Son Punnett — CS2 Stats
76561198880574120[U:1:920308392]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.00 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 63% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 31 | 14–17 | 45% | -0.07 | |
| C | 20 | 7–13 | 35% | -0.06 | |
| C | 19 | 7–12 | 37% | -0.06 | |
| C | 7 | 3–4 | 43% | -0.05 | |
| S | 5 | 4–1 | 80% | -0.07 | |
| A | 5 | 3–2 | 60% | -0.07 | |
| — | 4 | 3–1 | 75% | -0.07 | |
| — | 2 | 1–1 | 50% | -0.03 | |
| — | 2 | 1–1 | 50% | -0.03 | |
| office | — | 2 | 0–2 | 0% | -0.08 |
| italy | — | 1 | 1–0 | 100% | -0.02 |
| warden | — | 1 | 0–1 | 0% | -0.07 |
| rooftop | — | 1 | 1–0 | 100% | 0.04 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 11 | 45% | 0.44 | 8.4 |
| Dust2 | 7 | 43% | 0.33 | 5.6 |
| Overpass | 3 | 33% | 0.28 | 5.0 |
| Anubis | 3 | 33% | 0.86 | 10.3 |
| Inferno | 3 | 100% | 0.44 | 7.7 |
| Cache | 1 | 100% | 0.26 | 5.0 |
| Nuke | 1 | 0% | 0.12 | 2.0 |
| Train | 1 | 0% | 0.38 | 6.0 |
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.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.1222° — above the 12° 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 0.1337 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | -0.05 | 27% | 29 Aug → | ||
| 19–16 | -0.07 | 21% | 12 Jul → | ||
| 6–13 | -0.05 | 10% | 11 Jul → | ||
| 6–13 | -0.03 | 13% | 11 Jul → | ||
| 16–14 | -0.03 | 27% | 11 Jul → | ||
| 13–8 | -0.05 | 21% | 11 Jul → | ||
| 13–11 | -0.08 | 24% | 5 Jul → | ||
| 13–11 | -0.11 | 17% | 5 Jul → | ||
| 4–13 | -0.07 | 0% | 5 Jul → | ||
| 13–9 | -0.07 | 10% | 5 Jul → | ||
| 13–8 | -0.05 | 15% | 5 Jul → | ||
| 13–8 | -0.10 | 29% | 5 Jul → | ||
| 13–5 | -0.07 | 25% | 24 Jun → | ||
| 13–10 | -0.04 | 13% | 10 Jun → | ||
| 13–10 | -0.08 | 10% | 10 Jun → | ||
| 13–8 | -0.07 | 13% | 10 Jun → | ||
| 13–6 | -0.02 | 10% | 10 Jun → | ||
| 13–10 | -0.10 | 26% | 10 Jun → | ||
| 4–13 | -0.05 | 30% | 10 Jun → | ||
| 13–5 | -0.02 | 19% | 6 Jun → | ||
| 12–12 | -0.04 | 23% | 6 Jun → | ||
| 13–2 | -0.03 | 50% | 3 Jun → | ||
| 13–6 | -0.02 | 18% | 10 May → | ||
| 5–13 | -0.11 | 18% | 10 May → | ||
| italy | 13–10 | -0.02 | 21% | 10 May → | |
| 13–4 | 0.03 | 23% | 10 May → | ||
| 4–13 | -0.13 | 7% | 10 May → | ||
| 13–6 | -0.00 | 21% | 10 May → | ||
| 5–13 | -0.07 | 0% | 9 May → | ||
| 2–13 | -0.09 | 13% | 9 May → | ||
| 9–2 | 0.10 | 31% | 9 May → | ||
| 5–9 | -0.13 | 14% | 9 May → | ||
| 8–13 | -0.05 | 18% | 7 May → | ||
| 13–2 | -0.01 | 8% | 6 May → | ||
| 7–13 | -0.08 | 22% | 5 May → | ||
