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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 4 Jun 2026
GL
vs
BIG

Round 4: GL vs BIG — Prediction & Match Analysis

This IEM Cologne Major 2026 Stage 1 advancement match pits two 2-1 teams against each other, with BIG holding the stronger statistical profile despite GamerLegion being the slight betting favorite. BIG's top-5 roster averages a 1.166 rating (blameF 1.24, gr1ks 1.21, faveN 1.13, Krimbo 1.13, JDC 1.12) compared to GamerLegion's 1.10 (PR 1.13, Kursy 1.12, REZ 1.10, Hypex 1.09, Tauson 1.06). BIG's career winrate of 56.63% also exceeds GamerLegion's 52.17% over a larger sample.The head-to-head record favors BIG 5-3 overall, though GamerLegion took the most recent Bo3 meeting in August 2025 (2-1). In this tournament, GamerLegion started 2-0 before falling 0-2 to BetBoom in Round 3, while BIG lost to Liquid in Round 1 before winning their next two. BIG's home crowd advantage in Cologne and blameF's elite 1.24 rating with 84.96 ADR make them a dangerous opponent. GamerLegion's recent form (7W-3L) is impressive, including a run to the IEM Atlanta 2026 grand final.The odds (GL 1.58-1.69, BIG 2.08-2.21) suggest the market slightly favors GamerLegion, but BIG's superior individual player ratings and H2H record in Bo3 formats give us reason to lean the other way. This is a close match — we pick BIG based on their statistical edge, but acknowledge GamerLegion's strong recent form makes this a genuine coin flip.

Wrong: BIG 60% conf.
AI FINISHED CORRECT 4 Jun 2026
TdU
vs
FLY

Round 4: TdU vs FLY — Prediction & Match Analysis

FlyQuest enter this IEM Cologne Major 2026 elimination Bo3 as the market favorite (1.26-1.34 odds, ~77% implied probability) and the statistical edge supports that assessment. FlyQuest's top-5 roster averages a 1.166 rating (nettik 1.24, INS 1.22, Vexite 1.16, story 1.11, jks 1.10) compared to THUNDER dOWNUNDER's 1.124 (asap 1.22, aliStair 1.16, Liazz 1.09, dexter 1.08, TjP 1.07). FlyQuest also carry a higher career winrate of 59.85% versus TdU's 87.18% — though TdU's career record is based on a much smaller sample (39 total maps vs FlyQuest's 137).Both teams share identical 5W-5L recent form and there is no head-to-head history between them, making this a close call on paper. However, FlyQuest's tournament path shows they beat SINNERS in Round 1 before falling to GamerLegion and NRG — both top-tier opponents. THUNDER dOWNUNDER's notable result was upsetting MIBR in Round 1, but they subsequently lost to B8 and BIG. FlyQuest's losses came against stronger opposition, suggesting a higher ceiling.The odds gap (FlyQuest at 1.26-1.34 vs TdU at 2.96-3.50) is wider than the data strictly justifies, but FlyQuest's slightly superior player ratings and more established international pedigree give them the edge in a Bo3 format. We lean FlyQuest, though TdU's upset potential — demonstrated against MIBR — keeps confidence moderate.

Correct: FlyQuest 60% conf.
AI FINISHED CORRECT 4 Jun 2026
TYLOO
vs
SHK

Round 4: TYLOO vs SHK — Prediction & Match Analysis

TYLOO enter this IEM Cologne Major 2026 Stage 1 elimination Bo3 with a slight statistical edge over Sharks. TYLOO's roster boasts a stronger average player rating across their top five players (1.174 average: JamYoung 1.21, zero 1.20, Moseyuh 1.16, SLOWLY 1.15, Mercury 1.15) compared to Sharks' top five (1.13 average: doc 1.18, koala 1.14, rdnzao 1.13, maxxkor 1.12, Gafolo 1.08). TYLOO's career winrate of 62.64% also edges out Sharks' 61.04% across a comparable sample size.Recent form slightly favors TYLOO (5W-5L) over Sharks (4W-6L in last 10). Critically, TYLOO bounced back with a 2-0 win over SINNERS in Round 3, while Sharks dropped their Round 3 match to Lynn Vision. The head-to-head record also leans TYLOO's way at 2-1, with their most recent meeting in April 2024 ending in a 2-0 TYLOO victory. Sharks' lone H2H win dates back to 2018.The betting market agrees: TYLOO are priced at 1.49-1.51 (implied ~66% probability) versus Sharks at 2.42-2.43. Given TYLOO's superior player ratings, better recent form, and H2H advantage, we align with the market and back TYLOO to advance. This is a Bo3 where TYLOO's depth and consistency should prevail, though Sharks' upset of Heroic in Round 1 shows they can compete on any given day.

