Pumuki el enano — CS2 Stats
76561198351198690[U:1:390932962]
Rating over time
Premier CS Rating
- At peak — 11,093
- Next: Purple band at 15,000 — 3,907 to go
- Reached: Blue band · Light Blue band
- Blue band first seen 2026-08-28
- Light Blue band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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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: Support — Utility contribution leads the profile while opening activity stays low.
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 NiKo 80% 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. 611ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 3.8/10 (Learning), 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 |
|---|---|---|---|---|---|
| A | 33 | 18–15 | 55% | 0.00 | |
| C | 28 | 10–18 | 36% | 0.00 | |
| B | 15 | 7–8 | 47% | -0.01 | |
| B | 8 | 4–4 | 50% | 0.01 | |
| C | 7 | 3–4 | 43% | 0.02 | |
| S | 5 | 4–1 | 80% | 0.01 | |
| — | 2 | 0–2 | 0% | -0.02 | |
| — | 2 | 2–0 | 100% | -0.01 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (36% over 28). 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 resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 4 | 75% | 0.90 | 14.3 |
| Mirage | 3 | 33% | 1.47 | 14.3 |
| Cache | 2 | 50% | 1.08 | 14.0 |
| Ancient | 2 | 50% | 0.97 | 16.0 |
| Nuke | 2 | 0% | 0.67 | 11.5 |
| Inferno | 1 | 100% | 1.17 | 14.0 |
| Anubis | 1 | 0% | 0.64 | 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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 9.5851% — below the 15% mark we flag
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 26.0866% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
36% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.00 | 4% | 27 Aug → | ||
| 10–13 | 0.01 | 10% | 27 Aug → | ||
| 10–13 | 0.03 | 9% | 19 Aug → | ||
| 5–13 | 0.00 | 10% | 19 Aug → | ||
| 13–7 | 0.03 | 13% | 18 Aug → | ||
| 13–6 | 0.07 | 10% | 15 Aug → | ||
| 11–13 | -0.02 | 15% | 12 Aug → | ||
| 13–11 | -0.04 | 13% | 12 Aug → | ||
| 0–13 | 0.00 | 8% | 12 Aug → | ||
| 8–13 | -0.04 | 10% | 10 Aug → | ||
| 9–13 | -0.04 | 13% | 1 Aug → | ||
| 7–13 | 0.02 | 6% | 30 Jul → | ||
| 7–13 | -0.02 | 10% | 30 Jul → | ||
| 13–7 | 0.05 | 10% | 30 Jul → | ||
| 3–7 | -0.04 | 0% | 30 Jul → | ||
| 5–13 | -0.01 | 5% | 29 Jul → | ||
| 13–8 | -0.01 | 11% | 29 Jul → | ||
| 10–13 | -0.02 | 21% | 29 Jul → | ||
| 15–15 | 0.08 | 13% | 29 Jul → | ||
| 9–13 | 0.02 | 10% | 29 Jul → | ||
| 6–13 | -0.06 | 2% | 29 Jul → | ||
| 16–14 | -0.03 | 13% | 29 Jul → | ||
| 16–13 | -0.01 | 8% | 29 Jul → | ||
| 13–4 | 0.04 | 8% | 29 Jul → | ||
| 13–16 | 0.02 | 9% | 29 Jul → | ||
| 4–13 | 0.03 | 11% | 29 Jul → | ||
