MONSTERPLAYER — CS2 Stats
76561198198356439[U:1:238090711]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 donk 91% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Areas to improve
Reaction time. 557ms 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 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 26 | 17–9 | 65% | 0.02 | |
| A | 22 | 12–10 | 55% | 0.02 | |
| C | 18 | 8–10 | 44% | 0.01 | |
| S | 7 | 5–2 | 71% | 0.03 | |
| B | 6 | 3–3 | 50% | 0.01 | |
| cache_b | B | 6 | 3–3 | 50% | 0.02 |
| — | 4 | 2–2 | 50% | 0.01 | |
| — | 4 | 2–2 | 50% | 0.00 | |
| — | 4 | 2–2 | 50% | -0.00 | |
| — | 3 | 2–1 | 67% | 0.02 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (44% over 18). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 57 | 53% | 1.06 | 16.1 |
| Anubis | 44 | 52% | 1.09 | 16.2 |
| Inferno | 31 | 58% | 1.36 | 17.5 |
| Dust2 | 24 | 50% | 1.06 | 16.6 |
| Ancient | 19 | 42% | 0.91 | 15.4 |
| Vertigo | 12 | 58% | 0.97 | 13.3 |
| Nuke | 8 | 75% | 1.22 | 18.4 |
| Overpass | 5 | 40% | 0.71 | 11.4 |
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.
44% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | -0.02 | 15% | 1 Aug → | ||
| 9–13 | -0.01 | 22% | 6 Jun → | ||
| 13–11 | -0.03 | 18% | 6 Jun → | ||
| 13–8 | -0.01 | 10% | 31 May → | ||
| 7–13 | 0.08 | 32% | 30 May → | ||
| 5–13 | -0.06 | 9% | 30 May → | ||
| 16–13 | 0.12 | 17% | 30 May → | ||
| 16–19 | 0.00 | 20% | 30 May → | ||
| 13–11 | -0.02 | 18% | 29 May → | ||
| 13–9 | 0.00 | 19% | 29 May → | ||
| 13–7 | -0.02 | 23% | 29 May → | ||
| 23–25 | -0.04 | 22% | 29 May → | ||
| 15–19 | -0.04 | 24% | 29 May → | ||
| 8–13 | 0.00 | 23% | 29 May → | ||
| 11–13 | 0.01 | 23% | 28 May → | ||
| 13–11 | 0.05 | 12% | 28 May → | ||
| 13–9 | 0.01 | 13% | 28 May → | ||
| 13–10 | -0.02 | 22% | 28 May → | ||
| 13–9 | 0.02 | 27% | 28 May → | ||
| 13–8 | 0.08 | 38% | 27 May → | ||
| 13–11 | -0.03 | 23% | 27 May → | ||
| 19–15 | 0.06 | 23% | 27 May → | ||
| 13–9 | 0.02 | 21% | 26 May → | ||
| 13–2 | 0.03 | 30% | 26 May → | ||
| 7–13 | -0.01 | 21% | 26 May → | ||
| 13–0 | 0.14 | 38% | 26 May → | ||
| 13–9 | -0.01 | 18% | 26 May → | ||
| 13–8 | 0.01 | 32% | 25 May → | ||
| 12–16 | -0.02 | 24% | 25 May → | ||
| 13–9 | 0.00 | 27% | 25 May → | ||
| 16–13 | 0.05 | 27% | 25 May → | ||
| 9–13 | 0.02 | 30% | 25 May → | ||
| 13–9 | -0.01 | 17% | 24 May → | ||
| 9–13 | -0.04 | 13% | 24 May → | ||
| 16–12 | 0.07 | 19% | 24 May → | ||
