cucumber head — CS2 Stats
76561198275430523[U:1:315164795]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp 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 69% playstyle similarity
Most alike: opening-duel success, 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. 735ms 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 3.8/10 (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 |
|---|---|---|---|---|---|
| A | 29 | 17–12 | 59% | -0.04 | |
| A | 18 | 10–8 | 56% | -0.00 | |
| D | 17 | 5–12 | 29% | -0.04 | |
| B | 14 | 7–7 | 50% | -0.03 | |
| B | 11 | 5–6 | 45% | -0.02 | |
| — | 4 | 1–3 | 25% | -0.05 | |
| — | 4 | 2–2 | 50% | 0.00 | |
| office | — | 3 | 0–3 | 0% | -0.03 |
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 resultsWWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 10 | 50% | 1.22 | 16.3 |
| Anubis | 5 | 40% | 0.97 | 15.0 |
| Ancient | 4 | 50% | 0.80 | 11.5 |
| Nuke | 4 | 75% | 1.37 | 14.3 |
| Dust2 | 3 | 100% | 1.05 | 12.0 |
| Mirage | 3 | 33% | 0.89 | 14.0 |
| Overpass | 2 | 100% | 0.72 | 11.5 |
| Vertigo | 2 | 0% | 0.63 | 9.5 |
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 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 734.7397ms — above the 700ms mark we flag
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.9524 — below the 4 mark we flag
- 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 24.9071% — 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 | |
|---|---|---|---|---|---|
| 13–10 | -0.07 | 18% | 24 Aug → | ||
| 13–9 | 0.07 | 14% | 24 Aug → | ||
| 10–13 | 0.01 | 15% | 24 Aug → | ||
| 13–1 | -0.01 | 33% | 23 Aug → | ||
| 9–13 | -0.06 | 24% | 23 Aug → | ||
| 16–13 | -0.01 | 14% | 23 Aug → | ||
| 10–13 | -0.05 | 10% | 20 Aug → | ||
| 8–13 | -0.08 | 23% | 20 Aug → | ||
| 6–13 | -0.04 | 9% | 19 Aug → | ||
| 8–13 | -0.00 | 26% | 19 Aug → | ||
| 5–13 | 0.01 | 17% | 16 Aug → | ||
| 15–15 | -0.08 | 15% | 16 Aug → | ||
| 1–13 | -0.03 | 12% | 16 Aug → | ||
| 13–10 | -0.05 | 17% | 13 Aug → | ||
| 13–5 | 0.08 | 13% | 13 Aug → | ||
| 9–13 | -0.07 | 13% | 12 Aug → | ||
| 5–13 | -0.11 | 0% | 12 Aug → | ||
| 13–7 | -0.11 | 9% | 12 Aug → | ||
| 16–14 | -0.04 | 11% | 11 Aug → | ||
| 13–6 | 0.05 | 18% | 11 Aug → | ||
| 9–13 | -0.02 | 21% | 6 Aug → | ||
| 9–1 | -0.02 | 50% | 5 Aug → | ||
| 14–16 | -0.06 | 19% | 5 Aug → | ||
| 5–13 | -0.08 | 15% | 5 Aug → | ||
| 3–13 | -0.07 | 26% | 5 Aug → | ||
| 11–13 | -0.05 | 7% | 3 Aug → | ||
| 13–9 | 0.05 | 8% | 3 Aug → | ||
| 13–7 | -0.02 | 10% | 2 Aug → | ||
| 13–6 | 0.03 | 19% | 2 Aug → | ||
| 9–13 | -0.04 | 11% | 2 Aug → | ||
| 11–13 | -0.03 | 17% | 2 Aug → | ||
| 13–11 | -0.06 | 6% | 28 Jul → | ||