| 13–2 | -0.07 | 16% | 18 Apr → | ||
| 13–7 | -0.07 | 25% | 18 Apr → | ||
| 4–13 | -0.14 | 8% | 18 Apr → | ||
| 5–13 | -0.12 | 10% | 18 Apr → | ||
| 5–13 | -0.09 | 31% | 17 Apr → | ||
| 10–13 | -0.11 | 0% | 17 Apr → | ||
| 13–9 | -0.08 | 11% | 17 Apr → | ||
| 13–6 | -0.09 | 17% | 17 Apr → | ||
| 3–13 | -0.03 | 25% | 16 Apr → | ||
| 11–13 | -0.14 | 13% | 15 Apr → | ||
| 13–3 | -0.06 | 25% | 14 Apr → | ||
| 13–5 | -0.02 | 30% | 13 Apr → | ||
| 9–13 | -0.01 | 12% | 13 Apr → | ||
| 11–13 | -0.07 | 11% | 13 Apr → | ||
| 3–13 | -0.06 | 13% | 13 Apr → | ||
| 11–13 | -0.08 | 13% | 9 Apr → | ||
| 10–13 | -0.10 | 21% | 9 Apr → | ||
| 7–13 | -0.04 | 21% | 5 Apr → | ||
| office | 1–13 | -0.08 | 11% | 5 Apr → | |
| 7–13 | -0.02 | 10% | 5 Apr → | ||
| 9–7 | -0.06 | 19% | 5 Apr → | ||
| 4–13 | -0.04 | 24% | 26 Mar → | ||
| 9–13 | -0.05 | 0% | 26 Mar → | ||
| 3–13 | -0.03 | 10% | 26 Mar → | ||
| 4–13 | -0.11 | 17% | 21 Mar → | ||
| 1–13 | -0.03 | 13% | 21 Mar → | ||
| 5–1 | -0.05 | 0% | 21 Mar → | ||
| 13–10 | -0.02 | 28% | 21 Mar → | ||
| 13–8 | -0.05 | 16% | 15 Mar → | ||
| 8–13 | -0.01 | 13% | 15 Mar → | ||
| 10–13 | -0.07 | 5% | 13 Mar → | ||
| warden | 0–9 | -0.07 | 0% | 7 Feb → | |
| office | 0–13 | -0.08 | 26% | 26 Jan → | |
| 9–13 | -0.01 | 18% | 26 Jan → | ||
| 7–13 | -0.10 | 39% | 26 Jan → | ||
| 13–9 | -0.15 | 25% | 9 Jan → | ||
| 2–13 | -0.12 | 8% | 4 Jan → | ||
| 7–13 | -0.13 | 5% | 4 Jan → | ||
| 13–10 | -0.06 | 19% | 28 Dec → | ||
| 13–16 | -0.09 | 21% | 25 Dec → | ||
| 5–13 | -0.09 | 8% | 21 Dec → | ||
| 13–3 | -0.03 | 21% | 21 Dec → | ||
| 13–10 | -0.07 | 26% | 20 Dec → | ||
| 3–13 | -0.12 | 23% | 20 Dec → | ||
| 13–5 | 0.04 | 30% | 18 Dec → | ||
| 13–6 | -0.09 | 14% | 18 Dec → | ||
| 8–13 | -0.06 | 8% | 18 Dec → | ||
| 2–13 | -0.04 | 31% | 14 Dec → | ||
| 6–13 | -0.10 | 14% | 13 Dec → | ||
| 13–10 | -0.09 | 12% | 7 Dec → | ||
| 2–13 | -0.11 | 12% | 7 Dec → | ||
| rooftop | 9–1 | 0.04 | 10% | 7 Dec → | |
| 6–13 | -0.07 | 36% | 29 Nov → | ||
| 16–13 | -0.05 | 6% | 29 Nov → | ||
| 13–11 | -0.04 | 9% | 23 Nov → | ||
| 13–6 | 0.01 | 10% | 23 Nov → | ||
| 5–13 | -0.10 | 25% | 9 Nov → | ||
| 12–12 | -0.07 | 10% | 1 Nov → | ||
| 7–13 | -0.08 | 20% | 1 Nov → | ||
| 9–5 | -0.05 | 24% | 13 Sept → | ||
| 7–9 | -0.12 | 6% | 13 Sept → | ||
| 13–10 | -0.05 | 17% | 13 Sept → | ||
| 12–12 | -0.05 | 16% | 13 Sept → | ||
| 8–8 | -0.09 | 25% | 13 Sept → | ||
| 6–9 | -0.02 | 9% | 10 Sept → |
Match data via Leetify.
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