Kerwe | Amnesia — CS2 Stats
76561198359619931[U:1:399354203]✓ No bans
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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
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 80% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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. 661ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 66% 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 3.3/10 (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 |
|---|---|---|---|---|---|
| B | 33 | 16–17 | 48% | -0.01 | |
| A | 21 | 12–9 | 57% | -0.01 | |
| C | 19 | 7–12 | 37% | -0.02 | |
| S | 9 | 7–2 | 78% | -0.01 | |
| A | 5 | 3–2 | 60% | -0.02 | |
| A | 5 | 3–2 | 60% | -0.01 | |
| — | 4 | 3–1 | 75% | 0.07 | |
| — | 2 | 1–1 | 50% | -0.05 | |
| — | 1 | 1–0 | 100% | -0.01 | |
| — | 1 | 0–1 | 0% | -0.06 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 2 | 0% | 0.85 | 14.5 |
| Anubis | 1 | 100% | 1.75 | 14.0 |
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.4058° — 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 12.3478% — 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.
37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | -0.12 | 9% | 20 Jul → | ||
| 13–6 | -0.08 | 13% | 13 Jul → | ||
| 10–13 | 0.06 | 12% | 13 Jul → | ||
| 8–13 | -0.05 | 14% | 26 Jun → | ||
| 8–13 | 0.00 | 8% | 8 Jun → | ||
| 9–13 | -0.02 | 9% | 20 May → | ||
| 9–13 | -0.01 | 6% | 18 May → | ||
| 13–10 | 0.01 | 13% | 8 May → | ||
| 8–13 | -0.02 | 13% | 8 May → | ||
| 8–13 | -0.10 | 8% | 7 May → | ||
| 1–13 | -0.02 | 19% | 5 May → | ||
| 12–16 | -0.04 | 4% | 3 May → | ||
| 13–6 | 0.01 | 8% | 1 May → | ||
| 8–13 | -0.06 | 17% | 30 Apr → | ||
| 13–8 | 0.07 | 15% | 30 Apr → | ||
| 13–6 | 0.06 | 14% | 27 Apr → | ||
| 13–7 | -0.05 | 10% | 26 Apr → | ||
| 16–13 | -0.04 | 8% | 25 Apr → | ||
| 10–13 | 0.01 | 18% | 24 Apr → | ||
| 8–13 | 0.02 | 19% | 23 Apr → | ||
| 13–7 | -0.01 | 12% | 23 Apr → | ||
| 13–11 | -0.03 | 11% | 20 Apr → | ||
| 13–9 | 0.03 | 19% | 19 Apr → | ||
| 13–0 | 0.15 | 15% | 18 Apr → | ||
| 9–13 | -0.07 | 24% | 17 Apr → | ||
| 13–8 | 0.03 | 14% | 17 Apr → | ||
| 9–13 | -0.00 | 13% | 17 Apr → | ||
| 8–13 | -0.04 | 11% | 17 Apr → | ||
| 12–0 | 0.04 | 3% | 17 Apr → | ||
| 2–13 | -0.06 | 16% | 16 Apr → | ||
| 13–11 | 0.02 | 13% | 16 Apr → | ||
| 13–9 | 0.00 | 8% | 15 Apr → | ||
| 15–15 | -0.03 | 15% | 14 Apr → | ||
| 15–15 | -0.02 | 10% | 13 Apr → | ||
