Taz — CS2 Stats
76561198057012886[U:1:96747158]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +40pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong 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 b1t 94% playstyle similarity
Most alike: opening-duel success, utility contribution.
Where you differ: 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
T-side openings. Opening success drops from 52% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 556ms 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 6.6/10 (Solid), 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 | 36 | 20–16 | 56% | -0.00 | |
| C | 17 | 7–10 | 41% | -0.01 | |
| A | 14 | 9–5 | 64% | 0.00 | |
| A | 8 | 5–3 | 63% | -0.01 | |
| A | 8 | 5–3 | 63% | 0.03 | |
| D | 8 | 0–8 | 0% | -0.01 | |
| S | 5 | 5–0 | 100% | 0.01 | |
| — | 3 | 1–2 | 33% | 0.01 | |
| — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (0% over 8). Start with the 6 essential Ancient 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 resultsLLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 19 | 47% | 1.14 | 15.1 |
| Ancient | 8 | 38% | 1.10 | 16.1 |
| Dust2 | 8 | 62% | 1.44 | 20.1 |
| Nuke | 7 | 43% | 1.21 | 19.9 |
| Inferno | 6 | 33% | 1.12 | 19.7 |
| Anubis | 4 | 50% | 1.48 | 23.3 |
| Cache | 3 | 100% | 1.78 | 24.3 |
| Overpass | 3 | 0% | 0.86 | 14.0 |
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 →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4867 — below the 0.5 mark we flag
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 34.5084% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
0% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 1–13 | -0.07 | 13% | 18 Aug → | ||
| 7–13 | -0.05 | 11% | 17 Aug → | ||
| 13–3 | 0.00 | 17% | 17 Aug → | ||
| 13–3 | 0.06 | 14% | 17 Aug → | ||
| 16–14 | 0.06 | 13% | 17 Aug → | ||
| 4–13 | -0.13 | 9% | 17 Aug → | ||
| 13–11 | -0.00 | 12% | 16 Aug → | ||
| 13–0 | 0.07 | 13% | 16 Aug → | ||
| 16–14 | -0.03 | 20% | 16 Aug → | ||
| 13–10 | -0.05 | 17% | 16 Aug → | ||
| 13–4 | 0.01 | 6% | 16 Aug → | ||
| 8–13 | -0.04 | 20% | 15 Aug → | ||
| 13–10 | -0.01 | 27% | 2 Aug → | ||
| 10–13 | -0.02 | 7% | 2 Aug → | ||
| 7–13 | -0.02 | 12% | 1 Aug → | ||
| 13–4 | -0.03 | 12% | 1 Aug → | ||
| 15–19 | 0.02 | 14% | 30 Jul → | ||
| 9–13 | -0.02 | 11% | 30 Jul → | ||
| 10–13 | 0.04 | 14% | 30 Jul → | ||
| 10–13 | -0.03 | 15% | 30 Jul → | ||
| 13–8 | -0.05 | 8% | 29 Jul → | ||
| 13–10 | -0.02 | 26% | 29 Jul → | ||
| 7–13 | -0.03 | 21% | 10 May → | ||
| 13–11 | 0.14 | 21% | 10 May → | ||
| 11–13 | -0.01 | 18% | 9 May → | ||
| 9–13 | -0.01 | 20% | 9 May → | ||
| 13–11 | 0.06 | 12% | 9 May → | ||
| 13–3 | 0.12 | 27% | 6 May → | ||
