Pukmin — CS2 Stats
76561198281397418[U:1:321131690]✓ No bans
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 | 35.7% | 42.1% | 42.5% | 6.8% short |
| Shot accuracy | 7.5% | 12.1% | 10.9% | 3.4% short |
| Kill/death ratio | 0.64 | 0.99 | 0.99 | 0.35 short |
| Match win rate | 40.6% | 43.9% | 44.2% | 3.6% short |
This profile sits below the typical Level 4 player on every metric we can compare.
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: -30pp win rate · -0.02 avg rating
Player DNA
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 67% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower utility contribution; 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
T-side openings. Opening success drops from 35% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 639ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 64% 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 (×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 |
|---|---|---|---|---|---|
 cache | B | 30 | 16–14 | 53% | -0.04 |
 inferno | A | 19 | 11–8 | 58% | -0.05 |
 nuke | C | 17 | 7–10 | 41% | -0.03 |
 overpass | A | 11 | 7–4 | 64% | -0.04 |
 train | S | 9 | 7–2 | 78% | -0.00 |
| office | D | 6 | 2–4 | 33% | -0.01 |
 mirage | — | 3 | 0–3 | 0% | -0.04 |
 ancient | — | 2 | 1–1 | 50% | -0.03 |
 dust2 | — | 1 | 1–0 | 100% | -0.05 |
 anubis | — | 1 | 1–0 | 100% | -0.01 |
| alpine | — | 1 | 1–0 | 100% | -0.00 |
Across the last 100 tracked matches.
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
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 13.8127% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.466 — below the 0.5 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 19.4588% — 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.
41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| office | 4–13 | -0.07 | 11% | 20 Aug → | |
| overpass | 10–13 | -0.07 | 19% | 19 Aug → | |
| cache | 8–13 | -0.05 | 10% | 19 Aug → | |
| train | 13–9 | 0.03 | 12% | 12 Aug → | |
| train | 13–4 | 0.04 | 14% | 12 Aug → | |
| inferno | 13–7 | -0.02 | 13% | 7 Aug → | |
| nuke | 13–5 | 0.04 | 20% | 4 Aug → | |
| overpass | 0–7 | -0.05 | 44% | 4 Aug → | |
| cache | 13–6 | -0.07 | 9% | 24 Jul → | |
| inferno | 13–10 | -0.04 | 7% | 24 Jul → | |
| nuke | 8–13 | -0.05 | 18% | 18 Jul → | |
| train | 13–11 | -0.05 | 15% | 16 Jul → | |
| overpass | 13–6 | -0.05 | 11% | 16 Jul → | |
| train | 13–0 | 0.13 | 16% | 12 Jul → | |
| office | 13–3 | 0.11 | 20% | 9 Jul → | |
| cache | 13–8 | -0.01 | 11% | 9 Jul → | |
| office | 13–2 | -0.02 | 27% | 9 Jul → | |
| dust2 | 13–5 | -0.05 | 21% | 9 Jul → | |
| inferno | 13–7 | -0.07 | 19% | 9 Jul → | |
| cache | 13–8 | -0.04 | 17% | 7 Jul → | |
| nuke | 13–9 | -0.03 | 7% | 7 Jul → | |
| nuke | 11–1 | -0.02 | 16% | 4 Jul → | |
| nuke | 15–15 | 0.04 | 10% | 3 Jul → | |
| nuke | 13–6 | -0.01 | 12% | 3 Jul → | |
| cache | 13–11 | -0.03 | 16% | 1 Jul → | |
| overpass | 6–13 | 0.03 | 15% | 26 Jun → | |
| nuke | 13–8 | 0.03 | 10% | 26 Jun → | |
| nuke | 8–13 | 0.01 | 8% | 26 Jun → | |
| anubis | 13–6 | -0.01 | 2% | 26 Jun → | |
| inferno | 2–9 | -0.10 | 10% | 26 Jun → | |