Correct: TYLOO 63% conf.
AI FINISHED CORRECT 3 Jun 2026
QUA
vs
FAL.F

Upper bracket quarterfinal 4: QUA vs FAL.F — Prediction & Match Analysis

QUAZAR get a clean structurally-stacked lean in the ESEA Advanced Europe Season 57 quarter-final Bo3 against Falcons Force. Every visible metric aligns on the same side: 50.72% career rate on 209 matches vs Falcons Force's 45.45% on 55, 6W-4L recent form vs Falcons Force's 3W-7L, a 1-0 head-to-head record, and a Thunderpick line of 1.47 / 2.49.The Falcons Force caseFalcons Force benefit from the Falcons organisational structure but the academy roster's recent form (3W-7L) is the genuine cold patch. The career rate gap isn't enormous (5 points), but combined with the form gap and the prior matchup loss, there's no metric pointing toward an upset case.Why 70Career rate, recent form, head-to-head, and market consensus all stack on QUAZAR. The 70 confidence reflects the data stack while honestly weighting the Tier 1 Falcons academy infrastructure that could produce a sudden form turnaround.

Correct: QUAZAR 70% conf.
AI FINISHED CORRECT 3 Jun 2026
BCA
vs
ASTR

Round 1: BCA vs ASTR — Prediction & Match Analysis

Betclic Apogee Esports get a market-aligned contrarian-form lean in the NODWIN Clutch Series Season 9 Bo3 against ASTRAL, despite trailing on every recent-form axis. The structural case rests on sample depth and book signal: 51.22% career rate on 205 matches vs ASTRAL's 47.83% on 69, plus a Thunderpick line of 1.50 / 2.40 backing Betclic Apogee.The ASTRAL case is the form and H2HASTRAL come in at 5W-5L vs Betclic Apogee's 3W-7L — a 20-point form winrate edge. They also hold a 1-0 head-to-head record, which prevents Betclic Apogee from claiming a clean matchup advantage. The case for ASTRAL is the cleaner trajectory, the prior matchup win, and the underdog price.Why 65Book consensus plus career baseline outweigh ASTRAL's form line and H2H edge, but only narrowly. The 65 confidence reflects the honest tension — the market sees something in Betclic Apogee's structural shape that the recent form line doesn't capture, and 205 matches at 51% is a real baseline.

Correct: Betclic Apogee Esports 65% conf.
AI FINISHED WRONG 3 Jun 2026
paiN.A
vs
ALKA

Quarterfinal 3: paiN.A vs ALKA — Prediction & Match Analysis

ALKA GAMING get a low-confidence form-and-H2H lean in the Gamers Club Liga Série A May 2026 quarter-final Bo3 against paiN Academy. The structural case rests on the recent edge and matchup history: 7W-3L recent form vs paiN Academy's 6W-4L, and a 1-0 head-to-head record. Thunderpick prices the match nearly even at 1.78 / 1.93.The paiN Academy case is sample depthpaiN Academy carry 262 career matches at 51.15% — a 16x deeper sample than ALKA's 16. That's a meaningful structural advantage in Bo3 closeout scenarios where experience under pressure matters. The 6W-4L recent form is decent in isolation and the career rate is slightly above ALKA's 43.75%.Why 60This is essentially a coin flip with ALKA's narrow form edge and prior matchup win as the only tiebreakers. Market consensus is split (1.93/1.78). Backing the form-and-H2H side at minimum confidence reflects the honest tension between trajectory and sample depth.

Wrong: ALKA GAMING 60% conf.
AI FINISHED CORRECT 3 Jun 2026
VEXA
vs
LDP

Quarterfinal 4: VEXA vs LDP — Prediction & Match Analysis

largadosypelados get a very high-confidence lock-pick lean in the Gamers Club Liga Série A quarter-final Bo3 against Vexa. The book signal is extreme: Epicbet prices largadosypelados at 1.06 vs Vexa's 7.00, implying roughly 94% true win probability. The structural data agrees on every axis.The complete data stackCareer rate: largadosypelados 65.29% (79-42) vs Vexa 11.76% (2-15)Recent form: largadosypelados 7W-3L vs Vexa 5W-5LHead-to-head: largadosypelados 1-0Market: 1.06 / 7.00 — ~94% impliedThat's a 53-point career rate gap, a two-game form edge, a winning H2H record, and the most extreme market lean in the entire day's slate.Why 82The data is one-sidedly decisive. The only reason the confidence isn't above 85 is that a single Bo3 in a Brazilian league always carries one-map variance — Vexa taking one map at a 7.00 price is genuinely plausible even if a series win isn't.

Correct: largadosypelados 82% conf.
AI FINISHED CORRECT 3 Jun 2026
NEW VISION
vs
FF

Upper bracket quarterfinal 1: NEW VISION vs FF — Prediction & Match Analysis

Fire Flux Esports get a market-and-baseline lean in the ESEA Advanced Europe Season 57 Bo3 against NEW VISION. The structural case rests on sample depth and career rate: Fire Flux 58.62% on 232 matches vs NEW VISION's zero visible career sample. Thunderpick prices Fire Flux at 1.72 / 2.00 — a measured favourite read that respects NEW VISION's recent 7W-3L form.The NEW VISION caseNEW VISION come in with no visible career history but a hot 7W-3L recent form line. That's the classic unknown-roster-with-momentum profile — books and pre-event scouting often under-rate sides that haven't accumulated enough public sample. The form line is a real signal; the absence of any structural baseline is the matching concern.Why 65Sample depth and market consensus stack on Fire Flux, with NEW VISION's recent form tempering the read. The 65 confidence reflects honest weighting of an unknown-trajectory opponent — Bo3 variance against a 70% form side is real even with a 232-match career edge.

