Cat Mouse — CS2 Stats
76561198109680936[U:1:149415208]Steam profile ↗✓ No bans
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 | 36.3% | 52.8% | 16.4% short |
| Shot accuracy | 17.3% | 13.7% | above |
| Kill/death ratio | 1.00 | 1.08 | 0.08 short |
| Match win rate | 44.1% | 49.2% | 5.1% short |
This profile matches the typical Level 10 player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. 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: -10pp win rate · -0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 b1t 96% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Aim. Aim score of 88 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.
Reaction time. 555ms 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 7.1/10 (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 |
|---|---|---|---|---|---|
| A | 36 | 20–16 | 56% | 0.03 | |
| A | 28 | 18–10 | 64% | 0.03 | |
| B | 13 | 6–7 | 46% | 0.03 | |
| S | 7 | 5–2 | 71% | 0.06 | |
| C | 5 | 2–3 | 40% | 0.02 | |
| — | 3 | 3–0 | 100% | 0.03 | |
| — | 2 | 0–2 | 0% | 0.01 | |
| — | 2 | 1–1 | 50% | 0.05 | |
| poseidon | — | 2 | 1–1 | 50% | 0.11 |
| — | 1 | 0–1 | 0% | -0.00 | |
| mills | — | 1 | 0–1 | 0% | -0.06 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Nuke 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 resultsWWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 47 | 66% | 1.27 | 18.1 |
| Inferno | 29 | 66% | 1.14 | 16.8 |
| Dust2 | 19 | 47% | 1.19 | 16.8 |
| Train | 12 | 42% | 1.26 | 17.9 |
| Ancient | 6 | 33% | 0.96 | 15.7 |
| Nuke | 4 | 75% | 0.98 | 14.8 |
| Anubis | 3 | 33% | 1.46 | 20.0 |
| Vertigo | 1 | 0% | 1.08 | 14.0 |
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.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–12 | 0.02 | 21% | 9 May → | ||
| 7–13 | -0.03 | 21% | 9 May → | ||
| 13–2 | 0.03 | 21% | 9 May → | ||
| 13–1 | 0.18 | 17% | 5 May → | ||
| 13–6 | 0.02 | 19% | 5 May → | ||
| 4–1 | -0.09 | 0% | 5 May → | ||
| 5–0 | -0.02 | 13% | 5 May → | ||
| 1–13 | 0.01 | 18% | 4 May → | ||
| 13–7 | 0.07 | 24% | 4 May → | ||
| 4–13 | -0.02 | 12% | 4 May → | ||
| 12–12 | 0.12 | 22% | 4 May → | ||
| 6–13 | 0.06 | 13% | 3 May → | ||
| 13–11 | 0.08 | 20% | 3 May → | ||
| 13–4 | 0.07 | 22% | 3 May → | ||
| 13–9 | 0.00 | 25% | 3 May → | ||
| 13–3 | 0.08 | 17% | 3 May → | ||
| 5–13 | 0.03 | 19% | 26 Apr → | ||
| 13–2 | -0.03 | 15% | 26 Apr → | ||
| 13–11 | -0.02 | 27% | 26 Apr → | ||
| 13–0 | 0.18 | 19% | 17 Apr → | ||
| 13–2 | 0.14 | 31% | 17 Apr → | ||
| 13–11 | 0.04 | 22% | 17 Apr → | ||
| 4–13 | 0.01 | 6% | 14 Apr → | ||
| 13–6 | -0.03 | 22% | 14 Apr → | ||
| 6–13 | 0.02 | 20% | 14 Apr → | ||
| 13–10 | 0.04 | 10% | 12 Apr → | ||
| 9–13 | 0.05 | 25% | 12 Apr → | ||
