TunaLV — CS2 Stats
LV76561198851974797[U:1:891709069]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.05 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 59% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower opening-fight frequency; 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. 660ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 61% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 1.9/10 (Learning), 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 |
|---|---|---|---|---|---|
| C | 30 | 12–18 | 40% | -0.03 | |
| C | 19 | 7–12 | 37% | -0.02 | |
| C | 13 | 5–8 | 38% | -0.02 | |
| D | 12 | 3–9 | 25% | -0.07 | |
| D | 9 | 3–6 | 33% | -0.06 | |
| D | 7 | 1–6 | 14% | -0.07 | |
| — | 2 | 1–1 | 50% | -0.05 | |
| — | 2 | 2–0 | 100% | -0.05 | |
| office | — | 2 | 1–1 | 50% | -0.03 |
| — | 2 | 2–0 | 100% | -0.02 | |
| — | 1 | 0–1 | 0% | -0.11 | |
| grail | — | 1 | 0–1 | 0% | -0.08 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLL
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.1425° — above the 12° mark we flag
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 10.636% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4849 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.06 | 13% | 19 Jul → | ||
| 5–13 | -0.11 | 6% | 14 Jul → | ||
| 5–13 | -0.08 | 15% | 16 Jun → | ||
| 7–13 | -0.11 | 14% | 9 Jun → | ||
| 9–13 | -0.11 | 13% | 9 Jun → | ||
| 3–13 | -0.09 | 8% | 8 Jun → | ||
| 10–13 | -0.09 | 14% | 6 Jun → | ||
| 6–13 | -0.09 | 0% | 19 May → | ||
| 13–8 | -0.11 | 0% | 13 Apr → | ||
| 4–13 | -0.05 | 14% | 13 Apr → | ||
| 11–13 | 0.01 | 11% | 28 Dec → | ||
| 13–5 | -0.03 | 6% | 23 Dec → | ||
| 11–13 | 0.02 | 8% | 23 Dec → | ||
| 11–13 | -0.10 | 7% | 21 Dec → | ||
| 8–13 | -0.05 | 17% | 21 Dec → | ||
| 11–13 | -0.02 | 18% | 17 Dec → | ||
| 13–9 | -0.02 | 4% | 8 Nov → | ||
| 13–7 | -0.02 | 15% | 1 Nov → | ||
| 10–13 | -0.05 | 10% | 7 Oct → | ||
| 3–13 | -0.12 | 17% | 7 Oct → | ||
| office | 6–13 | -0.09 | 4% | 6 Oct → | |
| 13–6 | -0.02 | 14% | 29 Sept → | ||
| 13–10 | -0.05 | 12% | 23 Sept → | ||
| 10–13 | -0.10 | 5% | 28 Aug → | ||
| 16–14 | -0.02 | 8% | 28 Aug → | ||
| 8–13 | -0.10 | 20% | 17 Aug → | ||
| 13–8 | 0.07 | 19% | 17 Aug → | ||
| 11–13 | -0.04 | 10% | 16 Aug → | ||
| 8–13 | -0.10 | 3% | 16 Aug → | ||
| 9–13 | -0.05 | 15% | 10 Aug → | ||
| 4–13 | -0.08 | 3% | 8 Aug → | ||
| 13–10 | -0.06 | 12% | 8 Aug → | ||
| 1–11 | -0.09 | 0% | 8 Aug → | ||
| 10–13 | -0.06 | 11% | 3 Aug → | ||
