winfield — CS2 Stats
76561198079315742[U:1:119050014]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · -0.01 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 77% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower positioning profile; 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. 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 4.9/10 (Developing), 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 |
|---|---|---|---|---|---|
| B | 17 | 9–8 | 53% | -0.01 | |
| C | 17 | 7–10 | 41% | -0.03 | |
| B | 13 | 7–6 | 54% | -0.00 | |
| C | 11 | 4–7 | 36% | 0.00 | |
| D | 10 | 3–7 | 30% | -0.00 | |
| C | 9 | 4–5 | 44% | -0.02 | |
| A | 8 | 5–3 | 63% | -0.02 | |
| — | 4 | 2–2 | 50% | 0.00 | |
| — | 3 | 2–1 | 67% | 0.01 | |
| alpine | — | 2 | 0–2 | 0% | -0.04 |
| office | — | 2 | 1–1 | 50% | -0.01 |
| shelter | — | 1 | 1–0 | 100% | -0.05 |
| poseidon | — | 1 | 0–1 | 0% | -0.15 |
| — | 1 | 0–1 | 0% | -0.00 | |
| italy | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient 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 resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 5 | 80% | 1.13 | 14.6 |
| Nuke | 4 | 100% | 2.13 | 16.5 |
| Mirage | 3 | 33% | 1.30 | 20.0 |
| Vertigo | 2 | 50% | 1.53 | 16.0 |
| Dust2 | 2 | 100% | 0.92 | 14.0 |
| Ancient | 2 | 50% | 1.16 | 16.5 |
| Anubis | 1 | 0% | 0.94 | 15.0 |
| Overpass | 1 | 0% | 0.50 | 9.0 |
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 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 20.6883% — 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.
30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | 0.01 | 30% | 9 Aug → | ||
| shelter | 13–5 | -0.05 | 22% | 8 Jul → | |
| poseidon | 2–9 | -0.15 | 10% | 8 Jul → | |
| 13–2 | 0.00 | 33% | 8 Jul → | ||
| 12–12 | -0.07 | 23% | 8 Jul → | ||
| 10–13 | -0.08 | 8% | 1 Jul → | ||
| 13–7 | -0.01 | 30% | 1 Jul → | ||
| 13–10 | 0.01 | 17% | 1 Jul → | ||
| 4–13 | -0.06 | 13% | 30 Jun → | ||
| 13–6 | 0.03 | 25% | 29 Jun → | ||
| 9–13 | -0.05 | 23% | 25 Jun → | ||
| alpine | 9–13 | -0.03 | 22% | 22 Jun → | |
| 13–10 | 0.02 | 15% | 16 Jun → | ||
| 9–13 | -0.06 | 19% | 16 Jun → | ||
| 3–13 | -0.07 | 21% | 12 Jun → | ||
| 7–13 | -0.06 | 17% | 12 Jun → | ||
| 10–1 | 0.04 | 45% | 12 Jun → | ||
| 13–3 | 0.04 | 17% | 10 Jun → | ||
| 9–13 | -0.03 | 24% | 10 Jun → | ||
| 13–16 | -0.03 | 10% | 8 Jun → | ||
| 13–9 | 0.01 | 13% | 8 Jun → | ||
| 13–10 | -0.03 | 22% | 7 Jun → | ||
| 5–13 | -0.06 | 19% | 7 Jun → | ||
| 10–13 | 0.00 | 31% | 4 Jun → | ||
| 13–2 | 0.05 | 11% | 4 Jun → | ||
| 13–3 | 0.03 | 21% | 4 Jun → | ||
| 13–10 | 0.04 | 27% | 4 Jun → | ||
| 13–3 | 0.07 | 26% | 4 Jun → | ||
| 10–3 | 0.07 | 17% | 28 May → | ||
