ChimpMonkey — CS2 Stats
76561199013200210[U:1:1052934482]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median | vs Level 10 |
|---|---|---|---|
| Headshot rate | 59.2% | 52.8% | above |
| Shot accuracy | 0.8% | 13.7% | 12.9% short |
| Kill/death ratio | 0.98 | 1.08 | 0.11 short |
| Match win rate | 44.4% | 49.2% | 4.7% short |
This profile matches the typical Level 10 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.03 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 sh1ro 94% playstyle similarity
Most alike: opening-fight frequency, 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
Areas to improve
Reaction time. 595ms 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 6.8/10 (Solid), 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 |
|---|---|---|---|---|---|
| B | 36 | 19–17 | 53% | 0.01 | |
| S | 17 | 12–5 | 71% | 0.02 | |
| A | 12 | 7–5 | 58% | 0.04 | |
| A | 11 | 7–4 | 64% | 0.03 | |
| A | 9 | 5–4 | 56% | 0.02 | |
| B | 8 | 4–4 | 50% | 0.00 | |
| — | 3 | 3–0 | 100% | 0.03 | |
| — | 3 | 1–2 | 33% | 0.01 | |
| — | 1 | 1–0 | 100% | 0.01 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (50% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 169 | 52% | 1.13 | 16.4 |
| Mirage | 74 | 55% | 1.24 | 16.0 |
| Anubis | 53 | 51% | 1.21 | 15.9 |
| Nuke | 47 | 53% | 1.11 | 17.8 |
| Inferno | 30 | 53% | 1.00 | 14.8 |
| Ancient | 27 | 48% | 1.02 | 18.0 |
| Overpass | 5 | 80% | 1.11 | 18.6 |
| Cache | 5 | 0% | 0.85 | 14.6 |
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | -0.01 | 20% | 19 Aug → | ||
| 13–8 | 0.05 | 26% | 29 Jun → | ||
| 13–10 | 0.05 | 22% | 29 Jun → | ||
| 13–8 | -0.02 | 9% | 28 Jun → | ||
| 13–2 | 0.16 | 30% | 28 Jun → | ||
| 16–14 | -0.00 | 25% | 26 Jun → | ||
| 16–12 | 0.01 | 29% | 24 Jun → | ||
| 13–8 | 0.06 | 38% | 24 Jun → | ||
| 13–11 | 0.15 | 33% | 24 Jun → | ||
| 13–10 | 0.01 | 24% | 23 Jun → | ||
| 13–7 | -0.00 | 22% | 22 Jun → | ||
| 13–6 | 0.06 | 29% | 22 Jun → | ||
| 13–6 | 0.01 | 23% | 22 Jun → | ||
| 13–11 | 0.01 | 18% | 18 Jun → | ||
| 13–3 | 0.10 | 25% | 18 Jun → | ||
| 6–13 | 0.04 | 39% | 17 Jun → | ||
| 13–6 | -0.01 | 23% | 16 Jun → | ||
| 10–13 | -0.04 | 60% | 16 Jun → | ||
| 15–15 | 0.02 | 33% | 16 Jun → | ||
| 9–5 | 0.01 | 25% | 16 Jun → | ||
| 13–2 | 0.07 | 19% | 16 Jun → | ||
| 13–7 | -0.00 | 28% | 15 Jun → | ||
| 16–13 | 0.06 | 34% | 15 Jun → | ||
| 13–10 | 0.06 | 17% | 14 Jun → | ||
| 13–7 | 0.03 | 27% | 13 Jun → | ||
| 13–10 | 0.01 | 13% | 13 Jun → | ||
| 13–4 | 0.11 | 11% | 13 Jun → | ||
| 13–9 | 0.04 | 23% | 12 Jun → | ||
| 13–8 | 0.06 | 21% | 11 Jun → | ||
| 11–3 | 0.08 | 16% | 11 Jun → | ||
