!(周 润 发) — CS2 Stats
76561198094708223[U:1:134442495]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.03 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Excellent counter-strafingReliable 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 ZywOo 93% playstyle similarity
Most alike: positioning profile, utility contribution.
Where you differ: 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
Strengths
Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Reaction time. 644ms 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 7.2/10 (Strong), 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 |
|---|---|---|---|---|---|
 inferno | A | 33 | 18–15 | 55% | 0.03 |
 mirage | B | 31 | 16–15 | 52% | 0.03 |
 dust2 | C | 24 | 10–14 | 42% | 0.02 |
 nuke | — | 3 | 1–2 | 33% | 0.01 |
 train | — | 2 | 1–1 | 50% | 0.02 |
 ancient | — | 2 | 1–1 | 50% | -0.08 |
 vertigo | — | 2 | 1–1 | 50% | -0.01 |
 anubis | — | 1 | 1–0 | 100% | -0.05 |
 overpass | — | 1 | 0–1 | 0% | -0.01 |
| office | — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (42% over 24). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 1 | 100% | 0.62 | 10.0 |
| Inferno | 1 | 100% | 1.18 | 13.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
42% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 13–7 | -0.04 | 21% | 4 Oct → | |
| train | 13–9 | 0.09 | 35% | 26 Apr → | |
| mirage | 10–13 | 0.00 | 24% | 23 Apr → | |
| mirage | 13–3 | 0.09 | 26% | 9 Apr → | |
| ancient | 3–13 | -0.14 | 11% | 5 Apr → | |
| dust2 | 8–13 | 0.02 | 29% | 5 Apr → | |
| dust2 | 13–7 | 0.02 | 35% | 4 Apr → | |
| inferno | 9–13 | 0.02 | 31% | 4 Apr → | |
| dust2 | 11–13 | 0.02 | 26% | 7 Feb → | |
| mirage | 6–13 | -0.04 | 28% | 5 Feb → | |
| train | 6–13 | -0.05 | 33% | 31 Jan → | |
| mirage | 13–10 | 0.03 | 43% | 31 Jan → | |
| vertigo | 13–10 | 0.04 | 36% | 23 Oct → | |
| inferno | 13–9 | 0.18 | 34% | 22 Oct → | |
| inferno | 8–13 | -0.04 | 24% | 18 Oct → | |
| mirage | 13–10 | 0.06 | 39% | 26 Aug → | |
| ancient | 13–9 | -0.02 | 25% | 5 Aug → | |
| mirage | 13–8 | 0.01 | 23% | 27 Jul → | |
| mirage | 13–11 | -0.00 | 41% | 26 Jul → | |
| mirage | 13–3 | 0.12 | 21% | 24 Jul → | |
| dust2 | 8–13 | -0.02 | 33% | 24 Jul → | |
| inferno | 13–9 | 0.02 | 24% | 23 Jul → | |
| anubis | 13–5 | -0.05 | 18% | 20 Jul → | |
| dust2 | 3–13 | -0.02 | 33% | 18 Jul → | |
| dust2 | 8–3 | 0.04 | 40% | 14 Jul → | |
| dust2 | 13–10 | -0.05 | 24% | 14 Jul → | |
| dust2 | 3–13 | 0.04 | 60% | 13 Jul → | |
| inferno | 16–14 | 0.04 | 64% | 10 Jul → | |
| mirage | 6–13 | -0.06 | 29% | 7 Jul → | |
| dust2 | 13–6 | 0.01 | 22% | 5 Jul → | |
| dust2 | 10–13 | -0.05 | 18% | 4 Jul → | |
| mirage | 13–10 | 0.03 | 34% | 4 Jul → | |
| nuke | 0–6 | -0.02 | 100% | 4 Jul → | |
| nuke | 8–13 | 0.02 | 30% | 13 Feb → | |
| mirage | 13–11 | -0.00 | 50% | 13 Feb → | |
| vertigo | 7–13 | -0.06 | 22% | 1 Feb → | |
