy.The Legacy caseLegacy bring strong individual signals — dumau at 1.19 rating with the recent latto ace clutch against The MongolZ adding confidence. arT's high-tempo identity has produced an 8W-2L recent stretch (matching Falcons' own) and a 64.14% career rate on 290 matches that exceeds Falcons' 54.52% on 310. The H2H is real but recent — Legacy could absolutely flip the pattern with the Bo5 format on home turf.Why 80Bo5 format usually favours the side with deeper roster top-end, and Falcons own that comprehensively. karrigan's calling has stabilised the team's playoff conversion (PGL Astana runner-up, now CAC final). The 80 confidence factors honest Bo5 variance — Legacy can take maps, but going to a fifth map against this firepower under arena pressure is a steep ask.

Wrong: Team Falcons 80% conf.
AI FINISHED CORRECT 23 May 2026
MOUZ
vs
MIBR

3rd Place match: MOUZ vs MIBR — Prediction & Match Analysis

MOUZ get the comfortable lean in the CS Asia Championships 2026 third-place match against MIBR. Books align at 1.25-1.27 / 3.45-3.50. The decisive signals: MOUZ's 5-3 H2H, xelex's recent 2.53 Overpass performance and xertioN's elite tournament-long defensive form, plus a 7W-3L recent stretch slightly ahead of MIBR's 6W-4L.MIBR's case is insani's ceilinginsani just produced the highest single-map rating ever recorded at an HLTV MVP-level event — a 3.28 Ancient. kl1m has averaged 1.27 across the playoffs. That's a real two-player ceiling that can carry a Bo3. The structural counter: MIBR exited the bracket by losing to Falcons; MOUZ exited by losing to the same Falcons. Both come in tired.Why 70MOUZ have three 1.15+ fraggers (xelex 1.22, torzsi 1.16, Jimpphat 1.15) — comparable individual depth to insani-led MIBR but on a far deeper 747-match career sample. The H2H 5-3 advantage plus the marginal form edge plus market consensus stack on the same side. Bo3 closeout against an in-form insani is never automatic — but the data tilts MOUZ.

Correct: MOUZ 70% conf.
AI FINISHED CORRECT 23 May 2026
FDB
vs
GLS

Semifinal 1: FDB vs GLS — Prediction & Match Analysis

Galorys get the contrarian-but-data-backed lean against Fake do Biru in this Brazilian semi-final, with books pricing Galorys at 1.99-2.05 as the slight underdog. The decisive signal: Galorys are 3-0 in the H2H across visible series. The individual fragging gap is also real — K1not1 (1.22), gbb (1.14), tomate (1.12) is a top-end FDB can't match.The FDB caseFDB bring hardzao (1.11), detr0ittJ (1.11), Tuurtle (1.09) — balanced fragging trio but no individual at the K1not1 tier. 52.17% career on 69 matches is slightly above Galorys's 48.58% on 247 matches. Form is tied at 5W-5L. Books read FDB as the marginal favourite based on the trajectory; the H2H pattern argues the opposite.Why 653-0 in head-to-head series across the visible log is a real structural matchup edge — not noise. Combined with K1not1's individual ceiling, the case for Galorys is data-backed even against the market. The 65 confidence reflects backing the H2H pattern and the roster top-end while honestly weighting market disagreement.

Correct: Galorys 65% conf.
AI FINISHED WRONG 23 May 2026
TLR
vs
EAC

Quarterfinal 4: TLR vs EAC — Prediction & Match Analysis

The Last Resort hold a clear advantage over Esport Academy Copenhagen in this XP Game Fest 2026 Finals quarterfinal. TLR's 5W-5L recent record, while not impressive, is significantly better than EAC's 2W-5L record in their last 7 matches. EAC have lost five of their last seven matches, including defeats to ALGO Esports (twice), GenOne, Kinoa, and MAJIX ESPORTS — a run that suggests the team is struggling at this level.EAC's career stats are not available in the data, making it difficult to assess their long-term quality. TLR's career winrate of 48.5% is modest, but their roster average rating of 1.03 provides some individual quality. EAC's recent form is the primary concern — a 2W-5L run heading into a knockout match is a significant red flag.No odds are available for this match. Based on the available data, TLR's superior recent form and EAC's poor run of results make The Last Resort the pick. Confidence is kept at 62% given TLR's own inconsistency and the limited data on EAC's career stats.

Wrong: The Last Resort 62% conf.
AI FINISHED CORRECT 23 May 2026
G1
vs
MANA

G1 vs MANA — Prediction & Match Analysis

GenOne enter this Thunderpick World Championship 2026 EU Series 1 Group Stage match with better recent form (7W-3L vs MANA's 5W-5L) and a 1-0 head-to-head advantage. Their roster averages a 0.95 player rating compared to MANA's 0.93 — a marginal difference, but combined with the form edge, it supports GenOne as the pick.MANA eSports have been inconsistent, going 5W-5L in their last 10 matches. Their career winrate of 53.1% is slightly above GenOne's 52.6%, but the recent form gap is more telling. GenOne's 7W-3L run includes a 2-0 win over Esport Academy Copenhagen (EAC) on May 18, demonstrating their ability to close out matches cleanly.The odds at 1.46/2.52 imply a 68% win probability for GenOne, which aligns with the data. The market and the statistics agree: GenOne's superior recent form and H2H edge make them the pick, though the modest rating difference keeps confidence from being high.

Correct: GenOne 62% conf.
AI FINISHED CORRECT 23 May 2026
BIG.A
vs
BERG

BIG.A vs BERG — Prediction & Match Analysis

BIG Academy arrive at this DACH CS Masters Season 5 match in extraordinary form — a perfect 10W-0L record in their last 10 matches, with a 16-1 map record in the regular season according to Liquipedia. This is the standout form statistic of any team in today's predictions. Their roster averages a 1.01 player rating, and the team has been dominant throughout the DACH CS Masters Season 5 regular season, going 8-0 in the round-robin stage.Esport BERG have also been solid with a 7W-3L recent record and a career winrate of 60.0% — actually higher than BIG Academy's 55.6%. However, BIG Academy's current momentum is exceptional, and their unbeaten run in this specific tournament context is a powerful indicator. There is no head-to-head history between these sides and no odds available.The 10W-0L run is the decisive factor here. While BERG's career winrate is higher, BIG Academy's current form in this tournament is dominant. This is the highest-confidence pick of the day based on available data.

Correct: BIG Academy 70% conf.
AI CANCELED 23 May 2026
MANA
vs
ALGO

Upper bracket semifinal 1: MANA vs ALGO — Prediction & Match Analysis

ALGO Esports enter this United21 upper bracket semifinal with better recent form (7W-3L vs MANA's 5W-5L) and a significantly higher roster average rating of 1.05 compared to MANA's 0.93. The individual skill gap is notable — MANA's roster average is below the competitive threshold, while ALGO's players are performing at a solid level across the board.MANA hold a 1-0 head-to-head advantage over ALGO and are listed as slight favourites at 1.46 odds (implied 68% win probability). However, the odds appear to overvalue MANA's H2H edge given the form and rating disparities. ALGO's 7W-3L record in their last 10 matches, combined with their superior player ratings, suggests they are the stronger team on current evidence.This is a close match where the H2H and odds favour MANA, but the statistical data points to ALGO. Confidence is kept modest at 58% to reflect the genuine uncertainty. ALGO's form edge and rating advantage are the deciding factors in this pick.

Predicted: ALGO Esports 58% 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.