| 14–16 | 0.04 | 26% | 11 Jun → | ||
| 13–5 | 0.10 | 44% | 11 Jun → | ||
| 13–16 | -0.08 | 31% | 11 Jun → | ||
| 14–16 | 0.02 | 24% | 10 Jun → | ||
| 9–13 | -0.01 | 36% | 10 Jun → | ||
| 13–4 | 0.15 | 32% | 10 Jun → | ||
| 7–13 | -0.00 | 20% | 10 Jun → | ||
| 11–13 | -0.01 | 29% | 10 Jun → | ||
| 8–13 | -0.09 | 27% | 8 Jun → | ||
| 11–13 | -0.02 | 59% | 8 Jun → | ||
| 7–13 | 0.06 | 21% | 5 Jun → | ||
| 13–3 | 0.09 | 29% | 4 Jun → | ||
| 8–13 | -0.02 | 26% | 4 Jun → | ||
| 11–13 | 0.01 | 41% | 4 Jun → | ||
| 13–11 | 0.12 | 17% | 4 Jun → | ||
| 13–7 | -0.07 | 11% | 3 Jun → | ||
| 9–13 | -0.01 | 28% | 3 Jun → | ||
| 13–5 | 0.01 | 24% | 3 Jun → | ||
| 4–13 | -0.00 | 26% | 2 Jun → | ||
| 5–13 | -0.01 | 17% | 2 Jun → | ||
| 15–15 | -0.01 | 33% | 1 Jun → | ||
| 13–1 | 0.13 | 48% | 28 May → | ||
| 10–13 | -0.02 | 23% | 28 May → | ||
| 13–7 | 0.02 | 41% | 28 May → | ||
| 6–13 | -0.04 | 20% | 25 May → | ||
| 13–7 | 0.06 | 14% | 24 May → | ||
| 6–13 | -0.04 | 13% | 22 May → | ||
| 13–5 | -0.06 | 27% | 22 May → | ||
| 13–5 | -0.01 | 26% | 21 May → | ||
| 13–2 | 0.15 | 21% | 19 May → | ||
| 13–6 | 0.02 | 33% | 19 May → | ||
| 16–13 | 0.01 | 33% | 19 May → | ||
| 11–13 | -0.01 | 26% | 18 May → | ||
| 9–13 | -0.01 | 9% | 17 May → | ||
| 5–13 | -0.05 | 19% | 17 May → | ||
| 7–13 | -0.02 | 17% | 16 May → | ||
| 13–11 | -0.01 | 23% | 15 May → | ||
| 13–5 | 0.16 | 32% | 14 May → | ||
| 9–13 | -0.02 | 20% | 14 May → | ||
| 12–0 | 0.06 | 13% | 13 May → | ||
| 11–13 | -0.03 | 28% | 12 May → | ||
| 13–7 | 0.03 | 25% | 12 May → | ||
| 13–11 | 0.04 | 15% | 12 May → | ||
| 5–13 | -0.02 | 21% | 11 May → | ||
| 7–13 | -0.05 | 14% | 11 May → | ||
| 13–8 | -0.02 | 29% | 10 May → | ||
| 11–1 | 0.00 | 20% | 10 May → | ||
| 7–13 | -0.05 | 25% | 10 May → | ||
| 13–8 | 0.02 | 31% | 9 May → | ||
| 16–14 | -0.04 | 23% | 9 May → | ||
| 4–13 | -0.02 | 25% | 8 May → | ||
| 9–13 | -0.03 | 27% | 7 May → | ||
| 11–13 | 0.01 | 16% | 6 May → | ||
| 13–4 | 0.10 | 33% | 5 May → | ||
| 7–13 | -0.01 | 22% | 4 May → | ||
| 3–13 | -0.04 | 22% | 4 May → | ||
| 11–13 | -0.03 | 21% | 4 May → | ||
| 13–6 | -0.03 | 19% | 3 May → | ||
| 16–14 | -0.01 | 15% | 29 Apr → | ||
| 8–13 | 0.02 | 35% | 29 Apr → | ||
| 13–9 | -0.06 | 23% | 28 Apr → | ||
| 13–11 | -0.03 | 17% | 28 Apr → | ||
| 25–22 | 0.02 | 10% | 28 Apr → | ||
| 13–1 | 0.08 | 24% | 27 Apr → | ||
| 4–13 | 0.00 | 38% | 27 Apr → | ||
| 13–11 | -0.01 | 23% | 26 Apr → | ||
| 15–19 | -0.04 | 27% | 25 Apr → | ||
| 16–14 | 0.01 | 37% | 24 Apr → | ||
| 13–5 | 0.11 | 27% | 24 Apr → | ||
| 9–13 | -0.02 | 20% | 24 Apr → |
Match data via Leetify.