| 13–11 | -0.03 | 21% | 28 May → | ||
| 12–12 | 0.12 | 20% | 26 May → | ||
| 12–12 | 0.03 | 16% | 26 May → | ||
| 13–10 | 0.04 | 29% | 25 May → | ||
| 13–11 | -0.01 | 11% | 25 May → | ||
| 10–13 | -0.01 | 22% | 21 May → | ||
| 13–7 | -0.00 | 28% | 21 May → | ||
| 13–10 | -0.02 | 24% | 21 May → | ||
| 8–13 | -0.06 | 16% | 21 May → | ||
| 10–13 | -0.02 | 18% | 15 May → | ||
| 7–13 | -0.05 | 27% | 15 May → | ||
| 7–13 | -0.02 | 23% | 15 May → | ||
| 12–12 | 0.11 | 24% | 12 May → | ||
| 11–13 | 0.06 | 23% | 12 May → | ||
| 10–13 | 0.01 | 14% | 12 May → | ||
| 13–8 | -0.03 | 15% | 12 May → | ||
| 4–13 | -0.04 | 33% | 10 May → | ||
| 7–13 | -0.04 | 21% | 10 May → | ||
| office | 13–10 | 0.04 | 12% | 7 May → | |
| 12–12 | -0.01 | 17% | 7 May → | ||
| 5–13 | -0.07 | 16% | 7 May → | ||
| 2–13 | -0.04 | 22% | 5 May → | ||
| 13–10 | 0.03 | 33% | 5 May → | ||
| 5–13 | -0.07 | 17% | 5 May → | ||
| 13–3 | -0.01 | 20% | 30 Apr → | ||
| 13–6 | -0.07 | 50% | 30 Apr → | ||
| 13–6 | -0.03 | 16% | 30 Apr → | ||
| 13–8 | -0.03 | 24% | 29 Apr → | ||
| 5–13 | -0.05 | 8% | 29 Apr → | ||
| 13–10 | -0.02 | 17% | 21 Apr → | ||
| 5–13 | -0.07 | 15% | 20 Apr → | ||
| 10–13 | -0.06 | 15% | 20 Apr → | ||
| 13–11 | -0.06 | 15% | 14 Apr → | ||
| 7–13 | -0.01 | 27% | 14 Apr → | ||
| 13–10 | -0.05 | 10% | 14 Apr → | ||
| 12–12 | 0.02 | 18% | 13 Apr → | ||
| 10–13 | -0.06 | 24% | 13 Apr → | ||
| 12–16 | -0.02 | 18% | 31 Mar → | ||
| 9–13 | -0.05 | 5% | 31 Mar → | ||
| 13–5 | -0.04 | 28% | 24 Mar → | ||
| 13–9 | -0.02 | 41% | 19 Mar → | ||
| 11–13 | -0.02 | 10% | 19 Mar → | ||
| 8–13 | -0.01 | 21% | 15 Mar → | ||
| 12–12 | -0.02 | 24% | 15 Mar → | ||
| 8–13 | -0.00 | 19% | 24 Feb → | ||
| 12–12 | 0.01 | 14% | 24 Feb → | ||
| 10–13 | -0.02 | 29% | 24 Feb → | ||
| 13–10 | 0.06 | 24% | 20 Feb → | ||
| italy | 4–13 | -0.01 | 29% | 20 Feb → | |
| 11–13 | 0.01 | 22% | 20 Feb → | ||
| 11–13 | 0.01 | 16% | 19 Feb → | ||
| 12–12 | 0.02 | 21% | 19 Feb → | ||
| 3–13 | -0.03 | 9% | 13 Feb → | ||
| 9–13 | -0.05 | 17% | 13 Feb → | ||
| 5–13 | -0.04 | 21% | 13 Feb → | ||
| 13–11 | -0.01 | 13% | 12 Feb → | ||
| 13–10 | 0.04 | 11% | 12 Feb → | ||
| 10–13 | 0.01 | 25% | 12 Feb → | ||
| 13–5 | 0.06 | 15% | 7 Feb → | ||
| 13–5 | -0.03 | 12% | 7 Feb → | ||
| 2–10 | -0.07 | 20% | 6 Feb → | ||
| office | 4–13 | -0.05 | 30% | 6 Feb → | |
| 13–9 | 0.03 | 24% | 5 Feb → | ||
| 13–5 | 0.02 | 28% | 5 Feb → | ||
| 5–13 | -0.05 | 23% | 3 Feb → | ||
| 13–9 | -0.03 | 15% | 3 Feb → | ||
| 11–1 | 0.04 | 16% | 3 Feb → | ||
| 13–5 | -0.00 | 7% | 2 Feb → | ||
| 13–11 | -0.03 | 17% | 2 Feb → | ||
| 13–5 | 0.07 | 11% | 2 Feb → | ||
| alpine | 1–13 | -0.05 | 13% | 2 Feb → |
Match data via Leetify.