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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 CANCELED 25 May 2026
ENJOY
vs
DRIP

Upper bracket quarterfinal 1: ENJOY vs DRIP — Prediction & Match Analysis

ENJOY get a clean structurally-stacked lean in the CCT Europe Challengers Series Season 3 playoff Bo3 against Dripmen. Every visible metric aligns the same way: 59.46% career rate vs 40.79%, 6W-4L recent form vs 5W-5L, and an Epicbet line of 1.30 / 3.20 backing ENJOY decisively.The Dripmen caseDripmen have the deeper career sample (76 matches vs ENJOY's 37) but the rate is meaningfully worse — 40.79% across 31-45 simply doesn't compete with ENJOY's 22-15 ceiling. The 5W-5L form line is fine in isolation but trails the opponent on every other axis.Why 69Career rate, recent form, and market lean all align on ENJOY. The confidence is held below 75 because ENJOY's career sample is small (37) and a Bo3 against a side with more match-day reps can produce one-map upsets. The structural read is clear, but Bo3 closeout in CCT playoff format always carries honest variance.

Predicted: ENJOY 69% conf.
AI FINISHED CORRECT 25 May 2026
K27
vs
PF

K27 vs PF — Prediction & Match Analysis

K27 get the lean in the CIS LAN Championship Season 5 Group C Bo3 against PsychoFace. The case is built almost entirely on sample depth: K27 hold a 65.89% career winrate across 302 matches (199-103) while PsychoFace effectively have no visible career history. Both sides are 3W-7L over the last 10, which removes recent-form as a tiebreaker.The PsychoFace casePsychoFace come into the match with no head-to-head, no career sample, and no public market line — which is itself a data point: the absence of a price suggests the books are unsure of the matchup. Recent CIS-circuit results (including a 2-0 over TNC) show the roster can absolutely win on a given day. Unknown rosters in Bo3 settings routinely cause upsets, and the 3-7 form line for K27 means the favourite is not in peak shape either.Why 60This is honestly close to a coin flip with the data visible. K27's 199-103 career record across the deepest visible sample is the only real differentiator. The 60 confidence reflects backing the experience baseline while honestly weighting the unknown-roster risk and the absence of a market consensus to lean on.

Correct: K27 60% conf.
AI FINISHED CORRECT 25 May 2026
TNC
vs
ex-Zero Tenacity

TNC vs ex-Zero Tenacity — Prediction & Match Analysis

ex-Zero Tenacity get the contrarian-form lean in the Thunderpick World Championship European Series #1 Group C Bo3 against TNC, despite a noticeably weaker career baseline. The structural case rests on the recent form gap: ex-Zero Tenacity 5W-5L vs TNC's 3W-7L, plus a Thunderpick line that prices ex-Zero Tenacity as the favourite at 1.65 / 2.10 — a market read that runs against the career numbers.The TNC case is the career baselineTNC hold a 52.38% career rate (22-20) against ex-Zero Tenacity's 39.62% (21-32) — a 12-point gap that usually matters. But both sides carry small career samples (~40-50 matches), which limits the predictive weight of those career numbers compared to the cleaner, more recent 10-match windows.Why 60This is a low-confidence pick. The market sees something in ex-Zero Tenacity's recent shape that the career numbers don't capture — likely the cleaner 5-5 form line and a TNC side coming off three Bo3 losses in their last four matches. Backing the market with the recent-form support, but at 60 to honestly reflect TNC's career-baseline counter.

Correct: ex-Zero Tenacity 60% conf.
AI CANCELED 25 May 2026
VRSDelivery
vs
RE

VRSDelivery vs RE — Prediction & Match Analysis

VRSDelivery get the cautious favourite-side lean in the Thunderpick World Championship European Series #1 Group D Bo3 against Rune Eaters. The case is anchored almost entirely on the market signal: VRSDelivery priced at 1.65 / 2.10 by Thunderpick despite having no visible career sample. That is a deliberate scouting read by the book — usually a tell that the roster has private practice data the public side doesn't see.The Rune Eaters caseRune Eaters carry a real history: 40-match sample, 40% career rate, 5W-5L over the last 10. None of those numbers are exciting in isolation, but they collectively beat 'no visible data' on the opponent's side. Unknown roster vs known mediocre roster is a classic upset profile.Why 58This is barely above a coin flip. The market lean is the only meaningful tiebreaker, and that's a thin signal for a Bo3 in a Tier 2 group stage. 58 confidence reflects backing the book's structural read with honest weighting on the scouting-unknown risk.