| inferno | 13–11 | 0.08 | 23% | 27 Dec → | |
| nuke | 13–7 | 0.04 | 33% | 19 Dec → | |
| overpass | 5–13 | -0.01 | 44% | 5 Sept → | |
| inferno | 13–8 | -0.06 | 23% | 5 Sept → | |
| mirage | 9–13 | 0.02 | 45% | 1 Sept → | |
| inferno | 8–16 | 0.09 | 22% | 29 Aug → | |
| inferno | 11–16 | 0.03 | 35% | 25 Aug → | |
| dust2 | 12–16 | 0.04 | 32% | 25 Aug → | |
| inferno | 16–9 | 0.00 | 27% | 20 Aug → | |
| mirage | 16–9 | 0.09 | 45% | 13 Aug → | |
| dust2 | 16–14 | 0.05 | 29% | 10 Aug → | |
| mirage | 16–5 | 0.08 | 22% | 10 Aug → | |
| office | 8–16 | 0.02 | 44% | 7 Aug → | |
| inferno | 16–11 | -0.04 | 17% | 7 Aug → | |
| dust2 | 16–13 | 0.05 | 21% | 7 Aug → | |
| mirage | 9–16 | 0.06 | 33% | 6 Aug → | |
| dust2 | 9–16 | 0.08 | 36% | 6 Aug → | |
| inferno | 16–7 | 0.01 | 28% | 5 Aug → | |
| dust2 | 16–9 | 0.06 | 33% | 5 Aug → | |
| inferno | 11–16 | 0.03 | 34% | 4 Aug → | |
| inferno | 16–13 | 0.09 | 33% | 3 Aug → | |
| dust2 | 12–16 | -0.01 | 31% | 3 Aug → | |
| inferno | 16–14 | 0.01 | 31% | 3 Aug → | |
| inferno | 11–16 | 0.09 | 46% | 30 Jul → | |
| inferno | 2–16 | -0.05 | 30% | 29 Jul → | |
| inferno | 6–2 | -0.08 | 17% | 29 Jul → | |
| dust2 | 12–16 | 0.06 | 33% | 29 Jul → | |
| mirage | 16–12 | 0.05 | 25% | 29 Jul → | |
| inferno | 5–16 | -0.03 | 17% | 26 Jul → | |
| inferno | 16–12 | 0.05 | 18% | 26 Jul → | |
| mirage | 4–16 | -0.02 | 10% | 24 Jul → | |
| inferno | 12–0 | 0.15 | 21% | 24 Jul → | |
| mirage | 9–16 | -0.03 | 18% | 23 Jul → | |
| inferno | 11–16 | -0.05 | 20% | 23 Jul → | |
| mirage | 16–13 | 0.02 | 32% | 22 Jul → | |
| mirage | 16–2 | 0.02 | 27% | 22 Jul → | |
| inferno | 16–11 | 0.03 | 28% | 22 Jul → | |
| mirage | 12–16 | 0.09 | 21% | 9 Jul → | |
| dust2 | 5–16 | -0.05 | 32% | 9 Jul → | |
| dust2 | 10–16 | 0.01 | 33% | 3 Jul → | |
| inferno | 8–16 | -0.01 | 16% | 3 Jul → | |
| mirage | 16–13 | 0.06 | 25% | 3 Jul → | |
| dust2 | 15–15 | 0.07 | 31% | 2 Jul → | |
| mirage | 3–16 | -0.07 | 10% | 2 Jul → | |
| mirage | 12–16 | 0.15 | 45% | 2 Jul → | |
| inferno | 6–1 | 0.25 | 45% | 2 Jul → | |
| inferno | 12–16 | 0.03 | 32% | 1 Jul → | |
| inferno | 13–16 | 0.03 | 24% | 30 Jun → | |
| mirage | 15–15 | 0.07 | 36% | 30 Jun → | |
| mirage | 16–5 | 0.10 | 35% | 25 Jun → | |
| inferno | 16–8 | 0.15 | 36% | 25 Jun → | |
| dust2 | 16–12 | -0.04 | 25% | 25 Jun → | |
| mirage | 15–15 | 0.06 | 35% | 20 Jun → | |
| mirage | 14–16 | 0.08 | 35% | 19 Jun → | |
| inferno | 15–15 | 0.02 | 33% | 18 Jun → | |
| dust2 | 16–9 | 0.09 | 26% | 18 Jun → | |
| mirage | 15–15 | 0.00 | 30% | 18 Jun → | |
| inferno | 16–8 | -0.00 | 33% | 16 Jun → | |
| mirage | 15–15 | 0.02 | 21% | 16 Jun → | |
| dust2 | 11–16 | -0.01 | 25% | 11 Jun → | |
| inferno | 15–15 | -0.05 | 11% | 11 Jun → | |
| inferno | 16–14 | 0.07 | 39% | 11 Jun → | |
| dust2 | 16–11 | 0.10 | 25% | 11 Jun → | |
| inferno | 5–16 | -0.01 | 50% | 10 Jun → |
Match data via Leetify.
