whitey — CS2 Stats
76561198281292039[U:1:321026311]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +50pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerEffective 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 sh1ro 96% playstyle similarity
Most alike: opening-fight frequency, 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
Aim. Aim score of 89 — the mechanical foundation is a clear strength.
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 7.8/10 (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 |
|---|---|---|---|---|---|
| A | 40 | 24–16 | 60% | 0.05 | |
| S | 17 | 12–5 | 71% | 0.05 | |
| C | 16 | 6–10 | 38% | 0.05 | |
| A | 7 | 4–3 | 57% | 0.06 | |
| C | 7 | 3–4 | 43% | 0.02 | |
| — | 4 | 2–2 | 50% | 0.10 | |
| — | 4 | 2–2 | 50% | 0.02 | |
| office | — | 2 | 0–2 | 0% | 0.03 |
| — | 2 | 1–1 | 50% | 0.01 | |
| — | 1 | 1–0 | 100% | 0.11 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 107 | 64% | 1.23 | 17.0 |
| Dust2 | 47 | 64% | 1.38 | 16.7 |
| Anubis | 38 | 37% | 1.15 | 16.9 |
| Inferno | 35 | 69% | 1.40 | 16.1 |
| Ancient | 31 | 58% | 1.14 | 15.7 |
| Nuke | 14 | 50% | 1.23 | 19.4 |
| Vertigo | 11 | 55% | 1.08 | 17.1 |
| Cache | 2 | 50% | 2.00 | 18.5 |
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 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–1 | 0.11 | 23% | 7 Aug → | ||
| 13–9 | 0.08 | 16% | 7 Aug → | ||
| 13–7 | -0.01 | 24% | 7 Aug → | ||
| 13–5 | 0.07 | 17% | 7 Aug → | ||
| 16–13 | 0.02 | 28% | 7 Aug → | ||
| 15–15 | 0.05 | 21% | 5 Aug → | ||
| 13–11 | 0.04 | 15% | 5 Aug → | ||
| 13–4 | 0.11 | 16% | 4 Aug → | ||
| 13–8 | -0.02 | 26% | 4 Aug → | ||
| 13–4 | 0.11 | 41% | 3 Aug → | ||
| 0–4 | -0.05 | 8% | 3 Aug → | ||
| 10–13 | 0.01 | 35% | 2 Aug → | ||
| 13–6 | 0.05 | 35% | 1 Aug → | ||
| 13–8 | 0.06 | 24% | 1 Aug → | ||
| 13–5 | 0.13 | 18% | 1 Aug → | ||
| 4–13 | -0.02 | 16% | 31 Jul → | ||
| 13–6 | 0.13 | 38% | 31 Jul → | ||
| 5–13 | 0.01 | 22% | 31 Jul → | ||
| 8–13 | 0.09 | 37% | 31 Jul → | ||
| 10–13 | 0.08 | 29% | 31 Jul → | ||
| 13–10 | 0.03 | 26% | 31 Jul → | ||
| 10–13 | 0.00 | 17% | 31 Jul → | ||
| 13–9 | 0.10 | 23% | 26 Jul → | ||
| 13–9 | 0.06 | 26% | 26 Jul → | ||
| 11–13 | 0.12 | 26% | 26 Jul → | ||
| 9–13 | 0.07 | 20% | 26 Jul → | ||
| 10–13 | 0.02 | 29% | 25 Jul → | ||
| 1–13 | 0.03 | 26% | 25 Jul → | ||
| 13–10 | 0.05 | 26% | 25 Jul → | ||
| 1–13 | 0.05 | 17% | 25 Jul → | ||
| 13–9 | 0.10 | 23% | 25 Jul → | ||
| 13–7 | 0.00 | 17% | 25 Jul → | ||
