slime boy — CS2 Stats
76561198112281316[U:1:152015588]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent counter-strafingLimited utility dependence
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 ropz 90% playstyle similarity
Most alike: positioning profile, opening-duel success.
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
Strengths
Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 11.6° off target when enemies appear — placement, not flicking, is the bigger win available.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 623ms 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 6.4/10 (Solid), 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 |
|---|---|---|---|---|---|
| S | 32 | 21–11 | 66% | 0.01 | |
| C | 20 | 8–12 | 40% | 0.01 | |
| B | 17 | 8–9 | 47% | 0.02 | |
| B | 8 | 4–4 | 50% | 0.02 | |
| D | 6 | 2–4 | 33% | 0.05 | |
| B | 6 | 3–3 | 50% | 0.05 | |
| B | 6 | 3–3 | 50% | 0.02 | |
| — | 2 | 1–1 | 50% | 0.02 | |
| — | 1 | 1–0 | 100% | 0.08 | |
| alpine | — | 1 | 1–0 | 100% | 0.05 |
| office | — | 1 | 1–0 | 100% | 0.11 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient 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 |
|---|---|---|---|---|
| Mirage | 6 | 83% | 0.93 | 17.0 |
| Dust2 | 3 | 100% | 1.25 | 13.7 |
| Inferno | 2 | 50% | 1.04 | 17.0 |
| Anubis | 1 | 100% | 0.79 | 11.0 |
| Nuke | 1 | 100% | 1.78 | 16.0 |
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.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.08 | 17% | 15 May → | ||
| 13–6 | -0.00 | 25% | 20 Apr → | ||
| 13–10 | 0.01 | 23% | 20 Apr → | ||
| 13–10 | 0.01 | 22% | 19 Apr → | ||
| 13–3 | 0.06 | 32% | 19 Apr → | ||
| 5–13 | 0.03 | 9% | 13 Apr → | ||
| 13–7 | 0.03 | 26% | 12 Apr → | ||
| 11–13 | -0.03 | 23% | 12 Apr → | ||
| 15–15 | 0.06 | 20% | 11 Apr → | ||
| 9–13 | 0.01 | 28% | 11 Apr → | ||
| 11–13 | 0.03 | 22% | 10 Apr → | ||
| 13–11 | 0.01 | 25% | 10 Apr → | ||
| 13–6 | -0.05 | 32% | 8 Apr → | ||
| 13–11 | -0.03 | 20% | 8 Apr → | ||
| 11–13 | 0.03 | 36% | 8 Apr → | ||
| 13–7 | 0.02 | 45% | 1 Apr → | ||
| 11–13 | -0.06 | 11% | 1 Apr → | ||
| 10–13 | -0.01 | 17% | 1 Apr → | ||
| 13–6 | 0.00 | 36% | 27 Mar → | ||
| 2–13 | -0.02 | 56% | 27 Mar → | ||
| 0–6 | -0.02 | 40% | 27 Mar → | ||
| alpine | 10–10 | 0.05 | 27% | 27 Mar → | |
| 9–13 | 0.01 | 31% | 27 Mar → | ||
| 13–7 | 0.04 | 30% | 27 Mar → | ||
| 13–8 | 0.01 | 22% | 26 Mar → | ||
| 13–10 | -0.03 | 5% | 26 Mar → | ||
| 6–13 | 0.02 | 37% | 26 Mar → | ||
| 13–11 | 0.07 | 16% | 21 Mar → | ||
| 13–6 | 0.00 | 12% | 20 Mar → | ||