Correct: Fire Flux Esports 65% conf.
AI FINISHED WRONG 3 Jun 2026
B8.A
vs
RT

Upper bracket quarterfinal 3: B8.A vs RT — Prediction & Match Analysis

B8 Academy get a clean market-and-form lean in the ESEA Advanced Europe Season 57 Bo3 against ReThink. Every visible metric aligns on the same side: 46.67% career rate on 45 matches vs ReThink's 35.48% on 31, 8W-2L recent form vs ReThink's 5W-5L, and a Thunderpick line of 1.34 / 2.98 confirming the consensus.The ReThink caseReThink bring a 5W-5L recent form line that's respectable in isolation but trails B8 Academy's 8W-2L by a wide margin. The career rate gap (11 points) is meaningful, the career sample favours B8 Academy (45 vs 31), and no head-to-head data exists to ground any matchup-specific upset pattern.Why 72Career rate, recent form, and market consensus all stack on B8 Academy. The 72 confidence reflects the data stack while honestly weighting Bo3 variance — both rosters operate at the same tier and a single bad map can flip the series.

Wrong: B8 Academy 72% conf.
AI FINISHED CORRECT 3 Jun 2026
TDK
vs
Atreides

Round 1: TDK vs Atreides — Prediction & Match Analysis

TDK get a high-confidence stacked lean in the NODWIN Clutch Series Season 9 Bo3 against Atreides. Every visible metric aligns on the same side: 80.95% career rate on 42 matches vs Atreides' 56.25% on 16, a 1-0 head-to-head record, and a Thunderpick line of 1.20 / 4.00 — implying roughly 83% true win probability.The Atreides case is the form lineAtreides bring an 8W-2L recent form line — one win ahead of TDK's 7W-3L, and a real momentum signal. The career sample (16 matches) is too small to fully discount TDK's 80.95% baseline though, and the 1-0 head-to-head means Atreides have never beaten TDK in any documented match.Why 76Career rate, market consensus and prior matchup all decisively stack on TDK. The 76 confidence reflects the complete data stack while honestly weighting Atreides' hotter recent form — Bo3s against teams on 80%+ form lines always carry one-map variance risk.

Correct: TDK 76% conf.
AI FINISHED WRONG 3 Jun 2026
HS
vs
Atreides

HS vs Atreides — Prediction & Match Analysis

Atreides get a market-and-form lean in the CCT Europe Closed Qualifier Series 4 Bo3 against HyperSpirit. The case is trajectory-driven: Atreides 8W-2L recent form vs HyperSpirit's 3W-7L, a 50-point form winrate gap, and a Thunderpick line of 1.30 / 3.20 confirming the book consensus despite HyperSpirit's deeper career sample.The HyperSpirit case is sample depthHyperSpirit's 208-match career sample (48.56% rate) is more than 10x deeper than Atreides' 16. That's a real baseline signal — but the recent 3W-7L form is the cold patch, and there's no head-to-head data to ground any historical pattern. Atreides' hotter trajectory is winning the structural read despite the depth gap.Why 72Form gap of 50 points plus market consensus stack on Atreides. The 72 confidence is held below 80 because HyperSpirit's career sample depth is too large to fully discount — Bo3 single-session variance against a 208-match opponent can produce upsets.

Wrong: Atreides 72% conf.
AI FINISHED WRONG 3 Jun 2026
HERO.A
vs
TNC

HERO.A vs TNC — Prediction & Match Analysis

TNC get a high-confidence stacked lean in the CCT Europe Closed Qualifier Series 4 Bo3 against HEROIC Academy. Every visible metric aligns the same way: 2-0 head-to-head record, 6W-4L recent form vs HEROIC Academy's 2W-8L, a 52.38% career rate slightly ahead of HEROIC Academy's 43.75%, and a Thunderpick line of 1.26 / 3.40 implying ~79% true win probability.The HEROIC Academy caseHEROIC Academy bring Tier 1 organisational backing, professional coaching infrastructure, and scrim partners that should structurally exceed TNC's resources. None of that translates to scoreboard against an opponent with a winning H2H pattern, hotter recent form and a higher career rate. 2W-8L is the kind of cold form line that rarely flips inside a single Bo3.Why 76Career rate, recent form, head-to-head, and market consensus all stack on TNC. The 76 confidence reflects the complete data stack — backing the structural read without overextending into 80+ territory because Tier 1 academy backing can produce sudden form turnarounds even from a 2-8 baseline.

Wrong: TNC 76% 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.