b90 — CS2 Stats
US76561198037826370[U:1:77560642]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · +0.03 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Strong CT-side openerEffective flashesReliable in 1v1s
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match

Plays most like Twistzz 89% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Areas to improve
T-side openings. Opening success drops from 46% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 587ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| S | 35 | 29–6 | 83% | 0.01 | |
| S | 20 | 13–7 | 65% | -0.01 | |
| A | 13 | 8–5 | 62% | -0.02 | |
| S | 10 | 8–2 | 80% | 0.01 | |
| S | 9 | 6–3 | 67% | 0.00 | |
| — | 4 | 1–3 | 25% | -0.03 | |
| — | 3 | 2–1 | 67% | 0.03 | |
| — | 2 | 1–1 | 50% | 0.03 | |
| sanctum | — | 1 | 0–1 | 0% | 0.02 |
| poseidon | — | 1 | 1–0 | 100% | 0.00 |
| office | — | 1 | 1–0 | 100% | 0.03 |
| — | 1 | 1–0 | 100% | 0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (62% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 9 | 67% | 0.89 | 13.4 |
| Dust2 | 3 | 67% | 1.25 | 17.3 |
| Vertigo | 2 | 50% | 1.04 | 15.0 |
| Inferno | 1 | 0% | 1.19 | 19.0 |
| Nuke | 1 | 100% | 1.36 | 19.0 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 25.9066% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.03 | 23% | 14 Aug → | ||
| 13–10 | 0.08 | 20% | 14 Aug → | ||
| 13–0 | 0.14 | 35% | 12 Aug → | ||
| 13–1 | 0.02 | 18% | 12 Aug → | ||
| 10–13 | -0.06 | 9% | 12 Aug → | ||
| 13–2 | 0.04 | 19% | 25 Jun → | ||
| 5–13 | -0.02 | 8% | 9 Jun → | ||
| 9–13 | -0.05 | 10% | 9 Jun → | ||
| 13–6 | 0.02 | 21% | 9 Jun → | ||
| 13–10 | -0.01 | 24% | 9 Jun → | ||
| 13–0 | -0.03 | 17% | 9 Jun → | ||
| 13–9 | 0.00 | 17% | 9 Jun → | ||
| 3–0 | 0.00 | 0% | 9 Jun → | ||
| 13–9 | -0.03 | 8% | 9 Jun → | ||
| 13–6 | 0.02 | 31% | 9 Jun → | ||
| 13–8 | 0.03 | 18% | 8 Jun → | ||
| 13–9 | -0.00 | 15% | 8 Jun → | ||
| 13–10 | -0.06 | 14% | 8 Jun → | ||
| 13–3 | -0.04 | 15% | 8 Jun → | ||
| 13–6 | -0.05 | 26% | 8 Jun → | ||
| 13–2 | 0.08 | 29% | 24 May → | ||
| 8–13 | 0.02 | 15% | 21 May → | ||
| 12–12 | -0.04 | 17% | 21 May → | ||
| 12–12 | 0.00 | 20% | 10 May → | ||
| 13–11 | -0.01 | 19% | 7 May → | ||
| 13–1 | 0.07 | 25% | 7 May → | ||
| 13–11 | -0.04 | 20% | 7 May → | ||
| 13–6 | -0.04 | 13% | 7 May → | ||
| 9–13 | -0.01 | 11% | 7 May → | ||
| 13–6 | 0.02 | 23% | 7 May → | ||
| 13–7 | -0.01 | 26% | 29 Apr → | ||
| 8–13 | 0.01 | 22% | 29 Apr → | ||
| 13–11 | 0.06 | 14% | 29 Apr → | ||
