stirfry — CS2 Stats
76561199122649822[U:1:1162384094]
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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
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerStrong CT-side opener
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 s1mple 95% 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.
CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 66% on CT to 45% on T — the same duels are being taken with worse setups on the attacking side.
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 8.0/10 (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 | 37 | 21–16 | 57% | 0.04 | |
| C | 27 | 12–15 | 44% | 0.04 | |
| C | 11 | 4–7 | 36% | 0.03 | |
| D | 10 | 3–7 | 30% | -0.01 | |
| D | 9 | 2–7 | 22% | 0.00 | |
| — | 4 | 2–2 | 50% | 0.00 | |
| — | 2 | 2–0 | 100% | 0.06 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke 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 resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 148 | 53% | 1.06 | 16.5 |
| Dust2 | 96 | 48% | 1.10 | 16.6 |
| Inferno | 47 | 60% | 0.93 | 15.1 |
| Nuke | 42 | 60% | 1.21 | 16.3 |
| Ancient | 34 | 44% | 0.96 | 15.1 |
| Anubis | 28 | 68% | 1.10 | 17.8 |
| Overpass | 15 | 53% | 1.17 | 17.5 |
| Train | 12 | 42% | 1.16 | 18.7 |
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.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | -0.02 | 35% | 28 Aug → | ||
| 15–15 | 0.01 | 25% | 28 Aug → | ||
| 13–16 | -0.05 | 13% | 27 Aug → | ||
| 13–10 | -0.02 | 19% | 27 Aug → | ||
| 13–8 | 0.07 | 21% | 27 Aug → | ||
| 13–8 | 0.08 | 34% | 27 Aug → | ||
| 13–11 | -0.01 | 15% | 27 Aug → | ||
| 13–5 | 0.11 | 29% | 27 Aug → | ||
| 8–13 | -0.04 | 28% | 27 Aug → | ||
| 13–4 | -0.02 | 45% | 26 Aug → | ||
| 5–13 | -0.03 | 24% | 26 Aug → | ||
| 9–13 | 0.04 | 18% | 26 Aug → | ||
| 13–8 | 0.06 | 37% | 25 Aug → | ||
| 13–10 | 0.04 | 35% | 25 Aug → | ||
| 4–13 | -0.03 | 30% | 25 Aug → | ||
| 12–12 | 0.03 | 20% | 24 Aug → | ||
| 1–13 | -0.01 | 21% | 24 Aug → | ||
| 13–4 | 0.01 | 30% | 24 Aug → | ||
| 9–13 | 0.04 | 16% | 23 Aug → | ||
| 13–4 | 0.04 | 15% | 23 Aug → | ||
| 13–4 | 0.12 | 15% | 23 Aug → | ||
| 12–12 | 0.09 | 19% | 23 Aug → | ||
| 13–10 | 0.11 | 19% | 23 Aug → | ||
| 13–6 | 0.08 | 21% | 23 Aug → | ||
| 6–13 | 0.10 | 29% | 23 Aug → | ||
| 8–13 | 0.05 | 33% | 23 Aug → | ||
| 13–11 | 0.04 | 18% | 22 Aug → | ||
| 13–5 | 0.05 | 26% | 22 Aug → | ||
| 10–13 | -0.04 | 20% | 22 Aug → | ||
| 8–13 | 0.02 | 34% | 22 Aug → | ||
| 13–4 | 0.13 | 44% | 22 Aug → | ||
