idontmugipug — CS2 Stats
CA76561198149814687[U:1:189548959]Steam profile ↗
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=607), 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 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 38.6% | 42.1% | 42.5% | 3.8% short |
| Shot accuracy | 17.5% | 12.1% | 10.9% | above |
| Kill/death ratio | 0.84 | 0.99 | 0.99 | 0.15 short |
| Match win rate | 39.6% | 43.9% | 44.2% | 4.6% short |
This profile matches the typical Level 4 player on 1 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 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: +0pp win rate · -0.03 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Excellent counter-strafingEffective flashes
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 s1mple 89% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile; lower utility contribution.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 686ms 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 (×0.95 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 |
|---|---|---|---|---|---|
| C | 31 | 13–18 | 42% | 0.00 | |
| C | 29 | 11–18 | 38% | 0.02 | |
| B | 13 | 7–6 | 54% | 0.04 | |
| A | 11 | 7–4 | 64% | 0.05 | |
| A | 11 | 6–5 | 55% | 0.01 | |
| — | 4 | 1–3 | 25% | -0.03 | |
| — | 1 | 1–0 | 100% | -0.04 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (38% over 29). Start with the 6 essential Dust 2 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.
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.
38% win rate across 29 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.09 | 7% | 23 Aug → | ||
| 10–13 | 0.06 | 6% | 23 Aug → | ||
| 6–13 | 0.03 | 20% | 22 Aug → | ||
| 9–13 | 0.12 | 20% | 21 Aug → | ||
| 13–7 | 0.06 | 20% | 21 Aug → | ||
| 13–10 | 0.01 | 11% | 21 Aug → | ||
| 8–13 | -0.05 | 23% | 21 Aug → | ||
| 2–13 | -0.02 | 23% | 20 Aug → | ||
| 13–7 | -0.01 | 11% | 20 Aug → | ||
| 13–6 | -0.03 | 29% | 16 Aug → | ||
| 4–13 | 0.04 | 23% | 16 Aug → | ||
| 2–10 | -0.02 | 13% | 16 Aug → | ||
| 13–6 | 0.02 | 18% | 15 Aug → | ||
| 13–0 | 0.09 | 43% | 12 Aug → | ||
| 13–7 | 0.09 | 29% | 10 Aug → | ||
| 4–13 | 0.06 | 15% | 24 Jul → | ||
| 13–3 | 0.10 | 21% | 24 Jul → | ||
| 12–12 | 0.09 | 24% | 24 Jul → | ||
| 10–13 | 0.06 | 23% | 18 Jul → | ||
| 11–1 | 0.03 | 7% | 15 Jul → | ||
| 13–1 | 0.17 | 13% | 15 Jul → | ||
| 8–13 | 0.09 | 11% | 15 Jul → | ||
| 13–2 | 0.17 | 10% | 15 Jul → | ||
| 10–13 | 0.01 | 6% | 14 Jul → | ||
| 7–13 | 0.03 | 15% | 14 Jul → | ||
| 12–0 | 0.23 | 23% | 14 Jul → | ||
| 13–5 | 0.15 | 14% | 14 Jul → | ||
| 13–11 | 0.14 | 13% | 13 Jul → | ||
