ム Papi — CS2 Stats
76561198341374509[U:1:381108781]
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 |
|---|---|---|
| Headshot rate | 38.6% | 52.8% |
| Shot accuracy | 15.4% | 13.7% |
| Kill/death ratio | 1.06 | 1.08 |
| Match win rate | 49.0% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Effective 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 iM 94% playstyle similarity
Most alike: opening-duel success, 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
Strengths
Flashes. 0.76 enemies blinded per flash — utility that consistently lands.
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 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 |
|---|---|---|---|---|---|
| B | 39 | 18–21 | 46% | 0.01 | |
| A | 18 | 11–7 | 61% | 0.02 | |
| B | 15 | 7–8 | 47% | 0.01 | |
| C | 9 | 4–5 | 44% | 0.05 | |
| S | 8 | 7–1 | 88% | 0.03 | |
| S | 7 | 5–2 | 71% | 0.00 | |
| — | 2 | 1–1 | 50% | -0.05 | |
| — | 2 | 1–1 | 50% | 0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Inferno 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 resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 297 | 58% | 1.10 | 16.4 |
| Ancient | 172 | 45% | 1.03 | 16.1 |
| Anubis | 171 | 56% | 1.07 | 16.2 |
| Inferno | 102 | 42% | 1.02 | 16.3 |
| Dust2 | 34 | 38% | 1.09 | 16.3 |
| Overpass | 18 | 39% | 1.06 | 16.9 |
| Train | 14 | 64% | 0.99 | 16.6 |
| Cache | 3 | 67% | 1.27 | 17.7 |
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 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–1 | 0.08 | 13% | 23 Jul → | ||
| 7–13 | -0.03 | 11% | 17 Jul → | ||
| 4–13 | -0.01 | 29% | 17 Jul → | ||
| 2–13 | -0.04 | 6% | 16 Jul → | ||
| 13–0 | 0.03 | 23% | 16 Jul → | ||
| 13–1 | -0.00 | 27% | 15 Jul → | ||
| 13–8 | -0.09 | 15% | 15 Jul → | ||
| 3–13 | -0.06 | 19% | 15 Jul → | ||
| 13–5 | 0.03 | 16% | 14 Jul → | ||
| 13–2 | -0.03 | 42% | 13 Jul → | ||
| 13–5 | -0.02 | 24% | 13 Jul → | ||
| 13–5 | 0.05 | 34% | 13 Jul → | ||
| 9–13 | -0.05 | 16% | 13 Jul → | ||
| 13–9 | 0.01 | 14% | 13 Jul → | ||
| 13–8 | -0.08 | 29% | 12 Jul → | ||
| 7–13 | -0.01 | 17% | 9 Jul → | ||
| 11–5 | -0.02 | 33% | 9 Jul → | ||
| 13–10 | 0.01 | 28% | 8 Jul → | ||
| 13–8 | -0.01 | 12% | 8 Jul → | ||
| 10–13 | 0.07 | 17% | 6 Jul → | ||
| 13–5 | -0.01 | 24% | 5 Jul → | ||
| 0–13 | -0.01 | 32% | 5 Jul → | ||
| 11–13 | 0.14 | 28% | 5 Jul → | ||
| 15–15 | -0.03 | 19% | 1 Jul → | ||
| 13–6 | 0.16 | 30% | 1 Jul → | ||
| 13–8 | 0.12 | 22% | 1 Jul → | ||
| 13–8 | 0.12 | 26% | 1 Jul → | ||
| 7–13 | 0.00 | 25% | 1 Jul → | ||
| 19–22 | 0.03 | 27% | 1 Jul → | ||