| 25–28 | 0.02 | 19% | 23 May → | ||
| 13–2 | 0.09 | 21% | 23 May → | ||
| 11–13 | 0.06 | 29% | 23 May → | ||
| 8–13 | -0.05 | 12% | 23 May → | ||
| 13–11 | 0.02 | 27% | 23 May → | ||
| 13–4 | 0.19 | 29% | 23 May → | ||
| 13–4 | 0.09 | 24% | 23 May → | ||
| 6–13 | 0.03 | 29% | 22 May → | ||
| 13–6 | 0.01 | 15% | 22 May → | ||
| 13–11 | 0.04 | 37% | 22 May → | ||
| 13–7 | 0.04 | 31% | 22 May → | ||
| 13–7 | 0.02 | 23% | 22 May → | ||
| 6–13 | 0.02 | 18% | 22 May → | ||
| 8–13 | 0.00 | 22% | 21 May → | ||
| 5–13 | -0.05 | 32% | 21 May → | ||
| 13–9 | -0.00 | 30% | 4 May → | ||
| 5–13 | -0.05 | 14% | 4 May → | ||
| 13–7 | -0.02 | 24% | 4 May → | ||
| 4–13 | -0.05 | 19% | 25 Apr → | ||
| 7–13 | -0.01 | 38% | 17 Apr → | ||
| 13–5 | -0.02 | 36% | 17 Apr → | ||
| 5–13 | -0.00 | 12% | 17 Apr → | ||
| cache_b | 13–10 | 0.06 | 39% | 17 Apr → | |
| 6–13 | -0.03 | 26% | 10 Apr → | ||
| 5–13 | -0.04 | 32% | 10 Apr → | ||
| 4–13 | 0.02 | 30% | 10 Apr → | ||
| 7–13 | -0.01 | 20% | 10 Apr → | ||
| 3–13 | -0.09 | 11% | 2 Apr → | ||
| 13–10 | 0.07 | 28% | 2 Apr → | ||
| 13–7 | 0.04 | 24% | 2 Apr → | ||
| 10–13 | 0.06 | 34% | 2 Apr → | ||
| 6–13 | 0.02 | 31% | 2 Feb → | ||
| 13–8 | -0.03 | 16% | 2 Feb → | ||
| 6–13 | -0.01 | 38% | 13 Jan → | ||
| 10–13 | -0.03 | 26% | 13 Jan → | ||
| cache_b | 9–13 | 0.08 | 38% | 13 Jan → | |
| 6–13 | 0.00 | 36% | 13 Jan → | ||
| 10–13 | 0.07 | 26% | 13 Jan → | ||
| 22–18 | 0.03 | 19% | 13 Jan → | ||
| 13–3 | 0.00 | 19% | 11 Jan → | ||
| 13–5 | 0.06 | 47% | 11 Jan → | ||
| 13–10 | 0.02 | 25% | 9 Jan → | ||
| 13–9 | 0.00 | 17% | 9 Jan → | ||
| 8–13 | 0.01 | 29% | 9 Jan → | ||
| 13–8 | -0.05 | 21% | 9 Jan → | ||
| 13–6 | 0.06 | 24% | 7 Jan → | ||
| 16–12 | 0.14 | 30% | 7 Jan → | ||
| 8–2 | 0.13 | 60% | 7 Jan → | ||
| 9–13 | -0.05 | 14% | 7 Jan → | ||
| 9–13 | -0.00 | 34% | 7 Jan → | ||
| 16–13 | -0.00 | 23% | 6 Jan → | ||
| 13–11 | -0.02 | 10% | 6 Jan → | ||
| 6–13 | -0.04 | 11% | 5 Jan → | ||
| 9–13 | 0.00 | 22% | 5 Jan → | ||
| cache_b | 13–11 | 0.01 | 22% | 5 Jan → | |
| 13–9 | 0.07 | 35% | 29 Dec → | ||
| 10–13 | 0.02 | 30% | 27 Dec → | ||
| 13–9 | 0.10 | 31% | 27 Dec → | ||
| 13–9 | 0.03 | 25% | 27 Dec → | ||
| 13–4 | 0.05 | 31% | 27 Dec → | ||
| cache_b | 13–6 | 0.03 | 25% | 27 Dec → | |
| 13–8 | 0.01 | 22% | 27 Dec → | ||
| 13–10 | 0.02 | 21% | 27 Dec → | ||
| cache_b | 8–13 | -0.06 | 12% | 26 Dec → | |
| cache_b | 14–16 | 0.02 | 25% | 26 Dec → |
Match data via Leetify.