Predicted: VRSDelivery 58% conf.
AI FINISHED WRONG 25 May 2026
ex-RUBY
vs
URSA

Round 4: ex-RUBY vs URSA — Prediction & Match Analysis

ex-RUBY get a clean data-stacked lean in the BC Game Masters Europe Series #2 group-stage Bo3 against Ursa. The structural case is tidy: 7W-3L recent form vs Ursa's 3W-7L, near-identical career winrates (61.25% vs 60.13%) on different sample sizes, plus a 1-0 head-to-head edge and an Epicbet line of 1.60 / 2.20 backing ex-RUBY.Ursa's case is the deeper sampleUrsa carry the longer career history (158 matches at 60.13%) and that does meaningfully outlast the recent form swing. The career-rate gap is essentially noise — what matters is the current trajectory, and Ursa are on a 3-7 cold streak going into a Bo3 where match-day momentum and current map pool shape matter more than 12-month numbers.Why 67The 40-point gap in recent winrate plus the H2H plus the market all lean ex-RUBY. The 67 confidence reflects that Ursa's career baseline is too close to ex-RUBY's to fully discount, and a single Bo3 always carries one-map variance when the rosters are this evenly matched on paper.

Wrong: ex-RUBY 67% conf.
AI FINISHED CORRECT 25 May 2026
BIG.A
vs
Kinoa

Grand final: BIG.A vs Kinoa — Prediction & Match Analysis

BIG Academy enter the European Pro League Season 5 playoff match against Kinoa carrying the kind of form line you almost never see in Tier 2 CS2: 10W-0L across the last 10 matches, a 55.61% career baseline on 579 matches (322-257), and a 1-0 head-to-head record against Kinoa. The Thunderpick book agrees decisively — 1.15 / 4.80, implying roughly an 80% market-true win probability.The Kinoa case is real but limitedKinoa are 7W-3L themselves over the last 10 — not a weak form line in isolation. The structural problem is the career sample: effectively nothing visible in the depth that the BIG Academy project has built up. Going into a Bo3 against a 100% recent-form side with prior H2H is a steep ask.Why 73The form line plus market plus H2H all stack on BIG Academy. The confidence is held at 73 rather than 80+ because Tier 2 academy rosters routinely produce variance days, and a Bo3 playoff against a 70%-form opponent in the second map of a single session can flip with one good ban-pick. BIG Academy are still clearly the side to back.

Correct: BIG Academy 73% conf.
AI FINISHED CORRECT 25 May 2026
HERO.A
vs
RE

Round 4: HERO.A vs RE — Prediction & Match Analysis

Rune Eaters enter this BC Game Masters Bo3 as the betting favorites at 1.50 odds against HEROIC Academy at 2.40. The data provides moderate support for this market assessment. Rune Eaters' recent form of 5W-5L is better than HEROIC Academy's 2W-8L — HEROIC Academy have won just 2 of their last 10 matches, a concerning run heading into this matchup.Player statistics are close: HEROIC Academy's average rating of 1.04 edges Rune Eaters' 1.02, and their star st0m4k posts a 1.13 rating with 77.8 ADR. Rune Eaters' demente leads with 1.12 rating and 78.0 ADR — nearly identical individual performances. HEROIC Academy's career winrate of 43.75% (56W-72L) is slightly ahead of Rune Eaters' 40.0% (16W-24L), though both are below 50%. There is no head-to-head history between these teams.The decisive factor here is HEROIC Academy's alarming recent form of 2W-8L — they have been in freefall. Rune Eaters' 5W-5L form, combined with the market's preference at 1.50, makes them the pick. Player stats are too close to override the form differential.

Correct: Rune Eaters 60% conf.
AI FINISHED WRONG 25 May 2026
Leo
vs
G1

Round 4: Leo vs G1 — Prediction & Match Analysis

Leo Team and GenOne meet in CCT Europe 2026 Series #2 in a closely contested Bo3. Leo Team's average player rating of 1.02 edges GenOne's 0.95, and their team ADR of 69.5 versus GenOne's 66.8 shows a modest fragging advantage. Leo Team's OneUn1que leads with a 1.15 rating and 80.8 ADR, while GenOne's Chucky posts 1.14 rating and 70.9 ADR — both teams have a genuine star performer.The head-to-head record is perfectly balanced at 4-4, making it an unreliable differentiator. GenOne's recent form of 7W-3L is notably better than Leo Team's 5W-5L, and web research confirms GenOne (ranked ~#80 globally on GosuGamers) have been in strong form in May 2026 with wins over megoshort, EA Copenhagen, MANA eSports, and Oramond. Leo Team's recent CCT Europe results show losses to Lazer Cats and Phantom Esports. GenOne's career winrate of 52.58% (275W-248L) is comparable to Leo Team's 53.46% (201W-175L).This is a genuine toss-up. Leo Team's player rating edge is offset by GenOne's better recent form and confirmed strong May 2026 results. Leo Team are a narrow pick based on individual stats, but GenOne's momentum makes this a low-confidence call.