| 9–6 | -0.03 | 7% | 30 Jul → | ||
| 3–13 | -0.08 | 13% | 29 Jul → | ||
| 13–10 | -0.04 | 12% | 20 Jul → | ||
| 13–10 | -0.01 | 10% | 20 Jul → | ||
| 5–13 | -0.11 | 2% | 15 Jul → | ||
| 13–3 | 0.00 | 12% | 15 Jul → | ||
| 2–13 | -0.04 | 14% | 12 Jul → | ||
| 14–16 | -0.07 | 11% | 28 Jun → | ||
| 15–15 | -0.07 | 11% | 28 Jun → | ||
| 7–13 | 0.02 | 16% | 17 Jun → | ||
| 13–5 | 0.06 | 18% | 17 Jun → | ||
| 13–8 | -0.05 | 17% | 10 Jun → | ||
| 3–13 | -0.06 | 11% | 9 Jun → | ||
| 11–13 | -0.05 | 20% | 6 Jun → | ||
| 8–13 | 0.02 | 19% | 5 Jun → | ||
| 9–13 | 0.02 | 15% | 2 Jun → | ||
| 13–9 | -0.11 | 8% | 1 Jun → | ||
| 4–13 | -0.08 | 10% | 29 May → | ||
| 12–16 | -0.01 | 19% | 27 May → | ||
| 13–8 | 0.00 | 29% | 24 May → | ||
| 13–8 | -0.09 | 13% | 24 May → | ||
| 13–11 | 0.03 | 17% | 24 May → | ||
| 6–13 | -0.12 | 20% | 23 May → | ||
| 7–13 | -0.07 | 21% | 10 May → | ||
| 13–9 | -0.06 | 7% | 8 May → | ||
| grail | 8–13 | -0.08 | 14% | 8 May → | |
| 15–15 | -0.03 | 21% | 8 May → | ||
| 7–13 | -0.08 | 13% | 29 Apr → | ||
| 6–13 | -0.02 | 21% | 25 Apr → | ||
| 15–15 | -0.08 | 14% | 23 Apr → | ||
| 3–13 | 0.08 | 18% | 23 Apr → | ||
| 14–16 | -0.05 | 8% | 16 Apr → | ||
| 13–10 | 0.06 | 34% | 2 Apr → | ||
| 11–13 | -0.02 | 16% | 30 Mar → | ||
| 13–11 | 0.17 | 24% | 30 Mar → | ||
| 1–13 | -0.07 | 17% | 25 Mar → | ||
| 13–8 | 0.01 | 20% | 22 Mar → | ||
| 6–13 | -0.08 | 13% | 20 Mar → | ||
| 11–13 | -0.04 | 23% | 20 Mar → | ||
| 13–5 | -0.07 | 13% | 19 Mar → | ||
| 13–1 | 0.05 | 15% | 14 Mar → | ||
| 13–5 | -0.02 | 16% | 13 Mar → | ||
| 13–10 | -0.04 | 10% | 2 Mar → | ||
| 5–13 | 0.01 | 15% | 2 Mar → | ||
| 13–7 | -0.06 | 13% | 25 Feb → | ||
| 11–13 | 0.03 | 11% | 11 Feb → | ||
| office | 13–9 | 0.03 | 19% | 6 Feb → | |
| 11–13 | 0.01 | 26% | 6 Feb → | ||
| 13–8 | 0.02 | 22% | 5 Feb → | ||
| 13–2 | 0.11 | 23% | 5 Feb → | ||
| 13–11 | -0.05 | 7% | 4 Feb → | ||
| 3–13 | -0.04 | 17% | 1 Feb → | ||
| 9–13 | -0.02 | 17% | 31 Jan → | ||
| 13–7 | -0.05 | 25% | 31 Jan → | ||
| 7–13 | -0.08 | 18% | 26 Jan → | ||
| 13–4 | -0.02 | 10% | 24 Jan → | ||
| 13–8 | -0.07 | 19% | 24 Jan → | ||
| 3–13 | -0.03 | 11% | 7 Jan → | ||
| 13–2 | -0.03 | 22% | 2 Jan → | ||
| 11–13 | -0.06 | 9% | 3 Dec → | ||
| 12–12 | -0.03 | 23% | 27 Nov → | ||
| 9–13 | -0.03 | 16% | 27 Nov → | ||
| 2–13 | -0.10 | 7% | 27 Nov → | ||
| 10–13 | -0.05 | 15% | 5 Nov → | ||
| 13–4 | 0.02 | 7% | 5 Nov → | ||
| 9–13 | -0.02 | 13% | 4 Nov → |
Match data via Leetify.