| 3–13 | -0.02 | 8% | 12 Apr → | ||
| 11–13 | -0.01 | 2% | 12 Apr → | ||
| 10–13 | 0.01 | 6% | 11 Apr → | ||
| 7–13 | -0.09 | 11% | 11 Apr → | ||
| 6–13 | 0.01 | 23% | 11 Apr → | ||
| 14–16 | -0.03 | 8% | 10 Apr → | ||
| 13–8 | -0.07 | 24% | 10 Apr → | ||
| 13–8 | -0.01 | 6% | 10 Apr → | ||
| 13–0 | 0.12 | 6% | 9 Apr → | ||
| 6–13 | -0.05 | 12% | 9 Apr → | ||
| 10–13 | -0.01 | 5% | 9 Apr → | ||
| 13–9 | -0.07 | 23% | 9 Apr → | ||
| 13–6 | -0.00 | 11% | 8 Apr → | ||
| 13–6 | -0.04 | 13% | 8 Apr → | ||
| 13–7 | -0.01 | 18% | 8 Apr → | ||
| 13–6 | 0.06 | 13% | 8 Apr → | ||
| 10–13 | -0.02 | 11% | 7 Apr → | ||
| 13–2 | 0.04 | 25% | 7 Apr → | ||
| 13–7 | 0.01 | 16% | 6 Apr → | ||
| 13–9 | -0.06 | 16% | 6 Apr → | ||
| 12–16 | -0.03 | 6% | 5 Apr → | ||
| 13–11 | 0.00 | 14% | 5 Apr → | ||
| 13–0 | 0.15 | 10% | 5 Apr → | ||
| 13–7 | -0.01 | 13% | 5 Apr → | ||
| 16–12 | 0.05 | 17% | 4 Apr → | ||
| 13–8 | -0.08 | 11% | 4 Apr → | ||
| 13–10 | 0.00 | 16% | 4 Apr → | ||
| 13–16 | 0.03 | 13% | 3 Apr → | ||
| 13–9 | 0.00 | 15% | 2 Apr → | ||
| 16–12 | -0.02 | 15% | 1 Apr → | ||
| 13–7 | -0.06 | 7% | 1 Apr → | ||
| 13–10 | 0.06 | 10% | 31 Mar → | ||
| 2–13 | -0.01 | 17% | 31 Mar → | ||
| 11–13 | -0.02 | 15% | 30 Mar → | ||
| 13–8 | -0.02 | 10% | 30 Mar → | ||
| 13–9 | -0.01 | 14% | 30 Mar → | ||
| 13–7 | 0.03 | 13% | 29 Mar → | ||
| 7–13 | -0.07 | 5% | 28 Mar → | ||
| 13–7 | -0.07 | 24% | 28 Mar → | ||
| 13–10 | -0.05 | 12% | 28 Mar → | ||
| 13–16 | -0.09 | 11% | 28 Mar → | ||
| 7–13 | -0.04 | 11% | 27 Mar → | ||
| 8–13 | 0.03 | 14% | 27 Mar → | ||
| 6–13 | -0.01 | 8% | 27 Mar → | ||
| 5–13 | -0.05 | 21% | 22 Mar → | ||
| 4–9 | -0.00 | 9% | 22 Mar → | ||
| 13–11 | -0.04 | 6% | 19 Mar → | ||
| 13–7 | -0.03 | 15% | 18 Mar → | ||
| 9–13 | -0.04 | 10% | 18 Mar → | ||
| 13–4 | 0.03 | 5% | 17 Mar → | ||
| 16–14 | -0.02 | 11% | 15 Mar → | ||
| 10–13 | -0.04 | 13% | 14 Mar → | ||
| 13–5 | -0.03 | 13% | 14 Mar → | ||
| 13–10 | -0.00 | 13% | 13 Mar → | ||
| 13–8 | 0.04 | 24% | 13 Mar → | ||
| 9–13 | -0.00 | 7% | 12 Mar → | ||
| 13–6 | 0.02 | 12% | 12 Mar → | ||
| 11–13 | 0.00 | 18% | 12 Mar → | ||
| 13–11 | 0.03 | 11% | 10 Mar → | ||
| 8–13 | 0.01 | 18% | 10 Mar → | ||
| 9–13 | -0.00 | 8% | 10 Mar → | ||
| 13–6 | -0.03 | 3% | 9 Mar → | ||
| 13–16 | -0.04 | 11% | 7 Mar → | ||
| 13–8 | -0.01 | 10% | 6 Mar → | ||
| 11–13 | -0.01 | 15% | 6 Mar → | ||
| 13–6 | -0.01 | 12% | 6 Mar → |
Match data via Leetify.
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