| 19–17 | 0.01 | 16% | 3 May → | ||
| 13–9 | 0.03 | 13% | 2 May → | ||
| 13–3 | 0.09 | 29% | 2 May → | ||
| 10–13 | -0.03 | 12% | 1 May → | ||
| 8–1 | 0.01 | 38% | 29 Apr → | ||
| 13–11 | 0.05 | 25% | 28 Apr → | ||
| 2–6 | -0.03 | 8% | 28 Apr → | ||
| 4–13 | -0.08 | 21% | 26 Apr → | ||
| 6–13 | -0.03 | 18% | 26 Apr → | ||
| 13–8 | -0.05 | 7% | 24 Apr → | ||
| 13–6 | 0.01 | 16% | 24 Apr → | ||
| 8–13 | -0.03 | 16% | 23 Apr → | ||
| 13–11 | -0.00 | 15% | 23 Apr → | ||
| 11–13 | -0.10 | 16% | 23 Apr → | ||
| 10–13 | -0.00 | 11% | 23 Apr → | ||
| 13–10 | -0.01 | 14% | 20 Apr → | ||
| 13–5 | 0.02 | 9% | 3 Apr → | ||
| 13–8 | 0.02 | 13% | 30 Mar → | ||
| 9–13 | -0.06 | 9% | 30 Mar → | ||
| 13–11 | -0.03 | 17% | 30 Mar → | ||
| 9–13 | -0.02 | 23% | 29 Mar → | ||
| 13–8 | 0.01 | 10% | 29 Mar → | ||
| 2–13 | -0.01 | 26% | 29 Mar → | ||
| 11–13 | 0.01 | 23% | 29 Mar → | ||
| 13–11 | -0.01 | 20% | 27 Mar → | ||
| 12–12 | 0.02 | 20% | 25 Mar → | ||
| 13–9 | 0.04 | 34% | 23 Mar → | ||
| 14–16 | 0.02 | 22% | 23 Mar → | ||
| 14–16 | 0.00 | 26% | 22 Mar → | ||
| 13–3 | -0.01 | 18% | 22 Mar → | ||
| 4–13 | -0.07 | 15% | 22 Mar → | ||
| 9–13 | -0.08 | 21% | 22 Mar → | ||
| 15–15 | -0.03 | 13% | 22 Mar → | ||
| 13–8 | 0.03 | 23% | 21 Mar → | ||
| 13–16 | -0.02 | 10% | 21 Mar → | ||
| 13–10 | -0.07 | 7% | 21 Mar → | ||
| 13–11 | 0.08 | 26% | 21 Mar → | ||
| 13–8 | 0.05 | 15% | 20 Mar → | ||
| 13–8 | -0.03 | 18% | 19 Mar → | ||
| 9–13 | 0.07 | 14% | 18 Mar → | ||
| 9–13 | 0.02 | 20% | 18 Mar → | ||
| 12–12 | -0.00 | 22% | 17 Mar → | ||
| 2–13 | -0.03 | 22% | 17 Mar → | ||
| 12–12 | -0.03 | 14% | 17 Mar → | ||
| 13–6 | 0.03 | 11% | 17 Mar → | ||
| 11–13 | -0.04 | 26% | 16 Mar → | ||
| 13–10 | 0.04 | 13% | 16 Feb → | ||
| 11–13 | 0.01 | 12% | 16 Feb → | ||
| 13–8 | 0.05 | 11% | 15 Feb → | ||
| 8–13 | -0.03 | 12% | 15 Feb → | ||
| 13–10 | -0.05 | 9% | 15 Feb → | ||
| 13–5 | -0.02 | 12% | 15 Feb → | ||
| 16–12 | 0.04 | 17% | 14 Feb → | ||
| 13–4 | 0.13 | 21% | 14 Feb → | ||
| 8–13 | 0.04 | 19% | 14 Feb → | ||
| 4–13 | -0.06 | 15% | 8 Feb → | ||
| 1–13 | -0.11 | 21% | 8 Feb → | ||
| 13–8 | 0.00 | 16% | 8 Feb → | ||
| 13–5 | 0.14 | 17% | 8 Feb → | ||
| 13–3 | 0.09 | 19% | 8 Feb → | ||
| 4–13 | 0.01 | 15% | 8 Feb → | ||
| 13–16 | -0.02 | 12% | 6 Feb → | ||
| 9–13 | -0.02 | 30% | 6 Feb → | ||
| 13–4 | 0.04 | 23% | 5 Feb → | ||
| 11–13 | -0.07 | 11% | 5 Feb → | ||
| 13–9 | 0.03 | 29% | 12 Jan → | ||
| 13–11 | -0.02 | 16% | 15 Dec → | ||
| 13–7 | -0.04 | 34% | 15 Dec → | ||
| 13–10 | -0.01 | 16% | 14 Dec → | ||
| 4–13 | -0.01 | 7% | 9 Dec → | ||
| 13–11 | 0.02 | 15% | 8 Dec → | ||
| 3–13 | -0.05 | 14% | 8 Dec → |
Match data via Leetify.