| ancient | 7–13 | -0.01 | 14% | 18 Jun → | |
| inferno | 13–1 | -0.03 | 12% | 18 Jun → | |
| inferno | 13–6 | -0.05 | 15% | 17 Jun → | |
| office | 5–13 | -0.05 | 6% | 14 Jun → | |
| office | 6–13 | -0.02 | 20% | 13 Jun → | |
| mirage | 0–13 | -0.08 | 8% | 13 Jun → | |
| cache | 4–13 | -0.08 | 0% | 12 Jun → | |
| cache | 10–13 | -0.08 | 11% | 12 Jun → | |
| inferno | 10–13 | 0.02 | 11% | 10 Jun → | |
| inferno | 3–13 | -0.15 | 4% | 10 Jun → | |
| cache | 13–6 | 0.00 | 15% | 9 Jun → | |
| nuke | 12–12 | -0.01 | 11% | 8 Jun → | |
| cache | 13–1 | 0.02 | 11% | 8 Jun → | |
| cache | 10–13 | -0.07 | 8% | 4 Jun → | |
| nuke | 9–13 | -0.05 | 14% | 4 Jun → | |
| inferno | 13–8 | -0.01 | 5% | 3 Jun → | |
| inferno | 13–10 | -0.03 | 12% | 2 Jun → | |
| cache | 1–13 | -0.09 | 13% | 1 Jun → | |
| train | 2–13 | -0.10 | 8% | 1 Jun → | |
| cache | 13–9 | -0.02 | 7% | 28 May → | |
| inferno | 13–11 | -0.03 | 6% | 28 May → | |
| ancient | 13–10 | -0.06 | 9% | 27 May → | |
| alpine | 13–9 | -0.00 | 13% | 27 May → | |
| nuke | 3–13 | -0.09 | 19% | 21 May → | |
| cache | 4–13 | -0.08 | 10% | 21 May → | |
| cache | 13–4 | -0.05 | 6% | 21 May → | |
| overpass | 13–5 | -0.02 | 13% | 19 May → | |
| nuke | 11–13 | -0.06 | 10% | 17 May → | |
| cache | 13–8 | -0.08 | 7% | 17 May → | |
| nuke | 3–13 | -0.09 | 0% | 16 May → | |
| cache | 13–11 | 0.01 | 21% | 14 May → | |
| train | 13–10 | -0.08 | 17% | 14 May → | |
| train | 13–2 | -0.02 | 12% | 14 May → | |
| overpass | 13–9 | -0.05 | 34% | 14 May → | |
| overpass | 13–3 | -0.08 | 8% | 14 May → | |
| inferno | 13–3 | 0.03 | 21% | 12 May → | |
| overpass | 13–10 | -0.04 | 18% | 11 May → | |
| cache | 13–3 | -0.00 | 21% | 10 May → | |
| overpass | 13–4 | -0.03 | 8% | 10 May → | |
| cache | 13–11 | -0.09 | 0% | 9 May → | |
| cache | 13–1 | 0.01 | 7% | 9 May → | |
| nuke | 4–13 | -0.06 | 17% | 8 May → | |
| cache | 7–13 | -0.06 | 7% | 8 May → | |
| inferno | 12–12 | -0.02 | 22% | 7 May → | |
| inferno | 8–13 | -0.10 | 18% | 6 May → | |
| office | 4–13 | -0.01 | 35% | 5 May → | |
| inferno | 3–13 | -0.06 | 21% | 5 May → | |
| inferno | 13–0 | -0.04 | 15% | 5 May → | |
| cache | 4–13 | 0.02 | 11% | 4 May → | |
| cache | 10–13 | -0.08 | 8% | 4 May → | |
| cache | 5–13 | 0.00 | 6% | 2 May → | |
| cache | 13–7 | -0.03 | 7% | 2 May → | |
| cache | 12–12 | 0.01 | 18% | 2 May → | |
| cache | 12–12 | -0.04 | 0% | 2 May → | |
| cache | 13–5 | -0.02 | 10% | 30 Apr → | |
| cache | 9–13 | -0.06 | 16% | 30 Apr → | |
| cache | 13–8 | -0.01 | 15% | 29 Apr → | |
| cache | 6–13 | -0.07 | 9% | 29 Apr → | |
| inferno | 6–13 | -0.10 | 4% | 28 Apr → | |
| train | 13–4 | -0.02 | 9% | 28 Apr → | |
| mirage | 7–13 | -0.06 | 10% | 26 Apr → | |
| train | 12–12 | 0.05 | 14% | 26 Apr → | |
| mirage | 10–13 | 0.03 | 11% | 26 Apr → | |
| overpass | 13–8 | 0.05 | 12% | 26 Apr → | |
| inferno | 12–12 | -0.05 | 12% | 21 Apr → | |
| inferno | 13–11 | -0.05 | 10% | 21 Apr → | |
| nuke | 13–6 | -0.10 | 0% | 19 Apr → | |
| nuke | 13–6 | -0.10 | 19% | 19 Apr → | |
| nuke | 12–12 | -0.03 | 13% | 19 Apr → | |
| overpass | 12–12 | -0.08 | 13% | 18 Apr → |
Match data via Leetify.