| 13–9 | 0.01 | 21% | 29 Apr → | ||
| 13–8 | -0.07 | 14% | 29 Apr → | ||
| 8–13 | -0.08 | 21% | 29 Apr → | ||
| 13–4 | 0.06 | 14% | 29 Apr → | ||
| 13–5 | 0.02 | 12% | 29 Apr → | ||
| 13–10 | -0.05 | 22% | 29 Apr → | ||
| 10–13 | -0.05 | 13% | 29 Apr → | ||
| 2–13 | -0.05 | 9% | 29 Apr → | ||
| 13–4 | 0.06 | 11% | 28 Apr → | ||
| 10–5 | 0.06 | 31% | 28 Apr → | ||
| 8–13 | 0.00 | 30% | 29 Mar → | ||
| 13–11 | -0.06 | 10% | 23 Mar → | ||
| 5–13 | -0.03 | 22% | 21 Mar → | ||
| sanctum | 6–9 | 0.02 | 18% | 13 Mar → | |
| poseidon | 9–6 | 0.00 | 25% | 13 Mar → | |
| 13–2 | 0.12 | 15% | 13 Mar → | ||
| 13–11 | 0.07 | 22% | 13 Mar → | ||
| 13–5 | 0.05 | 31% | 13 Mar → | ||
| 13–6 | -0.04 | 14% | 13 Mar → | ||
| 13–5 | -0.03 | 11% | 13 Mar → | ||
| office | 13–8 | 0.03 | 16% | 9 Mar → | |
| 13–8 | -0.02 | 11% | 9 Mar → | ||
| 13–5 | -0.02 | 23% | 9 Mar → | ||
| 6–13 | -0.05 | 16% | 9 Mar → | ||
| 7–0 | 0.03 | 25% | 9 Mar → | ||
| 15–15 | -0.04 | 12% | 5 Mar → | ||
| 7–13 | 0.02 | 14% | 5 Mar → | ||
| 13–2 | 0.09 | 18% | 5 Mar → | ||
| 13–3 | -0.01 | 20% | 5 Mar → | ||
| 4–13 | 0.11 | 11% | 5 Mar → | ||
| 12–12 | 0.04 | 20% | 3 Mar → | ||
| 13–11 | -0.02 | 15% | 3 Mar → | ||
| 11–13 | -0.01 | 25% | 29 Jan → | ||
| 13–3 | 0.04 | 20% | 29 Jan → | ||
| 13–7 | -0.00 | 26% | 29 Jan → | ||
| 13–1 | -0.04 | 0% | 29 Jan → | ||
| 13–5 | 0.04 | 29% | 23 Jan → | ||
| 13–2 | 0.07 | 15% | 23 Jan → | ||
| 13–6 | -0.00 | 18% | 23 Jan → | ||
| 13–4 | -0.04 | 8% | 23 Jan → | ||
| 13–1 | 0.08 | 26% | 23 Jan → | ||
| 13–5 | -0.01 | 24% | 21 Jan → | ||
| 13–3 | -0.07 | 20% | 21 Jan → | ||
| 13–5 | 0.05 | 16% | 21 Jan → | ||
| 13–2 | 0.00 | 17% | 21 Jan → | ||
| 13–9 | -0.00 | 20% | 17 Jan → | ||
| 8–13 | -0.08 | 6% | 17 Jan → | ||
| 15–15 | -0.01 | 14% | 17 Jan → | ||
| 13–3 | 0.01 | 21% | 14 Jan → | ||
| 13–6 | -0.04 | 10% | 1 Jan → | ||
| 13–2 | 0.02 | 27% | 1 Jan → | ||
| 13–6 | 0.06 | 22% | 1 Jan → | ||
| 7–13 | -0.02 | 20% | 30 Dec → | ||
| 12–12 | 0.02 | 21% | 30 Dec → | ||
| 13–2 | 0.10 | 16% | 29 Dec → | ||
| 13–7 | -0.01 | 15% | 29 Dec → | ||
| 13–2 | 0.01 | 25% | 29 Dec → | ||
| 3–13 | -0.02 | 31% | 27 Dec → | ||
| 13–11 | -0.01 | 11% | 27 Dec → | ||
| 13–4 | -0.00 | 14% | 27 Dec → | ||
| 13–2 | 0.03 | 15% | 27 Dec → | ||
| 4–13 | 0.02 | 13% | 27 Dec → | ||
| 9–13 | -0.06 | 9% | 25 Dec → | ||
| 13–4 | 0.07 | 19% | 17 Dec → | ||
| 7–13 | -0.05 | 12% | 16 Dec → | ||
| 4–13 | -0.09 | 17% | 16 Dec → | ||
| 13–11 | -0.01 | 16% | 15 Dec → |
Match data via Leetify.