ッ Tararist ッ — CS2 Stats
76561199775194789[U:1:1814929061]
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=404), 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 | Light Blue band median | Blue band median | vs Blue band |
|---|---|---|---|---|
| Headshot rate | 43.0% | 40.1% | 41.7% | above |
| Shot accuracy | 0.0% | 7.6% | 8.8% | 8.8% short |
| Kill/death ratio | 0.72 | 0.92 | 0.97 | 0.25 short |
| Match win rate | 37.9% | 42.2% | 43.8% | 5.9% short |
This profile matches the typical Blue band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.00 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 60% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower utility contribution; 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. 710ms 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 2.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 25 | 9–16 | 36% | -0.02 | |
| C | 22 | 9–13 | 41% | -0.03 | |
| C | 20 | 7–13 | 35% | -0.01 | |
| B | 16 | 8–8 | 50% | -0.01 | |
| A | 9 | 5–4 | 56% | 0.00 | |
| D | 6 | 2–4 | 33% | -0.03 | |
| — | 1 | 0–1 | 0% | 0.04 | |
| shelter | — | 1 | 0–1 | 0% | -0.07 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (33% over 6). 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.
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 12.8165° — 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 13.9616% — below the 15% mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 709.5348ms — above the 700ms mark we flag
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 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 15–15 | -0.02 | 9% | 29 Aug → | ||
| 13–4 | 0.01 | 11% | 29 Aug → | ||
| 13–5 | -0.00 | 14% | 29 Aug → | ||
| 10–13 | -0.02 | 18% | 29 Aug → | ||
| 1–13 | -0.06 | 14% | 28 Aug → | ||
| 5–13 | -0.09 | 19% | 26 Aug → | ||
| 4–13 | -0.04 | 16% | 25 Aug → | ||
| 5–13 | -0.07 | 13% | 21 Aug → | ||
| 7–13 | -0.04 | 12% | 16 Aug → | ||
| 4–13 | -0.08 | 14% | 16 Aug → | ||
| 8–4 | -0.08 | 14% | 15 Aug → | ||
| 13–11 | -0.01 | 14% | 15 Aug → | ||
| 13–4 | -0.01 | 12% | 15 Aug → | ||
| 13–16 | -0.06 | 13% | 14 Aug → | ||
| 3–13 | -0.03 | 8% | 12 Aug → | ||
| 13–6 | -0.00 | 11% | 12 Aug → | ||
| 5–13 | -0.02 | 13% | 12 Aug → | ||
| 13–8 | 0.01 | 9% | 11 Aug → | ||
| 1–13 | -0.05 | 13% | 11 Aug → | ||
| 4–13 | -0.09 | 19% | 10 Aug → | ||
| 13–6 | 0.02 | 15% | 10 Aug → | ||
| 13–16 | -0.08 | 11% | 9 Aug → | ||
| 3–13 | -0.09 | 9% | 9 Aug → | ||
| 10–13 | -0.02 | 14% | 8 Aug → | ||
| 10–13 | -0.05 | 15% | 8 Aug → | ||
| 7–13 | -0.04 | 16% | 8 Aug → | ||
| 9–13 | -0.04 | 17% | 7 Aug → | ||
| 13–16 | -0.06 | 16% | 5 Aug → | ||
| 8–13 | -0.07 | 8% | 5 Aug → | ||