| 9–13 | -0.01 | 16% | 22 Aug → | ||
| 12–12 | -0.02 | 26% | 21 Aug → | ||
| 11–13 | -0.04 | 19% | 21 Aug → | ||
| 12–12 | 0.05 | 24% | 21 Aug → | ||
| 13–10 | 0.03 | 10% | 20 Aug → | ||
| 13–7 | 0.02 | 33% | 20 Aug → | ||
| 7–13 | -0.01 | 21% | 20 Aug → | ||
| 9–13 | -0.06 | 31% | 19 Aug → | ||
| 7–13 | -0.04 | 23% | 18 Aug → | ||
| 13–10 | 0.01 | 31% | 18 Aug → | ||
| 13–9 | 0.03 | 29% | 18 Aug → | ||
| 10–13 | 0.02 | 21% | 18 Aug → | ||
| 4–13 | 0.07 | 45% | 18 Aug → | ||
| 11–13 | -0.02 | 28% | 17 Aug → | ||
| 13–9 | -0.02 | 28% | 17 Aug → | ||
| 8–13 | 0.11 | 28% | 17 Aug → | ||
| 12–12 | 0.03 | 29% | 17 Aug → | ||
| 13–11 | 0.03 | 33% | 17 Aug → | ||
| 13–11 | 0.12 | 33% | 15 Aug → | ||
| 11–13 | -0.03 | 21% | 15 Aug → | ||
| 13–10 | 0.05 | 36% | 15 Aug → | ||
| 13–9 | 0.11 | 32% | 14 Aug → | ||
| 9–13 | -0.03 | 20% | 14 Aug → | ||
| 11–13 | 0.01 | 17% | 14 Aug → | ||
| 13–11 | -0.04 | 33% | 14 Aug → | ||
| 11–13 | -0.02 | 20% | 14 Aug → | ||
| 13–1 | 0.09 | 17% | 13 Aug → | ||
| 13–9 | 0.01 | 21% | 13 Aug → | ||
| 13–7 | 0.07 | 18% | 13 Aug → | ||
| 14–16 | -0.05 | 25% | 12 Aug → | ||
| 8–13 | -0.06 | 22% | 12 Aug → | ||
| 15–15 | 0.04 | 18% | 12 Aug → | ||
| 13–8 | 0.08 | 14% | 12 Aug → | ||
| 13–9 | 0.12 | 25% | 12 Aug → | ||
| 13–5 | -0.01 | 19% | 12 Aug → | ||
| 11–13 | 0.07 | 29% | 11 Aug → | ||
| 13–5 | -0.08 | 18% | 11 Aug → | ||
| 3–13 | 0.03 | 28% | 11 Aug → | ||
| 5–13 | -0.01 | 39% | 11 Aug → | ||
| 9–1 | 0.33 | 38% | 11 Aug → | ||
| 13–11 | -0.01 | 44% | 10 Aug → | ||
| 10–13 | -0.04 | 30% | 10 Aug → | ||
| 8–8 | -0.04 | 21% | 10 Aug → | ||
| 13–8 | -0.02 | 28% | 10 Aug → | ||
| 5–13 | 0.04 | 52% | 10 Aug → | ||
| 2–4 | 0.04 | 21% | 10 Aug → | ||
| 3–9 | -0.04 | 50% | 9 Aug → | ||
| 9–1 | 0.00 | 0% | 9 Aug → | ||
| 9–2 | 0.19 | 26% | 8 Aug → | ||
| 9–0 | 0.21 | 32% | 8 Aug → | ||
| 14–16 | 0.07 | 23% | 7 Aug → | ||
| 13–10 | 0.10 | 21% | 7 Aug → | ||
| 16–14 | 0.05 | 24% | 7 Aug → | ||
| 9–13 | -0.02 | 36% | 5 Aug → | ||
| 13–11 | 0.10 | 27% | 5 Aug → | ||
| 8–8 | -0.07 | 23% | 5 Aug → | ||
| 4–13 | -0.03 | 21% | 5 Aug → | ||
| 9–13 | 0.04 | 19% | 4 Aug → | ||
| 1–13 | -0.02 | 39% | 4 Aug → | ||
| 7–13 | 0.06 | 26% | 4 Aug → | ||
| 7–13 | 0.10 | 26% | 4 Aug → | ||
| 6–9 | 0.03 | 16% | 4 Aug → | ||
| 5–9 | -0.13 | 43% | 4 Aug → | ||
| 13–3 | 0.09 | 27% | 4 Aug → | ||
| 8–13 | -0.02 | 21% | 4 Aug → | ||
| 13–9 | 0.05 | 15% | 4 Aug → | ||
| 6–13 | -0.00 | 21% | 3 Aug → | ||
| 5–13 | -0.05 | 16% | 3 Aug → | ||
| 13–10 | 0.09 | 11% | 2 Aug → |
Match data via Leetify.