FI — CS2 Stats
76561199168249155[U:1:1207983427]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerLimited utility dependence
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 92% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: 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
Strengths
Aim. Aim score of 88 — the mechanical foundation is a clear strength.
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. 551ms 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 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 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 | 19 | 11–8 | 58% | 0.02 | |
| C | 18 | 7–11 | 39% | 0.07 | |
| C | 15 | 6–9 | 40% | 0.05 | |
| A | 14 | 8–6 | 57% | 0.05 | |
| A | 10 | 6–4 | 60% | 0.04 | |
| A | 9 | 5–4 | 56% | 0.04 | |
| S | 8 | 8–0 | 100% | 0.05 | |
| — | 4 | 1–3 | 25% | 0.05 | |
| — | 3 | 1–2 | 33% | 0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
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.
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.3949 — below the 4 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–12 | 0.08 | 24% | 12 Aug → | ||
| 13–9 | 0.01 | 11% | 11 Aug → | ||
| 12–3 | 0.06 | 29% | 10 Aug → | ||
| 2–13 | -0.05 | 14% | 10 Aug → | ||
| 11–13 | 0.07 | 11% | 8 Aug → | ||
| 13–8 | 0.04 | 22% | 7 Aug → | ||
| 13–2 | 0.17 | 19% | 7 Aug → | ||
| 13–10 | 0.08 | 10% | 5 Aug → | ||
| 13–5 | 0.04 | 28% | 5 Aug → | ||
| 9–13 | -0.06 | 10% | 5 Aug → | ||
| 13–7 | 0.01 | 11% | 5 Aug → | ||
| 3–13 | -0.03 | 25% | 5 Aug → | ||
| 9–13 | 0.01 | 23% | 5 Aug → | ||
| 5–13 | 0.01 | 35% | 4 Aug → | ||
| 9–13 | 0.03 | 19% | 4 Aug → | ||
| 13–8 | 0.17 | 27% | 4 Aug → | ||
| 13–9 | 0.04 | 20% | 3 Aug → | ||
| 6–13 | 0.03 | 20% | 2 Aug → | ||
| 13–7 | 0.05 | 15% | 29 Jul → | ||
| 7–1 | 0.21 | 14% | 20 Jul → | ||
| 13–9 | 0.01 | 20% | 19 Jul → | ||
| 4–13 | 0.02 | 24% | 19 Jul → | ||
| 9–13 | -0.01 | 12% | 19 Jul → | ||
| 3–9 | 0.10 | 43% | 18 Jul → | ||
| 9–2 | 0.26 | 14% | 18 Jul → | ||
| 13–8 | -0.02 | 18% | 18 Jul → | ||
| 4–13 | -0.03 | 14% | 18 Jul → | ||
| 13–10 | 0.03 | 22% | 16 Jul → | ||
| 13–11 | -0.00 | 13% | 15 Jul → | ||
| 13–8 | -0.01 | 24% | 14 Jul → | ||
| 13–7 | 0.02 | 10% | 13 Jul → | ||
| 13–9 | 0.01 | 14% | 13 Jul → | ||
| 7–13 | 0.08 | 27% | 12 Jul → | ||
| 13–8 | 0.13 | 17% | 12 Jul → | ||
| 13–7 | 0.10 | 16% | 11 Jul → | ||
| 13–9 | 0.07 | 11% | 10 Jul → | ||
| 13–10 | -0.01 | 13% | 10 Jul → | ||
| 11–13 | 0.12 | 17% | 9 Jul → | ||
| 8–13 | 0.01 | 14% | 9 Jul → | ||
| 2–10 | -0.01 | 25% | 8 Jul → | ||
| 8–13 | -0.02 | 11% | 8 Jul → | ||
| 12–12 | 0.02 | 22% | 7 Jul → | ||
| 13–7 | 0.01 | 24% | 7 Jul → | ||
| 13–6 | 0.04 | 18% | 30 Jun → | ||
| 13–10 | 0.03 | 22% | 30 Jun → | ||
| 3–13 | 0.04 | 21% | 30 Jun → | ||
| 1–13 | -0.02 | 14% | 30 Jun → | ||
| 13–10 | 0.05 | 24% | 25 Jun → | ||
| 13–9 | -0.03 | 9% | 25 Jun → | ||
| 8–13 | 0.05 | 16% | 24 Jun → | ||
| 13–11 | 0.07 | 28% | 21 Jun → | ||
| 12–12 | 0.07 | 20% | 20 Jun → | ||
| 13–9 | 0.11 | 26% | 19 Jun → | ||
| 3–2 | -0.01 | 22% | 18 Jun → | ||
| 13–7 | 0.08 | 18% | 12 Jun → | ||
| 13–9 | -0.02 | 16% | 9 Jun → | ||
| 2–13 | 0.12 | 20% | 9 Jun → | ||
| 9–13 | -0.02 | 17% | 4 Jun → | ||
| 9–13 | -0.03 | 26% | 24 May → | ||
| 11–12 | 0.08 | 24% | 22 May → | ||
| 8–13 | 0.03 | 26% | 22 May → | ||
| 12–12 | 0.02 | 21% | 22 May → | ||
| 13–6 | 0.08 | 22% | 22 May → | ||
| 13–2 | 0.05 | 23% | 21 May → | ||
| 8–13 | 0.04 | 11% | 18 May → | ||
| 13–9 | 0.08 | 22% | 18 May → | ||
| 6–4 | 0.18 | 17% | 18 May → | ||
| 15–15 | 0.04 | 24% | 17 May → | ||
| 13–8 | 0.10 | 28% | 13 May → | ||
| 7–9 | 0.02 | 16% | 11 May → | ||
| 13–9 | 0.13 | 21% | 11 May → | ||
| 13–16 | -0.02 | 9% | 10 May → | ||
| 13–2 | 0.05 | 17% | 10 May → | ||
| 2–13 | -0.04 | 9% | 10 May → | ||
| 13–3 | 0.09 | 20% | 10 May → | ||
| 13–6 | 0.03 | 23% | 9 May → | ||
| 10–13 | -0.04 | 32% | 7 May → | ||
| 7–13 | 0.05 | 24% | 7 May → | ||
| 13–8 | 0.09 | 25% | 6 May → | ||
| 10–13 | 0.01 | 21% | 4 May → | ||
| 12–12 | 0.01 | 18% | 4 May → | ||
| 13–10 | 0.07 | 12% | 4 May → | ||
| 10–13 | 0.13 | 25% | 4 May → | ||
| 13–8 | 0.01 | 15% | 3 May → | ||
| 8–13 | 0.05 | 18% | 3 May → | ||
| 13–11 | 0.08 | 27% | 3 May → | ||
| 13–11 | 0.10 | 11% | 1 May → | ||
| 6–13 | -0.03 | 18% | 1 May → | ||
| 13–7 | 0.18 | 28% | 1 May → | ||
| 16–13 | 0.01 | 29% | 30 Apr → | ||
| 13–8 | -0.04 | 17% | 29 Apr → | ||
| 9–13 | 0.02 | 27% | 29 Apr → | ||
| 12–12 | 0.05 | 28% | 28 Apr → | ||
| 4–13 | 0.03 | 22% | 28 Apr → | ||
| 6–9 | -0.04 | 22% | 26 Apr → | ||
| 13–6 | 0.06 | 25% | 26 Apr → | ||
| 13–7 | 0.14 | 29% | 26 Apr → | ||
| 6–13 | 0.08 | 25% | 23 Apr → | ||
| 13–2 | 0.14 | 19% | 21 Apr → | ||
| 4–13 | 0.05 | 24% | 21 Apr → |
Match data via Leetify.