Wrong: Leo Team 58% conf.
AI FINISHED CORRECT 25 May 2026
ASTR
vs
BL

ASTR vs BL — Prediction & Match Analysis

ASTRAL face brazylijski luz in the NODWIN Clutch Series Bo3, with the betting market strongly favoring ASTRAL at 1.35 odds. The statistical data provides moderate support: ASTRAL's average player rating of 1.06 edges brazylijski luz's 1.00, and their star Neqy posts a 1.11 rating with 79.6 ADR. ASTRAL's team KAST of 70.1% versus brazylijski luz's 68.4% shows a slight consistency edge.Both teams share an identical 4W-6L recent form record, and there is no head-to-head history between them. ASTRAL's career winrate of 47.83% (33W-36L) is marginally better than brazylijski luz's 44.07% (26W-33L), though both are below 50% — neither team has a dominant track record. brazylijski luz's aimy leads their side with 1.05 rating and 74.7 ADR, and their team ADR of 71.7 is nearly identical to ASTRAL's 71.6.This is a close matchup with limited differentiating data. ASTRAL's slight edge in player ratings and the market's strong preference for them at 1.35 make them the pick, but the identical form records and no H2H history mean this is closer to a coin flip than the odds suggest.

Correct: ASTRAL 57% conf.
AI FINISHED WRONG 25 May 2026
PRE
vs
MANA

Lower bracket semifinal: PRE vs MANA — Prediction & Match Analysis

MANA eSports enter this United21 Season 49 Lower Bracket Semifinal as the betting favorites at 1.36 odds, and the data provides reasonable justification. MANA hold the H2H edge at 1-0 against Prestige, and their career winrate of 53.06% (78W-69L) edges Prestige's 49.57% (58W-59L). MANA's current form coming into this match includes a 5-match winning streak in the tournament (wins over XI Esport, ReThink, LPH, ALGO via forfeit, and Kinoa), showing strong momentum.However, Prestige's player stats tell a different story: their average rating of 1.05 versus MANA's 0.95 is a significant gap, and star player OzN3X posts an impressive 1.28 rating with 75.8 ADR — the highest individual rating in this matchup. Prestige's team ADR of 70.1 also exceeds MANA's 62.0. Both teams share a 5W-5L recent form record. MANA's Caleyy leads their side with 1.11 rating and 79.0 ADR.This is a genuine coin-flip with competing factors. MANA's H2H edge, tournament momentum, and favorable odds point their way, while Prestige's superior player ratings suggest they can compete. MANA are the narrow pick based on H2H and momentum, but Prestige's individual stats keep confidence modest.

Wrong: MANA eSports 63% conf.
AI FINISHED CORRECT 25 May 2026
TNC
vs
MISA

TNC vs MISA — Prediction & Match Analysis

This European Pro League Bo3 between TNC and Misa Esports is one of the tighter matchups on the card. The betting market has priced this as a coin flip at 1.85/1.85, and the data largely supports that assessment. TNC's average player rating of 1.02 edges Misa's 0.88, and their team ADR of 72.1 versus Misa's 62.9 suggests TNC generate more damage per round — a meaningful edge in a Bo3 format.Misa Esports have the better recent form at 6W-4L versus TNC's 3W-7L, and their career winrate of 54.37% (56W-47L) is marginally ahead of TNC's 52.38% (22W-20L). However, Misa's low average player rating of 0.88 is a concern — their wins may be coming against weaker opposition. TNC's star Markoś posts a 1.10 rating, while Misa's rim3 leads with 1.14 rating and 81.7 ADR, making him their key threat.There is no head-to-head history between these teams. The equal odds reflect genuine uncertainty. TNC's superior player ratings and ADR give them a slight statistical edge, but Misa's better recent form keeps this close. TNC are a narrow pick based on individual performance metrics.

Correct: TNC 58% conf.
AI FINISHED CORRECT 25 May 2026
ALGO
vs
NAVI.J

Upper bracket final: ALGO vs NAVI.J — Prediction & Match Analysis

ALGO Esports face NAVI Junior in the United21 Season 49 Upper Bracket Final, a rematch of their April 28 meeting where ALGO won 2-1 (taking Nuke 13-7 and Mirage 13-9 after dropping Dust2 14-16). ALGO's average player rating of 1.03 edges NAVI Junior's 0.97, and their team ADR of 72.8 versus NAVI.J's 67.2 shows a consistent fragging advantage. ALGO's star adeX leads with a 1.13 rating and 76.5 ADR, while nukkye adds 1.12 rating and 77.6 ADR — giving ALGO two genuine star-level performers.Both teams share an identical 4W-6L recent form record, making form a wash. However, NAVI Junior's career winrate of 56.81% (296W-225L) is higher than ALGO's 52.56% (82W-74L), reflecting NAVI.J's longer pedigree. The betting odds at 1.41/2.71 strongly favor ALGO, aligning with the H2H edge and player rating advantage. NAVI Junior's snatchie (1.11 rating) and FAZERY (1.10 rating) are capable of individual brilliance but the team's average rating of 0.97 shows depth issues.ALGO's H2H win, superior player ratings, and higher ADR make them the pick in this Upper Bracket Final. The 1.41 odds imply roughly 71% probability — our data-driven assessment puts ALGO at a 62% edge, making the odds slightly short but the direction correct.

Correct: ALGO Esports 62% 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.