FudgeKaKes — CS2 Stats
US76561198092663921[U:1:132398193]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
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 65% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower aim profile; lower utility contribution.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 711ms 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 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 15 | 11–4 | 73% | -0.01 | |
| A | 14 | 9–5 | 64% | -0.02 | |
| S | 12 | 8–4 | 67% | -0.03 | |
| B | 12 | 6–6 | 50% | -0.01 | |
| B | 8 | 4–4 | 50% | -0.04 | |
| office | A | 8 | 5–3 | 63% | -0.04 |
| C | 7 | 3–4 | 43% | -0.04 | |
| A | 5 | 3–2 | 60% | -0.00 | |
| — | 4 | 3–1 | 75% | 0.03 | |
| thera | — | 3 | 1–2 | 33% | -0.06 |
| palais | — | 2 | 1–1 | 50% | -0.01 |
| basalt | — | 2 | 0–2 | 0% | -0.02 |
| mills | — | 2 | 2–0 | 100% | 0.04 |
| stronghold | — | 1 | 0–1 | 0% | -0.09 |
| golden | — | 1 | 1–0 | 100% | 0.02 |
| whistle | — | 1 | 0–1 | 0% | -0.04 |
| edin | — | 1 | 0–1 | 0% | -0.09 |
| italy | — | 1 | 1–0 | 100% | 0.02 |
| — | 1 | 1–0 | 100% | -0.03 |
Across the last 100 tracked matches.
Vertigo is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Vertigo 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 12.5211° — 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 13.0266% — below the 15% mark we flag
- 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 710.5236ms — above the 700ms mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| stronghold | 10–13 | -0.09 | 4% | 19 Mar → | |
| golden | 13–0 | 0.02 | 7% | 9 Oct → | |
| 13–8 | -0.03 | 10% | 19 Jan → | ||
| 8–13 | -0.09 | 6% | 2 Jan → | ||
| 7–13 | -0.10 | 6% | 1 Jan → | ||
| whistle | 8–8 | -0.04 | 14% | 27 Nov → | |
| palais | 9–5 | 0.08 | 24% | 27 Nov → | |
| 12–12 | -0.01 | 15% | 26 Nov → | ||
| basalt | 12–12 | 0.05 | 10% | 19 Nov → | |
| palais | 8–8 | -0.11 | 17% | 19 Nov → | |
| basalt | 8–13 | -0.09 | 4% | 15 Nov → | |
| 13–3 | -0.00 | 7% | 15 Nov → | ||
| edin | 4–11 | -0.09 | 19% | 14 Nov → | |
| 13–3 | 0.00 | 9% | 14 Nov → | ||
| 13–1 | 0.11 | 13% | 14 Nov → | ||
| 10–13 | -0.01 | 17% | 13 Nov → | ||
| 7–13 | -0.02 | 24% | 13 Nov → | ||
| 13–9 | -0.04 | 18% | 13 Nov → | ||
| mills | 13–10 | 0.03 | 18% | 5 Nov → | |
| 4–0 | 0.10 | 15% | 5 Nov → | ||
| thera | 12–12 | -0.04 | 21% | 5 Nov → | |
| 15–15 | -0.04 | 11% | 4 Nov → | ||
| 13–7 | 0.01 | 13% | 4 Nov → | ||
| 12–12 | 0.01 | 26% | 1 Nov → | ||
| 5–13 | -0.01 | 22% | 28 Oct → | ||
| 13–8 | -0.00 | 8% | 28 Oct → | ||
| 13–11 | 0.01 | 6% | 22 Oct → | ||
| 13–2 | -0.04 | 15% | 22 Oct → | ||
| office | 8–13 | -0.00 | 16% | 22 Oct → | |
| 13–0 | 0.03 | 16% | 20 Oct → | ||