| 4–13 | -0.06 | 6% | 28 Jul → | ||
| 13–6 | -0.04 | 11% | 28 Jul → | ||
| 13–11 | -0.06 | 7% | 28 Jul → | ||
| 13–6 | 0.06 | 9% | 27 Jul → | ||
| 9–13 | -0.06 | 23% | 27 Jul → | ||
| 13–6 | 0.07 | 17% | 26 Jul → | ||
| 13–8 | -0.01 | 11% | 26 Jul → | ||
| 15–15 | 0.02 | 18% | 26 Jul → | ||
| 13–8 | -0.04 | 15% | 24 Jul → | ||
| 7–13 | -0.03 | 4% | 24 Jul → | ||
| 13–7 | 0.03 | 24% | 23 Jul → | ||
| 13–7 | -0.01 | 12% | 23 Jul → | ||
| 10–13 | -0.07 | 10% | 23 Jul → | ||
| 16–14 | -0.03 | 21% | 23 Jul → | ||
| 14–16 | -0.05 | 8% | 23 Jul → | ||
| 13–10 | -0.10 | 25% | 22 Jul → | ||
| 7–13 | -0.02 | 15% | 22 Jul → | ||
| 14–16 | -0.07 | 20% | 20 Jul → | ||
| 7–13 | -0.04 | 15% | 20 Jul → | ||
| 7–13 | -0.01 | 15% | 16 Jul → | ||
| 13–9 | -0.03 | 0% | 16 Jul → | ||
| 3–13 | -0.06 | 22% | 16 Jul → | ||
| 13–7 | 0.05 | 12% | 14 Jul → | ||
| 9–13 | -0.03 | 12% | 14 Jul → | ||
| 13–6 | -0.05 | 16% | 14 Jul → | ||
| 13–11 | -0.08 | 12% | 13 Jul → | ||
| 9–13 | -0.05 | 16% | 13 Jul → | ||
| 16–13 | -0.03 | 22% | 11 Jul → | ||
| 12–16 | -0.05 | 6% | 11 Jul → | ||
| 13–4 | 0.01 | 10% | 11 Jul → | ||
| 10–13 | -0.07 | 20% | 11 Jul → | ||
| 3–13 | -0.10 | 18% | 1 Jul → | ||
| 13–8 | -0.06 | 11% | 1 Jul → | ||
| 10–13 | 0.10 | 15% | 30 Jun → | ||
| 9–13 | -0.03 | 6% | 30 Jun → | ||
| 13–5 | -0.09 | 30% | 29 Jun → | ||
| 13–3 | -0.05 | 11% | 29 Jun → | ||
| 11–13 | 0.02 | 10% | 29 Jun → | ||
| 5–13 | -0.04 | 21% | 27 Jun → | ||
| 13–2 | 0.00 | 13% | 26 Jun → | ||
| 13–10 | -0.02 | 14% | 26 Jun → | ||
| 9–13 | -0.05 | 13% | 26 Jun → | ||
| 13–5 | 0.08 | 13% | 25 Jun → | ||
| 7–13 | 0.02 | 7% | 25 Jun → | ||
| 11–13 | -0.02 | 11% | 25 Jun → | ||
| office | 11–13 | -0.03 | 5% | 25 Jun → | |
| 12–12 | -0.04 | 15% | 25 Jun → | ||
| 9–13 | -0.05 | 6% | 24 Jun → | ||
| 13–11 | -0.01 | 25% | 23 Jun → | ||
| 15–15 | -0.02 | 12% | 23 Jun → | ||
| 7–13 | -0.09 | 9% | 22 Jun → | ||
| 11–13 | -0.08 | 17% | 20 Jun → | ||
| 13–11 | -0.03 | 24% | 20 Jun → | ||
| 3–13 | -0.01 | 6% | 20 Jun → | ||
| 13–7 | -0.07 | 21% | 20 Jun → | ||
| 15–15 | -0.04 | 9% | 20 Jun → | ||
| 11–13 | -0.08 | 10% | 20 Jun → | ||
| 13–10 | -0.00 | 15% | 19 Jun → | ||
| 13–10 | -0.04 | 18% | 19 Jun → | ||
| 1–13 | -0.04 | 14% | 17 Jun → | ||
| 13–11 | -0.02 | 11% | 14 Jun → | ||
| 13–9 | -0.02 | 20% | 14 Jun → | ||
| 13–10 | 0.00 | 15% | 14 Jun → | ||
| 13–8 | 0.04 | 15% | 14 Jun → | ||
| 13–10 | -0.04 | 13% | 14 Jun → | ||
| 11–2 | 0.07 | 13% | 14 Jun → | ||
| office | 12–12 | 0.01 | 14% | 13 Jun → | |
| office | 3–13 | -0.09 | 13% | 13 Jun → |
Match data via Leetify.
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