Evn — CS2 Stats
US76561198143209640[U:1:182943912]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.01 avg rating
Player DNA
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 NiKo 76% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower positioning profile; 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
Reaction time. 663ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 3.6/10 (Learning), 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 |
|---|---|---|---|---|---|
| D | 30 | 9–21 | 30% | -0.04 | |
| B | 25 | 13–12 | 52% | -0.04 | |
| D | 19 | 6–13 | 32% | -0.04 | |
| A | 8 | 5–3 | 63% | -0.06 | |
| B | 6 | 3–3 | 50% | -0.04 | |
| — | 4 | 2–2 | 50% | -0.02 | |
| — | 3 | 2–1 | 67% | -0.04 | |
| — | 2 | 0–2 | 0% | 0.05 | |
| office | — | 2 | 1–1 | 50% | -0.03 |
| — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (30% over 30). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.3164° — above the 12° mark we flag
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.5358% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
30% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 15–15 | -0.02 | 10% | 28 Aug → | ||
| 7–13 | -0.02 | 12% | 24 Aug → | ||
| 13–16 | -0.03 | 33% | 24 Aug → | ||
| 8–13 | -0.06 | 14% | 8 Aug → | ||
| 5–9 | 0.00 | 12% | 8 Aug → | ||
| 6–9 | -0.15 | 3% | 8 Aug → | ||
| 13–8 | -0.01 | 19% | 7 Aug → | ||
| 13–2 | -0.02 | 32% | 7 Aug → | ||
| 12–12 | 0.05 | 14% | 17 Jul → | ||
| 7–9 | 0.13 | 20% | 17 Jul → | ||
| 8–8 | 0.11 | 12% | 17 Jul → | ||
| 13–11 | 0.02 | 9% | 12 Jul → | ||
| 13–9 | 0.01 | 12% | 12 Jul → | ||
| 4–13 | -0.06 | 17% | 12 Jul → | ||
| 13–11 | -0.01 | 12% | 12 Jul → | ||
| 2–13 | 0.03 | 14% | 12 Jul → | ||
| 0–13 | -0.14 | 5% | 12 Jul → | ||
| 7–9 | -0.01 | 12% | 12 Jul → | ||
| 5–13 | -0.06 | 10% | 26 Jun → | ||
| 13–10 | -0.07 | 6% | 26 Jun → | ||
| 5–13 | -0.09 | 16% | 26 Jun → | ||
| 13–10 | -0.07 | 23% | 26 Jun → | ||
| 13–3 | 0.02 | 8% | 26 Jun → | ||
| 13–10 | -0.07 | 6% | 24 Jun → | ||
| 14–16 | -0.05 | 14% | 24 Jun → | ||
| 13–3 | -0.08 | 22% | 21 Jun → | ||
| 15–15 | -0.07 | 12% | 21 Jun → | ||
| 10–13 | -0.06 | 14% | 21 Jun → | ||
| 16–13 | -0.06 | 5% | 21 Jun → | ||
| 5–13 | -0.05 | 24% | 19 Jun → | ||
| 13–10 | -0.08 | 5% | 19 Jun → | ||
| 13–6 | 0.02 | 15% | 18 Jun → | ||
| 15–15 | -0.05 | 12% | 18 Jun → | ||
| 10–7 | -0.03 | 14% | 18 Jun → | ||
| 8–13 | -0.05 | 3% | 17 Jun → | ||