| 13–10 | 0.01 | 31% | 5 Aug → | ||
| 13–10 | -0.02 | 8% | 5 Aug → | ||
| 9–13 | -0.04 | 11% | 5 Aug → | ||
| 13–11 | -0.07 | 22% | 5 Aug → | ||
| 13–8 | -0.06 | 23% | 4 Aug → | ||
| 13–4 | 0.04 | 11% | 3 Aug → | ||
| 13–8 | 0.01 | 15% | 3 Aug → | ||
| 11–13 | -0.02 | 18% | 1 Aug → | ||
| 13–7 | 0.02 | 15% | 26 Jul → | ||
| 3–13 | -0.01 | 17% | 23 Jul → | ||
| 6–13 | 0.00 | 17% | 22 Jul → | ||
| 13–10 | -0.07 | 16% | 22 Jul → | ||
| 16–13 | -0.05 | 13% | 21 Jul → | ||
| 5–13 | -0.02 | 10% | 21 Jul → | ||
| 13–10 | -0.03 | 26% | 20 Jul → | ||
| 13–6 | -0.03 | 11% | 20 Jul → | ||
| 13–6 | 0.00 | 12% | 19 Jul → | ||
| 7–13 | -0.03 | 22% | 19 Jul → | ||
| 10–13 | 0.01 | 10% | 19 Jul → | ||
| 5–13 | -0.03 | 18% | 18 Jul → | ||
| 14–16 | -0.08 | 11% | 18 Jul → | ||
| 15–15 | -0.05 | 14% | 18 Jul → | ||
| 13–11 | 0.05 | 15% | 17 Jul → | ||
| 11–13 | 0.04 | 8% | 16 Jul → | ||
| 13–5 | 0.06 | 6% | 16 Jul → | ||
| 13–5 | 0.07 | 9% | 16 Jul → | ||
| 13–9 | 0.08 | 9% | 16 Jul → | ||
| 8–13 | 0.01 | 20% | 16 Jul → | ||
| 9–13 | -0.09 | 12% | 13 Jul → | ||
| 8–13 | -0.03 | 10% | 13 Jul → | ||
| 9–13 | -0.04 | 7% | 13 Jul → | ||
| 13–16 | -0.05 | 15% | 13 Jul → | ||
| 13–9 | -0.02 | 23% | 13 Jul → | ||
| 3–13 | -0.07 | 27% | 12 Jul → | ||
| 5–13 | -0.04 | 21% | 12 Jul → | ||
| 10–13 | -0.02 | 15% | 12 Jul → | ||
| 10–13 | -0.07 | 7% | 12 Jul → | ||
| 10–13 | -0.02 | 27% | 12 Jul → | ||
| 13–8 | -0.10 | 12% | 12 Jul → | ||
| 13–9 | -0.04 | 5% | 12 Jul → | ||
| 9–13 | -0.06 | 15% | 12 Jul → | ||
| 10–13 | -0.08 | 4% | 12 Jul → | ||
| 13–10 | -0.04 | 7% | 12 Jul → | ||
| 13–6 | -0.05 | 11% | 12 Jul → | ||
| 1–13 | 0.02 | 11% | 11 Jul → | ||
| 9–13 | -0.00 | 8% | 11 Jul → | ||
| 16–14 | -0.02 | 12% | 11 Jul → | ||
| 13–8 | -0.05 | 12% | 11 Jul → | ||
| 8–13 | -0.02 | 14% | 11 Jul → | ||
| 15–15 | 0.07 | 25% | 11 Jul → | ||
| 10–13 | 0.01 | 25% | 11 Jul → | ||
| 5–10 | 0.24 | 33% | 11 Jul → | ||
| 13–11 | 0.17 | 18% | 11 Jul → | ||
| 13–8 | -0.01 | 15% | 11 Jul → | ||
| 13–6 | 0.02 | 11% | 11 Jul → | ||
| 13–10 | 0.08 | 14% | 10 Jul → | ||
| 13–5 | -0.05 | 8% | 10 Jul → | ||
| 10–13 | -0.03 | 15% | 10 Jul → | ||
| 13–5 | 0.03 | 8% | 10 Jul → | ||
| 13–2 | 0.04 | 2% | 10 Jul → | ||
| 4–13 | -0.06 | 10% | 10 Jul → | ||
| 13–16 | -0.02 | 19% | 9 Jul → | ||
| 5–13 | 0.02 | 28% | 9 Jul → | ||
| shelter | 6–13 | -0.07 | 18% | 9 Jul → | |
| 6–13 | -0.05 | 15% | 8 Jul → | ||
| 1–13 | -0.04 | 24% | 8 Jul → | ||
| 12–12 | -0.02 | 12% | 8 Jul → | ||
| 9–13 | -0.05 | 15% | 7 Jul → | ||
| 9–7 | 0.05 | 24% | 7 Jul → | ||
| 13–7 | 0.03 | 33% | 6 Jul → | ||
| 6–13 | -0.02 | 15% | 6 Jul → |
Match data via Leetify.
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