| 10–13 | 0.07 | 3% | 29 Jul → | ||
| 15–15 | -0.00 | 6% | 28 Jul → | ||
| 13–2 | 0.03 | 6% | 28 Jul → | ||
| 13–8 | -0.04 | 10% | 28 Jul → | ||
| 5–13 | 0.06 | 18% | 28 Jul → | ||
| 13–10 | -0.02 | 17% | 28 Jul → | ||
| 13–8 | -0.03 | 7% | 28 Jul → | ||
| 15–15 | 0.02 | 16% | 28 Jul → | ||
| 13–8 | -0.02 | 0% | 27 Jul → | ||
| 11–13 | -0.03 | 8% | 27 Jul → | ||
| 3–13 | -0.01 | 12% | 27 Jul → | ||
| 15–15 | -0.05 | 10% | 27 Jul → | ||
| 13–6 | 0.07 | 13% | 27 Jul → | ||
| 13–9 | -0.07 | 6% | 26 Jul → | ||
| 8–13 | -0.08 | 4% | 26 Jul → | ||
| 8–13 | -0.02 | 12% | 26 Jul → | ||
| 8–13 | -0.03 | 8% | 26 Jul → | ||
| 13–9 | -0.06 | 9% | 26 Jul → | ||
| 13–5 | 0.11 | 15% | 25 Jul → | ||
| 5–13 | -0.04 | 11% | 25 Jul → | ||
| 9–13 | 0.00 | 10% | 25 Jul → | ||
| 13–9 | -0.04 | 9% | 25 Jul → | ||
| 13–7 | -0.02 | 12% | 24 Jul → | ||
| 10–13 | -0.04 | 13% | 24 Jul → | ||
| 13–9 | 0.05 | 12% | 22 Jul → | ||
| 5–13 | 0.04 | 5% | 21 Jul → | ||
| 13–11 | 0.05 | 11% | 21 Jul → | ||
| 13–5 | 0.09 | 5% | 18 Jul → | ||
| 7–13 | -0.02 | 9% | 14 Jul → | ||
| 4–13 | -0.04 | 17% | 14 Jul → | ||
| 13–5 | 0.03 | 13% | 11 Jul → | ||
| 13–1 | -0.01 | 13% | 11 Jul → | ||
| 13–2 | 0.03 | 13% | 11 Jul → | ||
| 13–5 | -0.01 | 12% | 11 Jul → | ||
| 13–11 | 0.12 | 7% | 11 Jul → | ||
| 6–1 | 0.05 | 7% | 11 Jul → | ||
| 5–13 | 0.03 | 16% | 3 Jul → | ||
| 2–8 | 0.02 | 10% | 3 Jul → | ||
| 8–3 | -0.04 | 20% | 2 Jul → | ||
| 13–4 | 0.06 | 16% | 2 Jul → | ||
| 16–14 | 0.05 | 7% | 2 Jul → | ||
| 2–13 | -0.06 | 7% | 2 Jul → | ||
| 15–15 | 0.01 | 10% | 2 Jul → | ||
| 13–6 | 0.06 | 31% | 1 Jul → | ||
| 13–5 | -0.01 | 15% | 1 Jul → | ||
| 13–16 | -0.05 | 5% | 28 Jun → | ||
| 9–13 | -0.02 | 0% | 26 Jun → | ||
| 13–10 | -0.03 | 10% | 26 Jun → | ||
| 9–13 | -0.01 | 3% | 24 Jun → | ||
| 13–10 | -0.02 | 23% | 24 Jun → | ||
| 6–13 | 0.03 | 22% | 24 Jun → | ||
| 13–5 | 0.07 | 6% | 24 Jun → | ||
| 9–13 | 0.04 | 6% | 22 Jun → | ||
| 13–2 | 0.04 | 6% | 13 Jun → | ||
| 15–15 | -0.02 | 4% | 13 Jun → | ||
| 13–8 | 0.01 | 5% | 7 Jun → | ||
| 13–7 | -0.00 | 5% | 7 Jun → | ||
| 14–16 | -0.05 | 5% | 2 Jun → | ||
| 7–13 | -0.08 | 14% | 31 May → | ||
| 11–13 | -0.05 | 8% | 31 May → | ||
| 9–13 | -0.00 | 25% | 31 May → | ||
| 6–13 | -0.03 | 7% | 29 May → | ||
| 8–13 | -0.01 | 12% | 29 May → | ||
| 13–11 | 0.05 | 10% | 29 May → | ||
| 13–7 | -0.03 | 13% | 26 May → | ||
| 9–13 | -0.03 | 7% | 19 May → | ||
| 13–11 | 0.02 | 6% | 17 May → | ||
| 13–10 | 0.06 | 5% | 16 May → | ||
| 13–11 | 0.03 | 5% | 15 May → | ||
| 13–5 | -0.01 | 11% | 15 May → | ||
| 13–8 | -0.02 | 3% | 15 May → | ||
| 10–13 | -0.08 | 4% | 15 May → | ||
| 16–13 | 0.06 | 8% | 14 May → | ||
| 11–13 | 0.02 | 6% | 14 May → |
Match data via Leetify.