doner kebab w fries — CS2 Stats
US76561198077522089[U:1:117256361]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.01 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Limited utility dependenceReliable 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 76% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower utility contribution; 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. 639ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 64% 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 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| C | 28 | 10–18 | 36% | -0.02 | |
| B | 20 | 10–10 | 50% | -0.01 | |
| D | 17 | 5–12 | 29% | -0.01 | |
| A | 13 | 8–5 | 62% | -0.00 | |
| B | 12 | 6–6 | 50% | -0.02 | |
| C | 5 | 2–3 | 40% | -0.01 | |
| — | 4 | 3–1 | 75% | -0.01 | |
| — | 1 | 1–0 | 100% | -0.07 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Nuke | 1 | 100% | 1.26 | 24.0 |
| Inferno | 1 | 0% | 0.89 | 17.0 |
| Mirage | 1 | 0% | 0.59 | 10.0 |
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.
- 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 13.133% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.385 — below the 0.5 mark we flag
- Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 36.251% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | -0.05 | 13% | 3 Aug → | ||
| 13–11 | -0.02 | 9% | 1 Aug → | ||
| 13–7 | -0.02 | 22% | 1 Aug → | ||
| 9–13 | -0.04 | 12% | 1 Aug → | ||
| 8–13 | -0.05 | 14% | 31 Jul → | ||
| 16–14 | 0.01 | 8% | 31 Jul → | ||
| 7–13 | -0.08 | 21% | 30 Jul → | ||
| 13–10 | -0.07 | 7% | 30 Jul → | ||
| 13–6 | 0.03 | 17% | 28 Jul → | ||
| 13–11 | 0.02 | 13% | 28 Jul → | ||
| 13–10 | 0.04 | 6% | 28 Jul → | ||
| 13–4 | 0.05 | 16% | 28 Jul → | ||
| 8–13 | -0.05 | 7% | 27 Jul → | ||
| 13–11 | -0.01 | 13% | 27 Jul → | ||
| 11–13 | 0.01 | 15% | 26 Jul → | ||
| 4–13 | 0.00 | 18% | 26 Jul → | ||
| 13–16 | -0.04 | 12% | 26 Jul → | ||
| 4–13 | -0.10 | 12% | 25 Jul → | ||
| 11–13 | -0.04 | 22% | 25 Jul → | ||
| 13–11 | -0.04 | 15% | 25 Jul → | ||
| 10–13 | -0.08 | 6% | 25 Jul → | ||
| 15–15 | 0.02 | 17% | 24 Jul → | ||
| 13–16 | 0.01 | 19% | 24 Jul → | ||
| 13–10 | 0.01 | 18% | 23 Jul → | ||
| 15–15 | -0.01 | 15% | 23 Jul → | ||
| 13–11 | -0.02 | 10% | 23 Jul → | ||
| 13–9 | -0.01 | 11% | 23 Jul → | ||
| 5–13 | -0.07 | 8% | 23 Jul → | ||
| 13–7 | -0.02 | 14% | 22 Jul → | ||
| 10–13 | -0.02 | 4% | 22 Jul → | ||
| 5–13 | 0.02 | 10% | 22 Jul → | ||
| 10–13 | -0.04 | 16% | 21 Jul → | ||