| 13–2 | 0.08 | 58% | 25 Jul → | ||
| 7–13 | 0.08 | 25% | 24 Jul → | ||
| 13–6 | 0.04 | 13% | 24 Jul → | ||
| 13–10 | 0.19 | 26% | 24 Jul → | ||
| 1–2 | 0.12 | 33% | 24 Jul → | ||
| 10–13 | -0.01 | 22% | 22 Jul → | ||
| 11–13 | 0.06 | 20% | 22 Jul → | ||
| 13–2 | 0.10 | 14% | 22 Jul → | ||
| 13–5 | 0.13 | 26% | 22 Jul → | ||
| 16–12 | 0.09 | 18% | 22 Jul → | ||
| 11–13 | -0.08 | 0% | 21 Jul → | ||
| 13–6 | 0.11 | 28% | 21 Jul → | ||
| 13–7 | 0.05 | 19% | 21 Jul → | ||
| 13–4 | 0.01 | 28% | 19 Jul → | ||
| 13–8 | 0.01 | 21% | 19 Jul → | ||
| 13–3 | 0.11 | 29% | 19 Jul → | ||
| 11–13 | 0.10 | 31% | 19 Jul → | ||
| 15–15 | 0.08 | 28% | 19 Jul → | ||
| 1–13 | -0.03 | 33% | 19 Jul → | ||
| 7–13 | 0.05 | 26% | 15 Jul → | ||
| 9–13 | 0.06 | 22% | 15 Jul → | ||
| 13–11 | -0.01 | 27% | 15 Jul → | ||
| 13–11 | 0.04 | 27% | 15 Jul → | ||
| 13–5 | 0.05 | 11% | 14 Jul → | ||
| 13–8 | 0.02 | 24% | 14 Jul → | ||
| 4–13 | -0.03 | 71% | 13 Jul → | ||
| 7–13 | 0.09 | 30% | 13 Jul → | ||
| 16–13 | 0.04 | 11% | 12 Jul → | ||
| 13–5 | 0.12 | 15% | 12 Jul → | ||
| 13–3 | 0.07 | 55% | 11 Jul → | ||
| 13–10 | 0.12 | 20% | 10 Jul → | ||
| 6–13 | -0.02 | 30% | 10 Jul → | ||
| 14–16 | 0.03 | 20% | 9 Jul → | ||
| 13–9 | 0.11 | 26% | 9 Jul → | ||
| 13–9 | 0.04 | 23% | 7 Jul → | ||
| 13–8 | 0.09 | 29% | 7 Jul → | ||
| office | 4–13 | -0.02 | 21% | 6 Jul → | |
| 13–8 | 0.11 | 16% | 6 Jul → | ||
| 13–7 | 0.01 | 26% | 6 Jul → | ||
| 12–12 | 0.00 | 22% | 5 Jul → | ||
| office | 6–13 | 0.08 | 42% | 5 Jul → | |
| 13–5 | 0.05 | 44% | 5 Jul → | ||
| 12–12 | 0.04 | 30% | 5 Jul → | ||
| 13–5 | 0.08 | 26% | 4 Jul → | ||
| 13–10 | -0.03 | 18% | 4 Jul → | ||
| 13–8 | 0.05 | 23% | 3 Jul → | ||
| 13–2 | 0.04 | 15% | 3 Jul → | ||
| 9–13 | 0.08 | 26% | 3 Jul → | ||
| 0–2 | -0.06 | 0% | 3 Jul → | ||
| 13–3 | 0.07 | 32% | 3 Jul → | ||
| 11–13 | 0.05 | 19% | 3 Jul → | ||
| 6–9 | 0.03 | 20% | 2 Jul → | ||
| 9–13 | 0.03 | 32% | 2 Jul → | ||
| 14–16 | 0.07 | 25% | 1 Jul → | ||
| 5–13 | -0.02 | 45% | 1 Jul → | ||
| 4–13 | 0.05 | 33% | 30 Jun → | ||
| 7–13 | -0.04 | 37% | 30 Jun → | ||
| 13–7 | 0.11 | 24% | 30 Jun → | ||
| 15–15 | -0.02 | 29% | 28 Jun → | ||
| 13–5 | 0.07 | 22% | 28 Jun → | ||
| 2–13 | 0.04 | 21% | 28 Jun → | ||
| 9–13 | 0.02 | 26% | 28 Jun → | ||
| 13–4 | 0.05 | 18% | 28 Jun → | ||
| 6–4 | 0.10 | 24% | 27 Jun → | ||
| 13–5 | 0.11 | 24% | 27 Jun → | ||
| 13–8 | -0.01 | 19% | 27 Jun → | ||
| 8–13 | -0.02 | 16% | 27 Jun → | ||
| 11–13 | 0.02 | 18% | 27 Jun → |
Match data via Leetify.