patoodie — CS2 Stats
76561198389737018[U:1:429471290]
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 | 46.6% | 52.8% | 6.1% short |
| Shot accuracy | 8.8% | 13.7% | 4.9% short |
| Kill/death ratio | 1.28 | 1.08 | above |
| Match win rate | 48.3% | 49.2% | meets |
This profile matches the typical Level 10 player on 2 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 · +0.00 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 jL 93% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: 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
Reaction time. 567ms 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 6.1/10 (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 | 29 | 11–18 | 38% | 0.00 | |
| B | 20 | 10–10 | 50% | 0.01 | |
| A | 18 | 10–8 | 56% | 0.03 | |
| B | 11 | 5–6 | 45% | -0.02 | |
| A | 10 | 6–4 | 60% | -0.01 | |
| C | 9 | 4–5 | 44% | 0.01 | |
| — | 2 | 1–1 | 50% | -0.00 | |
| office | — | 1 | 1–0 | 100% | 0.02 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (38% over 29). Start with the 6 essential Mirage 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 resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 162 | 46% | 0.98 | 15.3 |
| Dust2 | 150 | 57% | 1.05 | 15.4 |
| Ancient | 130 | 53% | 1.13 | 17.1 |
| Inferno | 60 | 45% | 0.95 | 14.3 |
| Anubis | 59 | 56% | 1.11 | 15.8 |
| Nuke | 36 | 67% | 1.06 | 15.1 |
| Train | 14 | 43% | 0.99 | 15.5 |
| Overpass | 6 | 33% | 0.95 | 17.2 |
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.
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 | |
|---|---|---|---|---|---|
| 13–9 | 0.02 | 45% | 27 Aug → | ||
| 11–13 | -0.01 | 19% | 26 Aug → | ||
| 6–13 | -0.00 | 26% | 26 Aug → | ||
| 11–13 | 0.04 | 16% | 26 Aug → | ||
| 13–5 | 0.09 | 27% | 25 Aug → | ||
| 13–9 | 0.02 | 22% | 25 Aug → | ||
| 13–8 | 0.05 | 38% | 19 Aug → | ||
| 7–13 | -0.08 | 16% | 19 Aug → | ||
| 13–11 | -0.04 | 26% | 19 Aug → | ||
| 13–5 | -0.04 | 38% | 19 Aug → | ||
| 10–13 | -0.00 | 21% | 19 Aug → | ||
| 9–13 | 0.02 | 27% | 18 Aug → | ||
| 7–13 | 0.00 | 50% | 18 Aug → | ||
| 13–10 | 0.02 | 24% | 17 Aug → | ||
| 8–13 | -0.05 | 34% | 14 Aug → | ||
| 13–8 | 0.01 | 33% | 13 Aug → | ||
| 7–13 | 0.02 | 35% | 12 Aug → | ||
| 13–4 | 0.04 | 40% | 10 Aug → | ||
| 5–13 | -0.05 | 39% | 5 Aug → | ||
| 13–7 | 0.02 | 33% | 30 Jul → | ||
| 8–13 | -0.00 | 18% | 30 Jul → | ||
| 16–14 | -0.00 | 25% | 29 Jul → | ||
| 13–10 | 0.01 | 35% | 28 Jul → | ||
| 13–10 | 0.04 | 17% | 28 Jul → | ||
| 10–13 | -0.06 | 24% | 27 Jul → | ||
| 5–13 | 0.00 | 24% | 25 Jul → | ||
| 9–13 | -0.03 | 23% | 23 Jul → | ||
| 13–7 | 0.03 | 25% | 23 Jul → | ||
