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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 14 Jun 2026
URSA
vs
G1

Round 3: URSA vs G1 — Prediction & Match Analysis

GenOne get a market-and-form lean in the CCT Europe S4 Bo3 against Ursa. 2-2 H2H, GenOne 7W-3L vs Ursa 5W-5L, GenOne 52.58% career on 523 vs Ursa 60.13% on 158. Thunderpick prices GenOne at 1.74 / 2.02.Why 65Form and market plus sample-depth outweigh Ursa's career-rate edge.

Wrong: GenOne 65% conf.
AI CANCELED 14 Jun 2026
TDK
vs
YN

Round 16 match 3: TDK vs YN — Prediction & Match Analysis

TDK get a stacked lean in the EPL Series 7 Bo3 against Young Ninjas. 80.95% career rate on 42 matches, 8W-2L recent form vs YN's 6W-4L, and Thunderpick pricing TDK at 1.32 / 3.10.The YN caseYoung Ninjas carry zero visible career sample, just the academy infrastructure. Bo3 single-session variance against the in-form TDK side is real but the structural gap is enormous.Why 73Market, career rate, form all align on TDK.

Predicted: TDK 73% conf.
AI FINISHED CORRECT 14 Jun 2026
1WIN
vs
TDK

Round of 16 match 3: 1WIN vs TDK — Prediction & Match Analysis

TDK get a market-and-form lean in the NODWIN Clutch Series Bo3 against 1WIN. 1-1 H2H, TDK 80.95% on 42 vs 1WIN 61.75% on 664, TDK 8-2 vs 1WIN 6-4 form. Epicbet 1.50/2.40.The 1WIN case1WIN bring the vastly deeper career sample (664 vs 42) and a 1-1 H2H — both meaningful structural assets. The form gap and market consensus pull the other way.Why 65TDK's career rate plus form plus market lean stack the data side, but 1WIN's depth tempers the confidence.

Correct: TDK 65% conf.
AI FINISHED CORRECT 14 Jun 2026
ILWL
vs
NTR

Round of 16 match 4: ILWL vs NTR — Prediction & Match Analysis

Nuclear TigeRES get a contrarian market-and-form lean despite trailing on H2H. NT 62.16% on 222 vs illwill 68.67% on 83, NT 8-2 vs illwill 4-6 form. illwill 2-0 H2H. Epicbet prices NT at 1.28 / 3.35 — book overrides the H2H.Why 60Form and market lean on NT, H2H and career rate lean on illwill. Backing the market read at minimum confidence reflects the honest tension.

Correct: Nuclear TigeRES 60% conf.
AI FINISHED WRONG 14 Jun 2026
INF
vs
VP

Round 16 match 2: INF vs VP — Prediction & Match Analysis

Virtus.pro get a clean stacked lean in the EPL Series 7 Bo3 against Infinite. Every visible metric aligns: 52.29% career rate on 612 matches vs Infinite's 33.59% on 256, VP 8W-2L recent form vs Infinite 6W-4L, and Thunderpick pricing VP at 1.35 / 2.90.The Infinite caseInfinite bring a 6W-4L form line that's respectable in absolute terms — but the 33.59% career rate is well below replacement-tier baseline. No H2H data exists.Why 73The data is decisively one-sided. The 73 confidence reflects the clean data stack while honestly weighting Bo3 single-session variance.

Wrong: Virtus.pro 73% conf.
AI FINISHED WRONG 14 Jun 2026
FNC
vs
MZP

Upper bracket final: FNC vs MZP — Prediction & Match Analysis

fnatic get a market-and-sample-depth lean in the ROG Journey Bo3 against Metizport. Both sides at 7W-3L recent form, 1-1 H2H, fnatic's 835-match career sample over 2x deeper than Metizport's 353, and Thunderpick pricing fnatic at 1.52 / 2.35.The Metizport caseMetizport bring the lower career rate (50.99% vs fnatic's 53.65%) but a respectable form line and a 1-1 H2H pattern. Swedish Tier 2/3 projects have historically been competitive against established T1 rosters when the matchup is structurally close.Why 65Sample depth, career rate, and market consensus stack on fnatic. The 65 confidence reflects the structural lean while honestly weighting the tied form and H2H — Bo3 variance is genuinely real when neither side has a clear momentum or matchup edge.

Wrong: fnatic 65% conf.
AI FINISHED CORRECT 14 Jun 2026
G2
vs
LGC

Round 4: G2 vs LGC — Prediction & Match Analysis

G2 get a market-and-sample-depth lean in the IEM Cologne Major Stage 3 R3 Bo3 against Legacy, despite trailing on career rate. The structural case: G2 776-match career sample vs Legacy's 290, both sides at 6W-4L recent form, 1-1 H2H, and Thunderpick pricing G2 at 1.49 / 2.44.The Legacy caseLegacy bring a 64.14% career rate clearly above G2's 57.99% — a real structural baseline. The back-to-back CAC titles, latto's CAC MVP form, and arT's leadership-style reinvention all produce genuine Bo3 ceiling. The 6-4 form line matches G2's exactly.Why 65Market consensus plus sample depth outweigh Legacy's career-rate edge in a matchup where every other metric is tied. The 65 confidence reflects the structural lean while honestly weighting the Stage 3 elimination pressure — G2 dropped the Falcons opener and now need the Legacy Bo3 to stay in Stage 3 contention, which lifts the favourite's ceiling.