| 11–13 | -0.03 | 7% | 15 Jul → | ||
| 10–13 | -0.03 | 8% | 15 Jul → | ||
| 13–8 | -0.00 | 25% | 15 Jul → | ||
| 8–13 | -0.01 | 5% | 15 Jul → | ||
| 13–3 | 0.02 | 16% | 13 Jul → | ||
| 13–8 | 0.05 | 12% | 13 Jul → | ||
| 12–16 | 0.01 | 15% | 12 Jul → | ||
| 11–13 | 0.02 | 17% | 12 Jul → | ||
| 2–13 | -0.06 | 11% | 12 Jul → | ||
| 9–13 | 0.03 | 7% | 12 Jul → | ||
| 14–16 | -0.04 | 8% | 12 Jul → | ||
| 4–13 | -0.00 | 7% | 11 Jul → | ||
| 13–8 | -0.01 | 12% | 11 Jul → | ||
| 13–11 | -0.04 | 10% | 11 Jul → | ||
| 6–13 | -0.07 | 16% | 11 Jul → | ||
| 13–2 | -0.06 | 8% | 11 Jul → | ||
| 13–3 | -0.07 | 13% | 10 Jul → | ||
| 15–15 | -0.06 | 9% | 10 Jul → | ||
| 11–13 | 0.01 | 11% | 10 Jul → | ||
| 4–13 | -0.06 | 20% | 10 Jul → | ||
| 13–9 | 0.00 | 14% | 10 Jul → | ||
| 13–5 | -0.10 | 3% | 9 Jul → | ||
| 13–7 | 0.04 | 7% | 9 Jul → | ||
| 6–13 | -0.08 | 9% | 9 Jul → | ||
| 16–13 | 0.03 | 13% | 9 Jul → | ||
| 16–12 | 0.12 | 14% | 5 Jul → | ||
| 10–13 | 0.04 | 18% | 5 Jul → | ||
| 13–7 | -0.03 | 6% | 5 Jul → | ||
| 9–13 | 0.04 | 21% | 5 Jul → | ||
| 11–13 | 0.05 | 23% | 5 Jul → | ||
| 16–12 | -0.03 | 12% | 4 Jul → | ||
| 13–3 | 0.00 | 10% | 4 Jul → | ||
| 13–4 | 0.07 | 16% | 4 Jul → | ||
| 10–13 | -0.03 | 9% | 4 Jul → | ||
| 9–13 | -0.05 | 14% | 4 Jul → | ||
| 8–13 | -0.07 | 8% | 2 Jul → | ||
| 4–13 | -0.03 | 6% | 2 Jul → | ||
| 13–10 | -0.07 | 8% | 2 Jul → | ||
| 1–5 | -0.03 | 30% | 2 Jul → | ||
| 11–13 | 0.03 | 14% | 2 Jul → | ||
| 3–13 | -0.04 | 13% | 1 Jul → | ||
| 16–14 | 0.04 | 19% | 1 Jul → | ||
| 13–10 | 0.01 | 8% | 1 Jul → | ||
| 6–13 | 0.02 | 29% | 1 Jul → | ||
| 8–13 | -0.05 | 6% | 1 Jul → | ||
| 8–13 | 0.03 | 4% | 28 Jun → | ||
| 11–13 | -0.00 | 16% | 28 Jun → | ||
| 16–14 | 0.05 | 12% | 28 Jun → | ||
| 6–13 | -0.07 | 4% | 28 Jun → | ||
| 16–13 | -0.01 | 10% | 27 Jun → | ||
| 13–7 | 0.00 | 13% | 27 Jun → | ||
| 6–13 | 0.02 | 17% | 27 Jun → | ||
| 7–13 | -0.04 | 14% | 27 Jun → | ||
| 13–6 | -0.06 | 9% | 27 Jun → | ||
| 15–15 | 0.06 | 9% | 26 Jun → | ||
| 8–13 | -0.06 | 17% | 26 Jun → | ||
| 7–13 | -0.04 | 14% | 26 Jun → | ||
| 13–11 | 0.02 | 9% | 25 Jun → | ||
| 13–1 | 0.03 | 7% | 25 Jun → | ||
| 13–11 | -0.03 | 10% | 25 Jun → | ||
| 13–10 | 0.02 | 14% | 25 Jun → | ||
| 10–13 | -0.00 | 20% | 25 Jun → | ||
| 4–13 | 0.00 | 18% | 25 Jun → | ||
| 16–14 | -0.05 | 12% | 24 Jun → | ||
| 7–13 | 0.02 | 14% | 23 Jun → | ||
| 13–6 | 0.02 | 16% | 21 Jun → | ||
| 13–4 | -0.03 | 12% | 21 Jun → | ||
| 13–10 | -0.02 | 15% | 21 Jun → |
Match data via Leetify.