Stirfryrai — CS2 Stats
76561198042844668[U:1:82578940]
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=928), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 51.1% | 42.5% | 44.2% | above |
| Shot accuracy | 17.2% | 10.9% | 11.2% | above |
| Kill/death ratio | 1.31 | 0.99 | 1.04 | above |
| Match win rate | 44.7% | 44.2% | 45.3% | meets |
Across every metric we can compare, this profile already matches the typical Level 5 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 jL 95% playstyle similarity
Most alike: opening-duel success, positioning 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
Strengths
Aim. Aim score of 87 — the mechanical foundation is a clear strength.
Areas to improve
Reaction time. 604ms 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 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 29 | 14–15 | 48% | 0.05 |
 dust2 | B | 27 | 14–13 | 52% | 0.03 |
 mirage | C | 10 | 4–6 | 40% | 0.02 |
 inferno | D | 9 | 3–6 | 33% | 0.02 |
 nuke | A | 9 | 5–4 | 56% | 0.04 |
 anubis | A | 7 | 4–3 | 57% | 0.10 |
 ancient | A | 7 | 4–3 | 57% | 0.05 |
 overpass | — | 2 | 0–2 | 0% | 0.07 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno 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 resultsLLLWL
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.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| anubis | 14–16 | 0.07 | 25% | 16 Aug → | |
| anubis | 6–13 | 0.04 | 28% | 8 Aug → | |
| cache | 6–13 | 0.12 | 19% | 8 Aug → | |
| mirage | 13–11 | 0.06 | 33% | 7 Aug → | |
| dust2 | 13–6 | 0.11 | 23% | 6 Aug → | |
| anubis | 13–8 | 0.04 | 24% | 5 Aug → | |
| dust2 | 13–6 | 0.00 | 20% | 4 Aug → | |
| dust2 | 6–13 | 0.04 | 20% | 4 Aug → | |
| cache | 13–9 | 0.08 | 23% | 3 Aug → | |
| dust2 | 13–4 | 0.11 | 19% | 3 Aug → | |
| ancient | 11–13 | 0.02 | 27% | 31 Jul → | |
| dust2 | 13–11 | 0.05 | 19% | 31 Jul → | |
| inferno | 5–13 | -0.03 | 28% | 30 Jul → | |
| anubis | 13–10 | 0.16 | 27% | 28 Jul → | |
| nuke | 13–4 | 0.06 | 41% | 28 Jul → | |
| dust2 | 8–13 | 0.01 | 20% | 28 Jul → | |
| cache | 13–3 | -0.03 | 30% | 27 Jul → | |
| dust2 | 11–13 | 0.03 | 40% | 27 Jul → | |
| dust2 | 13–9 | 0.02 | 32% | 27 Jul → | |
| cache | 9–13 | -0.02 | 24% | 27 Jul → | |
| dust2 | 11–13 | -0.00 | 28% | 27 Jul → | |
| mirage | 11–13 | 0.01 | 30% | 27 Jul → | |
| dust2 | 13–16 | -0.00 | 23% | 27 Jul → | |
| nuke | 13–7 | 0.02 | 21% | 27 Jul → | |
| ancient | 10–13 | 0.06 | 15% | 27 Jul → | |
| cache | 13–10 | 0.09 | 20% | 26 Jul → | |
| dust2 | 13–6 | 0.09 | 40% | 22 Jul → | |
| dust2 | 13–11 | 0.06 | 14% | 21 Jul → | |
| anubis | 13–7 | 0.27 | 32% | 19 Jul → | |
| cache | 13–8 | 0.11 | 32% | 19 Jul → | |
| ancient | 13–9 | 0.03 | 24% | 19 Jul → | |
| cache | 13–9 | 0.01 | 25% | 18 Jul → | |
| dust2 | 13–1 | 0.07 | 30% | 18 Jul → | |
| mirage | 11–13 | 0.04 | 35% | 17 Jul → | |
| nuke | 13–9 | 0.10 | 27% | 17 Jul → | |
