Tomi — CS2 Stats
76561198257044631[U:1:296778903]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.03 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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 s1mple 92% playstyle similarity
Most alike: opening-fight frequency, aim profile.
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 100 — the mechanical foundation is a clear strength.
CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 7.1/10 (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 |
|---|---|---|---|---|---|
| S | 30 | 20–10 | 67% | 0.05 | |
| S | 21 | 16–5 | 76% | 0.01 | |
| B | 14 | 7–7 | 50% | 0.05 | |
| S | 12 | 8–4 | 67% | 0.07 | |
| A | 11 | 7–4 | 64% | 0.06 | |
| A | 10 | 6–4 | 60% | 0.02 | |
| — | 2 | 2–0 | 100% | 0.22 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (50% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 14 | 29% | 0.63 | 10.5 |
| Dust2 | 6 | 0% | 0.82 | 12.5 |
| Inferno | 2 | 0% | 0.78 | 14.0 |
| Ancient | 1 | 0% | 0.31 | 5.0 |
| Nuke | 1 | 0% | 0.21 | 3.0 |
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.
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.3964 — below the 4 mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 0–8 | -0.04 | 50% | 22 Aug → | ||
| 1–13 | -0.04 | 0% | 22 Aug → | ||
| 6–13 | -0.05 | 25% | 22 Aug → | ||
| 3–13 | -0.09 | 9% | 17 Aug → | ||
| 0–13 | -0.05 | 10% | 17 Aug → | ||
| 7–13 | 0.21 | 64% | 16 Aug → | ||
| 8–13 | 0.10 | 44% | 15 Aug → | ||
| 2–13 | 0.13 | 61% | 15 Aug → | ||
| 15–15 | 0.17 | 75% | 15 Aug → | ||
| 13–6 | 0.15 | 45% | 15 Aug → | ||
| 1–13 | 0.06 | 80% | 14 Aug → | ||
| 16–12 | 0.22 | 42% | 14 Aug → | ||
| 6–13 | -0.00 | 37% | 11 Aug → | ||
| 11–13 | 0.06 | 62% | 11 Aug → | ||
| 13–9 | 0.19 | 21% | 11 Aug → | ||
| 13–4 | 0.08 | 26% | 11 Aug → | ||
| 1–13 | -0.02 | 83% | 10 Aug → | ||
| 13–5 | 0.10 | 56% | 10 Aug → | ||
| 13–9 | 0.07 | 32% | 10 Aug → | ||
| 8–13 | 0.01 | 38% | 10 Aug → | ||
| 13–8 | 0.03 | 44% | 10 Aug → | ||
| 13–8 | 0.11 | 42% | 10 Aug → | ||
| 2–13 | 0.02 | 50% | 10 Aug → | ||
| 11–13 | -0.00 | 17% | 10 Aug → | ||
| 13–11 | 0.08 | 48% | 9 Aug → | ||
| 13–6 | 0.27 | 48% | 9 Aug → | ||
| 13–6 | 0.08 | 43% | 9 Aug → | ||
| 13–5 | 0.08 | 61% | 9 Aug → | ||
| 2–13 | 0.14 | 78% | 9 Aug → | ||
| 5–1 | 0.11 | 69% | 8 Aug → | ||
| 13–0 | 0.07 | 87% | 8 Aug → | ||
| 5–2 | 0.08 | 100% | 8 Aug → | ||
| 13–4 | 0.08 | 74% | 8 Aug → | ||
| 13–3 | 0.12 | 36% | 8 Aug → | ||