| 13–10 | 0.15 | 9% | 13 Jul → | ||
| 12–12 | 0.06 | 15% | 7 Jul → | ||
| 10–13 | -0.03 | 14% | 6 Jul → | ||
| 12–12 | -0.04 | 4% | 6 Jul → | ||
| 8–13 | 0.08 | 10% | 6 Jul → | ||
| 10–13 | 0.04 | 10% | 6 Jul → | ||
| 13–8 | 0.01 | 12% | 6 Jul → | ||
| 13–5 | -0.01 | 8% | 5 Jul → | ||
| 11–13 | 0.03 | 9% | 9 Apr → | ||
| 8–13 | 0.03 | 11% | 8 Apr → | ||
| 13–7 | 0.07 | 20% | 8 Apr → | ||
| 13–11 | 0.03 | 21% | 8 Apr → | ||
| 8–13 | -0.03 | 11% | 8 Apr → | ||
| 10–13 | -0.01 | 3% | 8 Apr → | ||
| 7–13 | -0.05 | 6% | 6 Apr → | ||
| 1–13 | -0.14 | 7% | 6 Apr → | ||
| 12–12 | -0.08 | 18% | 16 Mar → | ||
| 13–9 | -0.06 | 15% | 16 Mar → | ||
| 13–10 | 0.04 | 23% | 16 Mar → | ||
| 13–11 | -0.06 | 16% | 16 Mar → | ||
| 9–6 | -0.04 | 21% | 16 Mar → | ||
| 3–13 | 0.00 | 18% | 12 Mar → | ||
| 13–5 | 0.10 | 38% | 11 Mar → | ||
| 13–6 | -0.02 | 0% | 11 Mar → | ||
| 8–13 | 0.05 | 14% | 11 Mar → | ||
| 9–13 | 0.03 | 30% | 11 Mar → | ||
| 8–13 | 0.08 | 29% | 10 Mar → | ||
| 13–11 | 0.01 | 23% | 9 Mar → | ||
| 6–13 | -0.03 | 0% | 9 Mar → | ||
| 16–14 | -0.04 | 18% | 8 Mar → | ||
| 13–11 | 0.01 | 11% | 8 Mar → | ||
| 7–13 | 0.04 | 13% | 8 Mar → | ||
| 11–13 | -0.02 | 21% | 8 Mar → | ||
| 13–6 | 0.12 | 9% | 7 Mar → | ||
| 13–10 | -0.01 | 12% | 4 Mar → | ||
| 16–13 | 0.01 | 9% | 3 Mar → | ||
| 6–13 | 0.01 | 30% | 3 Mar → | ||
| 13–7 | 0.04 | 16% | 3 Mar → | ||
| 8–13 | 0.01 | 14% | 1 Mar → | ||
| 13–5 | -0.01 | 7% | 1 Mar → | ||
| 13–4 | 0.11 | 12% | 1 Mar → | ||
| 16–13 | 0.08 | 11% | 1 Mar → | ||
| 13–0 | 0.14 | 12% | 1 Mar → | ||
| 13–5 | 0.04 | 10% | 1 Mar → | ||
| 11–3 | 0.04 | 11% | 1 Mar → | ||
| 6–0 | -0.00 | 0% | 1 Mar → | ||
| 12–12 | 0.02 | 12% | 1 Mar → | ||
| 8–13 | -0.10 | 11% | 1 Mar → | ||
| 13–10 | -0.01 | 15% | 28 Feb → | ||
| 10–13 | 0.11 | 10% | 28 Feb → | ||
| 7–13 | 0.03 | 16% | 28 Feb → | ||
| 10–16 | -0.03 | 23% | 30 Jul → | ||
| 12–16 | 0.01 | 17% | 15 Jul → | ||
| 15–15 | -0.03 | 16% | 15 Jul → | ||
| 10–16 | -0.06 | 6% | 15 Jul → | ||
| 6–16 | -0.08 | 13% | 14 Jul → | ||
| 14–16 | -0.05 | 24% | 13 Jul → | ||
| 16–13 | -0.04 | 24% | 13 Jul → | ||
| 16–14 | -0.01 | 28% | 11 Jul → | ||
| 16–8 | 0.03 | 26% | 11 Jul → | ||
| 8–16 | -0.05 | 15% | 10 Jul → | ||
| 7–16 | -0.04 | 13% | 3 Jul → | ||
| 4–16 | -0.03 | 14% | 2 Jul → | ||
| 6–16 | -0.02 | 7% | 2 Jul → | ||
| 5–16 | -0.10 | 3% | 30 Jun → | ||
| 4–16 | -0.12 | 15% | 29 Jun → | ||
| 8–16 | -0.05 | 28% | 29 Jun → | ||
| 16–10 | 0.04 | 18% | 27 Jun → | ||
| 9–16 | -0.05 | 6% | 27 Jun → | ||
| 12–16 | -0.10 | 18% | 26 Jun → | ||
| 16–5 | -0.04 | 11% | 26 Jun → | ||
| 10–16 | -0.07 | 13% | 26 Jun → |
Match data via Leetify.