| 13–7 | 0.01 | 19% | 1 Jul → | ||
| 13–9 | 0.01 | 13% | 30 Jun → | ||
| 13–9 | -0.02 | 18% | 30 Jun → | ||
| 10–13 | 0.04 | 15% | 30 Jun → | ||
| 11–13 | -0.05 | 13% | 29 Jun → | ||
| 11–13 | -0.02 | 17% | 28 Jun → | ||
| 8–13 | -0.03 | 18% | 28 Jun → | ||
| 13–5 | 0.01 | 15% | 27 Jun → | ||
| 10–13 | 0.06 | 17% | 27 Jun → | ||
| 3–13 | -0.07 | 33% | 26 Jun → | ||
| 13–8 | -0.03 | 19% | 23 Jun → | ||
| 9–13 | -0.03 | 22% | 21 Jun → | ||
| 13–6 | 0.02 | 5% | 21 Jun → | ||
| 13–9 | -0.05 | 15% | 20 Jun → | ||
| 7–13 | -0.04 | 36% | 18 Jun → | ||
| 13–11 | 0.00 | 13% | 15 Jun → | ||
| 4–13 | -0.02 | 13% | 15 Jun → | ||
| 10–13 | -0.04 | 21% | 15 Jun → | ||
| 13–11 | 0.02 | 21% | 14 Jun → | ||
| 13–6 | 0.00 | 14% | 13 Jun → | ||
| 13–7 | 0.09 | 18% | 10 Jun → | ||
| 13–7 | 0.04 | 22% | 10 Jun → | ||
| 13–7 | -0.02 | 20% | 9 Jun → | ||
| 9–13 | -0.04 | 19% | 5 Jun → | ||
| 5–13 | -0.05 | 12% | 4 Jun → | ||
| 13–7 | 0.02 | 17% | 2 Jun → | ||
| 13–7 | -0.01 | 16% | 1 Jun → | ||
| 13–8 | 0.04 | 10% | 30 May → | ||
| 13–9 | -0.02 | 17% | 26 May → | ||
| 9–13 | 0.02 | 16% | 24 May → | ||
| 13–1 | 0.08 | 20% | 24 May → | ||
| 13–7 | -0.01 | 20% | 21 May → | ||
| 10–13 | 0.03 | 11% | 21 May → | ||
| 9–13 | 0.01 | 21% | 20 May → | ||
| 10–13 | -0.02 | 5% | 19 May → | ||
| 13–9 | -0.05 | 14% | 18 May → | ||
| 13–6 | 0.04 | 19% | 18 May → | ||
| 13–6 | 0.06 | 19% | 16 May → | ||
| 13–5 | 0.11 | 11% | 13 May → | ||
| 16–14 | 0.04 | 10% | 13 May → | ||
| 6–13 | 0.03 | 17% | 13 May → | ||
| 8–8 | 0.11 | 28% | 13 May → | ||
| 4–13 | -0.01 | 23% | 13 May → | ||
| 5–13 | -0.02 | 20% | 13 May → | ||
| 13–0 | 0.09 | 26% | 12 May → | ||
| 13–8 | 0.07 | 16% | 12 May → | ||
| 13–10 | -0.04 | 23% | 12 May → | ||
| 4–13 | -0.03 | 15% | 4 May → | ||
| 13–1 | 0.13 | 23% | 4 May → | ||
| 13–4 | 0.05 | 25% | 4 May → | ||
| 15–15 | 0.03 | 23% | 4 May → | ||
| 10–13 | 0.07 | 13% | 4 May → | ||
| 9–13 | 0.01 | 24% | 4 May → | ||
| 12–12 | 0.02 | 21% | 3 May → | ||
| 13–5 | 0.10 | 28% | 3 May → | ||
| 11–13 | 0.01 | 13% | 3 May → | ||
| 13–11 | 0.01 | 16% | 3 May → | ||
| 6–13 | -0.04 | 18% | 2 May → | ||
| 3–13 | -0.01 | 13% | 2 May → | ||
| 9–13 | 0.08 | 39% | 2 May → | ||
| 13–7 | 0.04 | 20% | 2 May → | ||
| 13–10 | -0.02 | 17% | 2 May → | ||
| 13–6 | 0.08 | 21% | 2 May → | ||
| 5–13 | 0.04 | 30% | 1 May → | ||
| 3–13 | 0.02 | 16% | 1 May → | ||
| 13–6 | 0.05 | 16% | 1 May → | ||
| 9–13 | 0.02 | 13% | 1 May → | ||
| 3–13 | -0.05 | 21% | 1 May → | ||
| 7–13 | 0.11 | 13% | 1 May → | ||
| 13–6 | 0.04 | 21% | 1 May → | ||
| 13–8 | -0.03 | 25% | 1 May → |
Match data via Leetify.