| 7–13 | -0.01 | 36% | 22 Jul → | ||
| 13–5 | -0.00 | 29% | 15 Jul → | ||
| 10–13 | -0.03 | 20% | 15 Jul → | ||
| 13–8 | 0.12 | 33% | 13 Jul → | ||
| 1–13 | 0.03 | 30% | 7 Jul → | ||
| 13–11 | -0.01 | 31% | 7 Jul → | ||
| 11–13 | -0.04 | 23% | 3 Jul → | ||
| 12–12 | 0.02 | 21% | 2 Jul → | ||
| 15–15 | 0.07 | 30% | 30 Jun → | ||
| 13–5 | 0.03 | 24% | 30 Jun → | ||
| 10–13 | 0.03 | 31% | 27 Jun → | ||
| 13–10 | -0.01 | 17% | 26 Jun → | ||
| 13–8 | 0.04 | 57% | 23 Jun → | ||
| 13–16 | -0.03 | 16% | 23 Jun → | ||
| 13–5 | 0.04 | 22% | 22 Jun → | ||
| 13–2 | 0.01 | 27% | 18 Jun → | ||
| 13–3 | 0.01 | 25% | 18 Jun → | ||
| 9–13 | 0.01 | 21% | 16 Jun → | ||
| 5–13 | -0.07 | 18% | 16 Jun → | ||
| 9–13 | -0.06 | 24% | 16 Jun → | ||
| 13–7 | 0.03 | 19% | 14 Jun → | ||
| 13–10 | -0.01 | 31% | 14 Jun → | ||
| 6–13 | -0.06 | 36% | 13 Jun → | ||
| 4–13 | -0.06 | 31% | 13 Jun → | ||
| 13–9 | -0.04 | 32% | 13 Jun → | ||
| 2–13 | -0.00 | 36% | 12 Jun → | ||
| 13–11 | 0.02 | 23% | 12 Jun → | ||
| 7–13 | 0.02 | 26% | 12 Jun → | ||
| 13–3 | 0.01 | 28% | 11 Jun → | ||
| 13–6 | 0.06 | 23% | 11 Jun → | ||
| 13–8 | 0.05 | 57% | 11 Jun → | ||
| 4–13 | -0.00 | 32% | 10 Jun → | ||
| 9–13 | 0.00 | 15% | 10 Jun → | ||
| 13–11 | 0.02 | 25% | 9 Jun → | ||
| 13–9 | 0.05 | 21% | 7 Jun → | ||
| 16–14 | 0.00 | 30% | 7 Jun → | ||
| 16–14 | 0.01 | 27% | 6 Jun → | ||
| 10–13 | -0.04 | 34% | 5 Jun → | ||
| 14–16 | 0.03 | 33% | 4 Jun → | ||
| 7–13 | -0.04 | 43% | 4 Jun → | ||
| 13–5 | 0.06 | 23% | 4 Jun → | ||
| 3–6 | 0.06 | 40% | 4 Jun → | ||
| 8–13 | 0.04 | 31% | 3 Jun → | ||
| 13–7 | -0.02 | 37% | 2 Jun → | ||
| 13–11 | -0.06 | 19% | 2 Jun → | ||
| 7–13 | 0.00 | 24% | 2 Jun → | ||
| 8–13 | 0.05 | 13% | 2 Jun → | ||
| 11–13 | 0.06 | 30% | 31 May → | ||
| 5–13 | -0.01 | 25% | 27 May → | ||
| 8–13 | -0.09 | 11% | 27 May → | ||
| 8–13 | -0.01 | 8% | 26 May → | ||
| 16–14 | 0.05 | 36% | 26 May → | ||
| 9–13 | 0.04 | 26% | 22 May → | ||
| 7–13 | -0.02 | 16% | 22 May → | ||
| 7–13 | 0.00 | 34% | 22 May → | ||
| 11–13 | 0.03 | 24% | 21 May → | ||
| 13–10 | 0.03 | 28% | 20 May → | ||
| 16–13 | 0.01 | 19% | 20 May → | ||
| 13–3 | 0.06 | 28% | 16 May → | ||
| 13–6 | -0.01 | 27% | 15 May → | ||
| 13–7 | -0.04 | 20% | 15 May → | ||
| 13–8 | 0.05 | 29% | 14 May → | ||
| 13–10 | 0.07 | 19% | 12 May → | ||
| 8–13 | -0.03 | 33% | 11 May → | ||
| 10–13 | 0.04 | 20% | 7 May → | ||
| 10–13 | -0.03 | 24% | 6 May → | ||
| 3–13 | -0.03 | 26% | 6 May → | ||
| office | 13–7 | 0.02 | 33% | 6 May → | |
| 4–13 | 0.01 | 12% | 6 May → | ||
| 7–13 | -0.04 | 25% | 5 May → | ||
| 13–5 | 0.15 | 24% | 30 Apr → | ||
| 13–6 | 0.02 | 29% | 30 Apr → |
Match data via Leetify.