| 5–13 | -0.01 | 29% | 11 Apr → | ||
| 13–2 | 0.02 | 19% | 11 Apr → | ||
| 13–6 | 0.07 | 16% | 9 Apr → | ||
| 7–13 | 0.01 | 10% | 9 Apr → | ||
| 13–5 | -0.00 | 8% | 9 Apr → | ||
| 13–10 | 0.05 | 20% | 7 Apr → | ||
| 12–12 | 0.01 | 21% | 7 Apr → | ||
| 13–3 | 0.11 | 12% | 6 Apr → | ||
| 10–2 | 0.07 | 36% | 6 Apr → | ||
| 10–13 | 0.00 | 16% | 4 Apr → | ||
| 2–13 | -0.08 | 14% | 4 Apr → | ||
| 5–0 | 0.01 | 14% | 4 Apr → | ||
| 13–11 | 0.06 | 20% | 4 Apr → | ||
| 13–6 | 0.13 | 21% | 3 Apr → | ||
| 9–13 | -0.03 | 12% | 3 Apr → | ||
| 9–3 | 0.07 | 14% | 29 Mar → | ||
| 4–0 | 0.02 | 0% | 29 Mar → | ||
| 13–1 | 0.00 | 26% | 29 Mar → | ||
| 13–6 | 0.05 | 21% | 29 Mar → | ||
| 13–5 | 0.04 | 10% | 29 Mar → | ||
| 13–7 | 0.02 | 22% | 28 Mar → | ||
| 13–11 | 0.04 | 14% | 28 Mar → | ||
| 13–2 | 0.17 | 40% | 28 Mar → | ||
| 11–13 | 0.02 | 18% | 28 Mar → | ||
| 13–8 | 0.00 | 13% | 28 Mar → | ||
| 11–13 | 0.03 | 15% | 28 Mar → | ||
| 7–13 | -0.03 | 13% | 25 Mar → | ||
| 12–12 | 0.06 | 22% | 25 Mar → | ||
| 13–11 | 0.02 | 15% | 25 Mar → | ||
| 13–3 | 0.09 | 12% | 24 Mar → | ||
| 12–12 | 0.10 | 20% | 24 Mar → | ||
| 8–8 | 0.02 | 17% | 23 Mar → | ||
| 9–4 | 0.07 | 21% | 19 Mar → | ||
| 4–9 | -0.05 | 13% | 19 Mar → | ||
| 8–8 | 0.04 | 25% | 19 Mar → | ||
| 7–13 | 0.03 | 22% | 18 Mar → | ||
| poseidon | 9–7 | 0.13 | 10% | 17 Mar → | |
| poseidon | 8–8 | 0.10 | 22% | 17 Mar → | |
| 13–3 | 0.05 | 15% | 17 Mar → | ||
| 8–13 | 0.05 | 16% | 15 Mar → | ||
| 5–13 | -0.07 | 10% | 15 Mar → | ||
| 4–13 | -0.04 | 20% | 13 Mar → | ||
| 13–11 | 0.06 | 18% | 13 Mar → | ||
| 13–11 | 0.08 | 21% | 13 Mar → | ||
| 13–2 | 0.07 | 19% | 11 Mar → | ||
| 9–13 | 0.03 | 19% | 11 Mar → | ||
| 8–13 | 0.00 | 21% | 10 Mar → | ||
| 8–13 | 0.12 | 21% | 10 Mar → | ||
| 13–7 | 0.00 | 16% | 6 Mar → | ||
| 13–10 | 0.04 | 18% | 6 Mar → | ||
| 12–12 | 0.08 | 11% | 6 Mar → | ||
| 13–5 | 0.18 | 30% | 5 Mar → | ||
| 7–13 | 0.08 | 19% | 2 Mar → | ||
| 7–13 | 0.02 | 18% | 25 Jun → | ||
| 13–10 | -0.02 | 15% | 25 Jun → | ||
| 11–13 | -0.08 | 11% | 15 Jun → | ||
| 13–6 | 0.05 | 15% | 14 Jun → | ||
| 13–5 | 0.00 | 18% | 14 Jun → | ||
| 14–16 | -0.00 | 14% | 13 Jun → | ||
| 13–10 | 0.02 | 20% | 9 Jun → | ||
| 12–16 | 0.02 | 14% | 8 Jun → | ||
| 6–13 | -0.02 | 7% | 7 Jun → | ||
| 16–14 | 0.08 | 30% | 22 Feb → | ||
| 13–9 | 0.06 | 23% | 3 Sept → | ||
| 6–13 | 0.00 | 20% | 28 Aug → | ||
| 13–7 | -0.02 | 13% | 28 Aug → | ||
| 10–13 | -0.00 | 17% | 28 Aug → | ||
| 10–13 | -0.01 | 23% | 28 Aug → | ||
| 13–5 | 0.04 | 27% | 28 Aug → | ||
| 5–13 | -0.06 | 23% | 28 Aug → | ||
| mills | 8–13 | -0.06 | 16% | 12 Jul → | |
| 13–2 | 0.13 | 33% | 12 Jul → | ||
| 13–6 | 0.06 | 30% | 5 Sept → |
Match data via Leetify.