| 5–13 | -0.07 | 10% | 17 Jun → | ||
| 13–8 | -0.10 | 10% | 17 Jun → | ||
| 13–11 | -0.02 | 16% | 14 Jun → | ||
| 12–12 | -0.07 | 14% | 14 Jun → | ||
| 9–13 | -0.07 | 7% | 14 Jun → | ||
| 7–13 | -0.10 | 7% | 7 Jun → | ||
| 13–7 | -0.01 | 7% | 5 Jun → | ||
| 13–10 | 0.01 | 9% | 5 Jun → | ||
| 9–13 | -0.04 | 22% | 5 Jun → | ||
| 7–13 | -0.02 | 20% | 4 Jun → | ||
| 13–8 | -0.02 | 15% | 4 Jun → | ||
| 13–6 | -0.04 | 5% | 3 Jun → | ||
| 12–12 | -0.04 | 7% | 3 Jun → | ||
| 5–0 | 0.01 | 0% | 3 Jun → | ||
| 13–11 | 0.02 | 21% | 3 Jun → | ||
| 6–9 | -0.02 | 12% | 3 Jun → | ||
| 10–13 | 0.02 | 15% | 2 Jun → | ||
| 13–11 | -0.07 | 17% | 2 Jun → | ||
| 13–8 | 0.11 | 18% | 2 Jun → | ||
| 6–9 | -0.05 | 21% | 2 Jun → | ||
| 11–13 | -0.02 | 20% | 1 Jun → | ||
| 4–9 | 0.01 | 19% | 1 Jun → | ||
| 1–9 | -0.10 | 7% | 1 Jun → | ||
| 9–13 | -0.05 | 6% | 29 May → | ||
| 6–13 | -0.09 | 11% | 29 May → | ||
| 12–12 | -0.10 | 16% | 28 May → | ||
| 10–13 | -0.06 | 13% | 28 May → | ||
| 13–11 | -0.06 | 2% | 28 May → | ||
| 3–13 | -0.03 | 15% | 28 May → | ||
| 1–13 | -0.03 | 8% | 19 May → | ||
| 13–3 | -0.05 | 7% | 19 May → | ||
| 10–13 | -0.09 | 13% | 19 May → | ||
| 10–13 | -0.05 | 16% | 25 Apr → | ||
| 13–11 | -0.05 | 21% | 25 Apr → | ||
| 6–13 | -0.01 | 8% | 1 Apr → | ||
| 12–12 | 0.04 | 14% | 31 Mar → | ||
| 12–12 | 0.02 | 11% | 31 Mar → | ||
| office | 3–13 | -0.06 | 10% | 17 May → | |
| 6–13 | -0.08 | 13% | 17 May → | ||
| 13–1 | 0.05 | 20% | 17 May → | ||
| 13–11 | -0.02 | 15% | 16 May → | ||
| 13–5 | -0.05 | 4% | 9 May → | ||
| 6–13 | -0.06 | 6% | 9 May → | ||
| 13–10 | -0.03 | 11% | 4 May → | ||
| 8–13 | -0.05 | 17% | 4 May → | ||
| 10–13 | -0.01 | 11% | 4 May → | ||
| 8–13 | -0.06 | 13% | 4 May → | ||
| 12–12 | -0.04 | 13% | 4 May → | ||
| 13–9 | -0.06 | 12% | 3 May → | ||
| 13–10 | -0.08 | 18% | 3 May → | ||
| 13–7 | -0.07 | 13% | 3 May → | ||
| 13–7 | -0.01 | 21% | 3 May → | ||
| 5–13 | -0.11 | 17% | 3 May → | ||
| 11–13 | -0.08 | 18% | 30 Apr → | ||
| 9–13 | -0.09 | 4% | 30 Apr → | ||
| 8–13 | -0.06 | 4% | 30 Apr → | ||
| 16–12 | -0.07 | 19% | 26 Apr → | ||
| 10–13 | -0.09 | 10% | 26 Apr → | ||
| office | 13–11 | -0.00 | 5% | 26 Apr → | |
| 10–13 | -0.03 | 17% | 26 Apr → | ||
| 7–1 | -0.04 | 0% | 26 Apr → | ||
| 13–5 | -0.06 | 9% | 26 Apr → | ||
| 10–13 | -0.09 | 9% | 26 Apr → | ||
| 13–10 | -0.04 | 7% | 22 Apr → | ||
| 13–4 | -0.02 | 11% | 22 Apr → |
Match data via Leetify.