| 9–13 | 0.02 | 36% | 8 Aug → | ||
| 13–6 | 0.06 | 29% | 8 Aug → | ||
| 3–13 | 0.10 | 71% | 8 Aug → | ||
| 10–13 | -0.00 | 55% | 8 Aug → | ||
| 13–8 | 0.16 | 62% | 8 Aug → | ||
| 13–2 | 0.31 | 83% | 8 Aug → | ||
| 13–7 | 0.21 | 62% | 8 Aug → | ||
| 9–13 | 0.11 | 40% | 8 Aug → | ||
| 13–2 | 0.11 | 33% | 8 Aug → | ||
| 13–11 | 0.06 | 38% | 7 Aug → | ||
| 16–12 | 0.07 | 52% | 7 Aug → | ||
| 13–4 | 0.14 | 86% | 7 Aug → | ||
| 13–0 | 0.22 | 79% | 7 Aug → | ||
| 13–1 | 0.13 | 80% | 7 Aug → | ||
| 13–5 | 0.16 | 76% | 7 Aug → | ||
| 13–7 | 0.11 | 56% | 7 Aug → | ||
| 13–8 | 0.04 | 19% | 7 Aug → | ||
| 13–6 | -0.00 | 12% | 7 Aug → | ||
| 13–1 | 0.13 | 62% | 7 Aug → | ||
| 13–1 | 0.08 | 35% | 7 Aug → | ||
| 13–8 | -0.00 | 18% | 7 Aug → | ||
| 13–5 | 0.07 | 26% | 7 Aug → | ||
| 2–13 | -0.02 | 16% | 7 Aug → | ||
| 13–2 | 0.10 | 19% | 7 Aug → | ||
| 13–5 | -0.02 | 16% | 7 Aug → | ||
| 13–0 | 0.13 | 13% | 7 Aug → | ||
| 11–13 | -0.05 | 38% | 5 Aug → | ||
| 13–8 | 0.02 | 8% | 5 Aug → | ||
| 15–15 | -0.06 | 22% | 5 Aug → | ||
| 6–13 | -0.10 | 10% | 5 Aug → | ||
| 10–13 | -0.03 | 16% | 4 Aug → | ||
| 10–13 | -0.05 | 10% | 4 Aug → | ||
| 13–5 | -0.03 | 12% | 4 Aug → | ||
| 16–14 | -0.05 | 11% | 4 Aug → | ||
| 13–4 | -0.05 | 21% | 3 Aug → | ||
| 13–5 | 0.03 | 12% | 3 Aug → | ||
| 13–8 | -0.08 | 12% | 3 Aug → | ||
| 13–6 | 0.00 | 18% | 3 Aug → | ||
| 10–13 | -0.01 | 22% | 3 Aug → | ||
| 13–9 | 0.06 | 27% | 3 Aug → | ||
| 11–13 | -0.02 | 13% | 3 Aug → | ||
| 15–15 | -0.00 | 12% | 2 Aug → | ||
| 16–14 | -0.03 | 9% | 2 Aug → | ||
| 13–6 | 0.01 | 23% | 2 Aug → | ||
| 13–9 | 0.02 | 19% | 2 Aug → | ||
| 13–1 | 0.05 | 24% | 2 Aug → | ||
| 10–13 | -0.00 | 15% | 2 Aug → | ||
| 13–9 | -0.03 | 9% | 2 Aug → | ||
| 11–13 | 0.06 | 14% | 2 Aug → | ||
| 13–1 | 0.04 | 14% | 2 Aug → | ||
| 2–13 | -0.12 | 50% | 2 Aug → | ||
| 13–5 | 0.08 | 25% | 1 Aug → | ||
| 6–5 | -0.02 | 50% | 1 Aug → | ||
| 13–4 | -0.11 | 16% | 1 Aug → | ||
| 16–12 | -0.00 | 11% | 1 Aug → | ||
| 16–12 | 0.07 | 14% | 1 Aug → | ||
| 13–3 | 0.03 | 17% | 1 Aug → | ||
| 13–5 | 0.05 | 14% | 31 Jul → | ||
| 13–6 | -0.10 | 0% | 31 Jul → | ||
| 13–5 | 0.07 | 17% | 31 Jul → | ||
| 13–6 | 0.03 | 19% | 31 Jul → | ||
| 13–4 | -0.02 | 13% | 31 Jul → | ||
| 13–0 | 0.03 | 19% | 31 Jul → | ||
| 9–6 | -0.07 | 21% | 31 Jul → | ||
| 13–10 | -0.11 | 13% | 30 Jul → | ||
| 13–9 | -0.03 | 20% | 30 Jul → |
Match data via Leetify.
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