| office | 12–12 | -0.07 | 13% | 19 Oct → | |
| thera | 11–13 | -0.08 | 4% | 17 Oct → | |
| 13–1 | 0.03 | 26% | 16 Oct → | ||
| 5–13 | -0.05 | 16% | 16 Oct → | ||
| thera | 13–6 | -0.06 | 9% | 15 Oct → | |
| mills | 13–6 | 0.04 | 9% | 15 Oct → | |
| 13–10 | -0.00 | 11% | 15 Oct → | ||
| 10–13 | -0.00 | 31% | 15 Oct → | ||
| 6–13 | -0.01 | 14% | 14 Oct → | ||
| 13–10 | -0.01 | 25% | 14 Oct → | ||
| 13–8 | -0.00 | 20% | 13 Oct → | ||
| 13–10 | -0.06 | 2% | 13 Oct → | ||
| office | 12–12 | -0.02 | 13% | 12 Oct → | |
| office | 13–4 | -0.02 | 15% | 12 Oct → | |
| 13–7 | 0.01 | 12% | 11 Oct → | ||
| 15–15 | 0.01 | 22% | 11 Oct → | ||
| 13–6 | -0.04 | 20% | 11 Oct → | ||
| office | 13–2 | -0.01 | 16% | 10 Oct → | |
| office | 13–10 | -0.04 | 10% | 10 Oct → | |
| 7–13 | -0.01 | 15% | 9 Oct → | ||
| 13–8 | 0.02 | 16% | 9 Oct → | ||
| 13–7 | 0.05 | 12% | 8 Oct → | ||
| 7–13 | -0.02 | 19% | 8 Oct → | ||
| 6–13 | -0.07 | 12% | 7 Oct → | ||
| 7–13 | -0.06 | 8% | 7 Oct → | ||
| 13–10 | 0.00 | 15% | 7 Oct → | ||
| 10–13 | -0.10 | 4% | 4 Oct → | ||
| office | 13–8 | -0.05 | 15% | 3 Oct → | |
| italy | 13–8 | 0.02 | 15% | 3 Oct → | |
| 13–6 | 0.04 | 10% | 1 Oct → | ||
| 13–11 | -0.01 | 17% | 1 Oct → | ||
| 13–2 | -0.01 | 9% | 1 Oct → | ||
| 6–13 | -0.01 | 21% | 30 Sept → | ||
| 13–10 | -0.04 | 13% | 29 Sept → | ||
| 7–13 | -0.06 | 17% | 29 Sept → | ||
| office | 13–5 | -0.07 | 11% | 29 Sept → | |
| 9–13 | 0.00 | 11% | 29 Sept → | ||
| 13–2 | 0.13 | 4% | 29 Sept → | ||
| 16–14 | -0.06 | 9% | 26 Sept → | ||
| 13–9 | 0.03 | 13% | 26 Sept → | ||
| 13–2 | -0.06 | 10% | 25 Sept → | ||
| 13–7 | -0.01 | 13% | 25 Sept → | ||
| 13–3 | -0.04 | 12% | 25 Sept → | ||
| 7–13 | -0.10 | 13% | 24 Sept → | ||
| 13–10 | -0.10 | 5% | 24 Sept → | ||
| 13–2 | 0.00 | 15% | 24 Sept → | ||
| 11–13 | -0.05 | 9% | 24 Sept → | ||
| 13–3 | 0.09 | 34% | 23 Sept → | ||
| 10–13 | -0.12 | 17% | 22 Sept → | ||
| 13–11 | -0.04 | 23% | 22 Sept → | ||
| 13–10 | -0.07 | 13% | 22 Sept → | ||
| 13–4 | 0.01 | 19% | 21 Sept → | ||
| 13–9 | -0.06 | 14% | 20 Sept → | ||
| 13–10 | -0.03 | 11% | 20 Sept → | ||
| 16–13 | 0.01 | 28% | 20 Sept → | ||
| 13–2 | -0.04 | 19% | 19 Sept → | ||
| 13–7 | -0.04 | 22% | 19 Sept → | ||
| 13–3 | 0.01 | 18% | 19 Sept → | ||
| 11–13 | -0.07 | 13% | 18 Sept → | ||
| 16–13 | 0.02 | 15% | 18 Sept → | ||
| 13–11 | -0.01 | 9% | 17 Sept → | ||
| 8–13 | -0.01 | 12% | 17 Sept → | ||
| 9–13 | -0.06 | 12% | 16 Sept → | ||
| 13–4 | -0.05 | 17% | 16 Sept → | ||
| 13–4 | -0.03 | 2% | 12 Sept → | ||
| 11–13 | -0.07 | 13% | 9 Sept → | ||
| 1–13 | -0.05 | 19% | 9 Sept → | ||
| 6–13 | -0.03 | 5% | 2 Sept → | ||
| 16–14 | -0.01 | 14% | 2 Sept → | ||
| 5–13 | -0.11 | 9% | 31 Aug → |
Match data via Leetify.