| 4–13 | 0.02 | 17% | 18 Mar → | ||
| 11–13 | -0.00 | 11% | 17 Mar → | ||
| 13–10 | 0.05 | 10% | 12 Mar → | ||
| 6–13 | -0.02 | 8% | 12 Mar → | ||
| 9–13 | -0.04 | 15% | 8 Mar → | ||
| 13–10 | 0.07 | 36% | 8 Mar → | ||
| 9–13 | 0.09 | 18% | 7 Mar → | ||
| 13–9 | -0.03 | 21% | 7 Mar → | ||
| 13–10 | 0.07 | 15% | 6 Mar → | ||
| 12–16 | 0.00 | 11% | 6 Mar → | ||
| 15–15 | -0.05 | 32% | 6 Mar → | ||
| 10–13 | 0.06 | 15% | 5 Mar → | ||
| 10–13 | -0.01 | 20% | 24 Feb → | ||
| 13–8 | 0.07 | 16% | 19 Feb → | ||
| 3–12 | 0.04 | 21% | 19 Feb → | ||
| 13–7 | 0.02 | 13% | 19 Feb → | ||
| 7–13 | 0.06 | 31% | 19 Feb → | ||
| 13–4 | 0.00 | 46% | 18 Feb → | ||
| 13–16 | 0.04 | 20% | 18 Feb → | ||
| 7–13 | -0.00 | 22% | 18 Feb → | ||
| 13–10 | 0.03 | 23% | 16 Feb → | ||
| 16–13 | 0.05 | 18% | 16 Feb → | ||
| 13–8 | 0.07 | 17% | 16 Feb → | ||
| 10–13 | -0.03 | 41% | 16 Feb → | ||
| office | 13–5 | 0.11 | 15% | 16 Feb → | |
| 13–5 | 0.06 | 14% | 16 Feb → | ||
| 13–8 | 0.04 | 11% | 14 Feb → | ||
| 13–0 | 0.02 | 84% | 14 Feb → | ||
| 7–13 | 0.04 | 29% | 14 Feb → | ||
| 13–10 | 0.12 | 14% | 14 Feb → | ||
| 13–7 | 0.10 | 27% | 14 Feb → | ||
| 11–13 | 0.01 | 9% | 14 Feb → | ||
| 6–13 | -0.04 | 11% | 12 Feb → | ||
| 4–13 | -0.08 | 24% | 11 Feb → | ||
| 13–8 | 0.11 | 20% | 9 Feb → | ||
| 3–13 | 0.03 | 18% | 9 Feb → | ||
| 15–15 | 0.04 | 16% | 9 Feb → | ||
| 11–13 | -0.00 | 8% | 9 Feb → | ||
| 15–15 | 0.09 | 25% | 8 Feb → | ||
| 13–5 | -0.02 | 13% | 8 Feb → | ||
| 13–2 | 0.06 | 12% | 8 Feb → | ||
| 8–13 | -0.06 | 23% | 8 Feb → | ||
| 11–13 | -0.02 | 10% | 8 Feb → | ||
| 13–2 | 0.15 | 19% | 8 Feb → | ||
| 16–12 | 0.09 | 18% | 7 Feb → | ||
| 13–2 | 0.08 | 23% | 7 Feb → | ||
| 13–5 | -0.01 | 14% | 7 Feb → | ||
| 13–10 | 0.02 | 18% | 7 Feb → | ||
| 13–7 | 0.03 | 22% | 7 Feb → | ||
| 13–9 | 0.06 | 21% | 6 Feb → | ||
| 13–4 | -0.06 | 16% | 6 Feb → | ||
| 16–14 | -0.02 | 21% | 6 Feb → | ||
| 13–10 | -0.00 | 9% | 6 Feb → | ||
| 13–9 | 0.04 | 17% | 6 Feb → | ||
| 4–2 | 0.23 | 13% | 6 Feb → | ||
| 11–13 | -0.01 | 23% | 5 Feb → | ||
| 13–9 | -0.03 | 17% | 5 Feb → | ||
| 5–13 | -0.02 | 21% | 5 Feb → | ||
| 13–10 | -0.04 | 23% | 5 Feb → | ||
| 9–13 | -0.02 | 13% | 4 Feb → | ||
| 13–3 | 0.03 | 18% | 4 Feb → | ||
| 7–13 | 0.01 | 13% | 4 Feb → | ||
| 13–9 | 0.07 | 16% | 4 Feb → | ||
| 6–13 | 0.06 | 33% | 4 Feb → | ||
| 5–13 | -0.02 | 16% | 4 Feb → | ||
| 6–13 | -0.01 | 3% | 4 Feb → | ||
| 11–13 | -0.01 | 26% | 4 Feb → | ||
| 13–3 | 0.02 | 24% | 4 Feb → | ||
| 5–13 | -0.05 | 24% | 4 Feb → | ||
| 8–13 | 0.04 | 27% | 4 Feb → | ||
| 13–9 | -0.00 | 20% | 3 Feb → |
Match data via Leetify.