| dust2 | 15–15 | 0.03 | 23% | 16 Jul → | |
| cache | 10–13 | 0.10 | 32% | 15 Jul → | |
| dust2 | 2–13 | -0.02 | 8% | 15 Jul → | |
| nuke | 8–13 | -0.02 | 28% | 14 Jul → | |
| nuke | 13–3 | 0.07 | 19% | 14 Jul → | |
| mirage | 8–13 | 0.01 | 35% | 13 Jul → | |
| mirage | 13–8 | 0.01 | 22% | 13 Jul → | |
| dust2 | 13–9 | 0.09 | 48% | 11 Jul → | |
| inferno | 8–13 | 0.07 | 30% | 11 Jul → | |
| cache | 3–13 | 0.02 | 65% | 11 Jul → | |
| inferno | 10–13 | -0.00 | 38% | 11 Jul → | |
| inferno | 8–13 | -0.07 | 25% | 11 Jul → | |
| cache | 13–9 | 0.04 | 35% | 10 Jul → | |
| dust2 | 8–13 | 0.03 | 35% | 10 Jul → | |
| dust2 | 13–4 | 0.10 | 30% | 9 Jul → | |
| nuke | 7–13 | 0.02 | 34% | 2 Jul → | |
| dust2 | 3–13 | -0.09 | 24% | 2 Jul → | |
| mirage | 8–13 | -0.00 | 21% | 30 Jun → | |
| dust2 | 13–9 | -0.04 | 23% | 29 Jun → | |
| nuke | 10–13 | -0.05 | 19% | 28 Jun → | |
| inferno | 13–9 | 0.04 | 21% | 27 Jun → | |
| ancient | 8–13 | -0.01 | 23% | 27 Jun → | |
| dust2 | 13–11 | 0.04 | 17% | 27 Jun → | |
| nuke | 3–13 | 0.00 | 26% | 27 Jun → | |
| nuke | 13–4 | 0.12 | 31% | 25 Jun → | |
| cache | 5–13 | 0.03 | 42% | 24 Jun → | |
| cache | 12–12 | 0.07 | 25% | 22 Jun → | |
| mirage | 13–11 | 0.08 | 33% | 21 Jun → | |
| overpass | 10–13 | 0.07 | 23% | 17 Jun → | |
| dust2 | 11–13 | 0.04 | 32% | 11 Jun → | |
| cache | 3–13 | -0.07 | 13% | 5 Jun → | |
| cache | 10–13 | 0.00 | 33% | 4 Jun → | |
| cache | 4–13 | -0.06 | 23% | 2 Jun → | |
| cache | 13–5 | 0.07 | 30% | 2 Jun → | |
| cache | 13–8 | 0.14 | 41% | 27 May → | |
| overpass | 9–13 | 0.08 | 28% | 25 May → | |
| ancient | 13–7 | 0.13 | 19% | 25 May → | |
| dust2 | 13–9 | 0.08 | 30% | 24 May → | |
| inferno | 13–6 | 0.06 | 35% | 24 May → | |
| mirage | 4–13 | -0.06 | 16% | 24 May → | |
| mirage | 13–0 | 0.06 | 33% | 23 May → | |
| cache | 13–1 | 0.13 | 57% | 20 May → | |
| cache | 9–13 | -0.03 | 25% | 14 May → | |
| cache | 13–10 | 0.08 | 28% | 14 May → | |
| cache | 3–13 | -0.01 | 30% | 12 May → | |
| dust2 | 10–13 | 0.04 | 21% | 11 May → | |
| cache | 3–13 | 0.01 | 33% | 11 May → | |
| dust2 | 10–13 | -0.03 | 30% | 10 May → | |
| inferno | 13–7 | 0.11 | 38% | 10 May → | |
| cache | 13–6 | 0.07 | 19% | 8 May → | |
| mirage | 11–13 | -0.04 | 23% | 8 May → | |
| cache | 13–4 | 0.12 | 27% | 5 May → | |
| cache | 6–13 | 0.07 | 33% | 5 May → | |
| cache | 13–10 | 0.08 | 23% | 4 May → | |
| cache | 9–6 | 0.11 | 42% | 1 May → | |
| cache | 12–12 | 0.10 | 32% | 30 Apr → | |
| cache | 2–13 | -0.02 | 30% | 29 Apr → | |
| ancient | 16–12 | 0.06 | 38% | 28 Apr → | |
| ancient | 16–12 | 0.04 | 25% | 28 Apr → | |
| inferno | 8–13 | 0.03 | 49% | 27 Apr → | |
| anubis | 13–9 | 0.08 | 18% | 27 Apr → | |
| inferno | 11–13 | 0.00 | 24% | 27 Apr → | |
| dust2 | 13–6 | 0.02 | 25% | 25 Apr → | |
| dust2 | 7–13 | -0.04 | 15% | 25 Apr → | |
| anubis | 11–13 | 0.05 | 36% | 12 Apr → |
Match data via Leetify.