Correct: G2 65% conf.
AI FINISHED CORRECT 14 Jun 2026
HOTU
vs
KOL

Round of 16 match 2: HOTU vs KOL — Prediction & Match Analysis

HOTU get a clean stacked lean in the NODWIN Clutch Series Season 9 Bo3 against KOLESIE. The structural case: HOTU 8W-2L recent form vs KOLESIE's 7W-3L, HOTU's 322-match career sample vastly deeper than KOLESIE's 71, and Epicbet pricing HOTU at 1.45 / 2.56.The KOLESIE caseKOLESIE bring a higher career rate (63.38% on 71) than HOTU's 57.45% on 322. That's a real signal in Bo3 ceiling terms, but the sample-depth gap is structurally meaningful. No H2H data exists.Why 68Form, sample depth, and market consensus stack on HOTU. The 68 confidence reflects the data stack while honestly weighting KOLESIE's career-rate edge — small-sample favourites occasionally outperform deeper-sample baselines, especially in Bo3 single-session variance.

Correct: HOTU 68% conf.
AI FINISHED WRONG 14 Jun 2026
SPARTA
vs
Leo

Round 3: SPARTA vs Leo — Prediction & Match Analysis

SPARTA get a market-side lean in the CCT Europe Series 4 Bo3 against Leo Team. The matchup is structurally close: 1-1 H2H, similar career rates (SPARTA 50.82%, Leo 53.46%), contrasting form lines (SPARTA 4W-6L, Leo 5W-5L), and Thunderpick pricing SPARTA at 1.65 / 2.10.The Leo Team caseLeo Team bring the deeper career sample (376 vs 183), the higher career rate (53.46%), and the better recent form (5-5 vs 4-6). On paper Leo are the structurally favoured side — but the books read the matchup against the data, suggesting private practice information points the other way.Why 60Market consensus is the only meaningful tiebreaker in a matchup where every other public metric pulls toward Leo. Backing the book read at minimum confidence reflects the honest near-coin-flip nature.

Wrong: SPARTA 60% conf.
AI FINISHED CORRECT 14 Jun 2026
BB
vs
VIT

Round 4: BB vs VIT — Prediction & Match Analysis

Vitality get a high-confidence market-and-baseline lean in the IEM Cologne Major Stage 3 R3 Bo3 against BetBoom. Thunderpick prices Vitality at 1.20 vs BetBoom's 4.02, implying roughly 83% true win probability. Vitality's 70.16% career rate is the highest in the entire Stage 3 field, and the 2-2 H2H removes any historical disadvantage.The BetBoom caseBetBoom carry the most credible Cologne underdog trajectory of the Major — the M80 13-2 demolition, the MongolZ upset, FL4MUS in carrier form, and an 8W-2L recent form line that actually trumps Vitality's 7W-3L. The 2-2 H2H means BetBoom have historically been viable in the matchup. The case for the upset isn't fantasy.Why 72Career rate, market consensus, and the apEX-GOAT framing pressure all stack on Vitality. The 72 confidence reflects the structural lean while honestly weighting BetBoom's hot Cologne run — Bo3 variance against a side that already upset MongolZ is real, even with the most extreme market price of the slate.

Correct: Vitality 72% conf.
AI FINISHED WRONG 14 Jun 2026
AUR
vs
9z

Round 4: AUR vs 9z — Prediction & Match Analysis

9z get a market-and-individual-ceiling lean in the IEM Cologne Major Stage 3 R3 Bo3 against Aurora Gaming. The structural case: 9z 67.55% career rate on 530 matches vs Aurora's 58.56% on 485, 9z 6W-4L vs Aurora 5W-5L, and Thunderpick pricing 9z as the slight favourite at 1.80 / 1.91.The Aurora caseAurora bring a deep 485-match career sample and a respectable 5W-5L form line. The matchup has no H2H history, so neither side has a historical pattern to anchor against. The structural case for Aurora rests on the career-sample depth and the consistent European T1 trajectory through 2026.Why 63Career rate, recent form, and market consensus all lean 9z — but only narrowly. luchov's 2.00 Stage 3 R1 series rating against PARIVISION and the old-mouse-switch confidence give the South American side a real individual-ceiling edge. The 63 confidence reflects the honest near-coin-flip nature with a slight 9z structural lean.

Wrong: 9z 63% conf.
AI FINISHED WRONG 14 Jun 2026
NAVI
vs
FAL

Round 4: NAVI vs FAL — Prediction & Match Analysis

NAVI get a market-and-career-baseline lean in the IEM Cologne Major Stage 3 R3 Bo3 against Team Falcons. Both sides arrive at 7W-3L recent form, and the H2H is a clean 3-3 split. The structural differentiator is career rate and market read: NAVI 65% on 740 matches vs Falcons' 54.52% on 310, with Thunderpick pricing NAVI at 1.58 / 2.25.The Falcons caseFalcons enter on the back of the 2-1 G2 win in Stage 3 R1 — the kind of structurally clean result that validates the karrigan-led project's playoff ceiling. The kyousuke-NiKo-m0NESY firepower triangle is consistently producing T-side opening pressure, and m0NESY's old-org showdown win gives Falcons real momentum entering this matchup.Why 68Career rate, sample depth, and market consensus stack on NAVI. The 68 confidence reflects the data stack while honestly weighting Falcons' firepower ceiling and the 3-3 H2H — neither side has historically dominated the matchup, and Bo3 variance against the karrigan calling layer is genuinely real.

Wrong: Natus Vincere 68% 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.