TreeeZzz — CS2 Stats
76561198867266868[U:1:907001140]
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,146), 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 | Level 8 median | Level 9 median | vs Level 9 |
|---|---|---|---|---|
| Headshot rate | 64.1% | 47.2% | 49.0% | above |
| Shot accuracy | 3.5% | 12.3% | 13.1% | 9.6% short |
| Kill/death ratio | 1.25 | 1.07 | 1.08 | above |
| Match win rate | 43.1% | 46.3% | 46.9% | 3.9% short |
This profile matches the typical Level 9 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 9 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: +0pp win rate · -0.02 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Sharp aimer
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 89% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower positioning 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
Positioning. Positioning trails aim by 49 points — deaths here waste a strong aim profile.
Reaction time. 598ms 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 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 24 | 10–14 | 42% | -0.01 | |
| C | 22 | 9–13 | 41% | -0.00 | |
| D | 19 | 5–14 | 26% | -0.01 | |
| D | 12 | 4–8 | 33% | -0.01 | |
| B | 11 | 5–6 | 45% | 0.02 | |
| D | 5 | 0–5 | 0% | -0.04 | |
| — | 4 | 4–0 | 100% | 0.04 | |
| — | 3 | 1–2 | 33% | 0.04 |
Across the last 100 tracked matches.
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 resultsWLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 139 | 52% | 1.06 | 14.7 |
| Ancient | 118 | 51% | 1.02 | 15.6 |
| Inferno | 91 | 45% | 1.01 | 14.3 |
| Dust2 | 79 | 42% | 0.88 | 12.4 |
| Anubis | 77 | 66% | 1.11 | 15.8 |
| Nuke | 50 | 46% | 0.99 | 14.7 |
| Overpass | 49 | 61% | 0.95 | 14.1 |
| Vertigo | 7 | 29% | 1.23 | 17.4 |
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 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 28.1971% — 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 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 0–7 | -0.05 | 0% | 23 Aug → | ||
| 0–5 | -0.06 | 67% | 22 Aug → | ||
| 9–13 | -0.00 | 14% | 22 Aug → | ||
| 13–8 | -0.01 | 17% | 21 Jul → | ||
| 4–13 | -0.06 | 29% | 21 Jul → | ||
| 1–8 | -0.03 | 38% | 15 Jul → | ||
| 15–15 | -0.02 | 28% | 15 Jul → | ||
| 13–9 | -0.05 | 13% | 15 Jul → | ||
| 7–13 | -0.02 | 12% | 15 Jul → | ||
| 13–2 | 0.12 | 20% | 2 Jul → | ||
| 7–13 | -0.09 | 17% | 1 Jul → | ||
| 7–13 | 0.02 | 20% | 1 Jul → | ||
| 6–13 | -0.07 | 21% | 29 Jun → | ||
| 11–13 | 0.01 | 23% | 29 Jun → | ||
| 15–15 | 0.01 | 15% | 29 Jun → | ||
| 13–6 | 0.06 | 22% | 29 Jun → | ||
| 13–8 | 0.12 | 10% | 28 Jun → | ||
| 5–13 | -0.06 | 23% | 28 Jun → | ||
| 13–5 | 0.00 | 14% | 28 Jun → | ||
| 15–15 | 0.02 | 21% | 24 Jun → | ||
| 13–7 | 0.06 | 30% | 24 Jun → | ||
| 13–9 | -0.00 | 23% | 24 Jun → | ||
| 11–13 | 0.01 | 13% | 24 Jun → | ||
| 16–14 | 0.04 | 22% | 24 Jun → | ||
| 13–3 | 0.10 | 33% | 24 Jun → | ||
| 13–3 | 0.01 | 20% | 24 Jun → | ||
| 3–13 | -0.05 | 21% | 23 Jun → | ||
| 11–13 | -0.05 | 20% | 23 Jun → | ||
| 10–13 | -0.03 | 21% | 23 Jun → | ||
| 9–13 | -0.06 | 19% | 23 Jun → | ||
| 5–13 | -0.06 | 23% | 22 Jun → | ||
| 10–13 | 0.04 | 26% | 15 Jun → | ||
| 13–7 | 0.04 | 21% | 15 Jun → | ||
| 8–13 | -0.03 | 23% | 15 Jun → | ||
| 7–13 | -0.05 | 24% | 14 Jun → | ||
| 13–5 | 0.10 | 24% | 14 Jun → | ||
| 13–8 | 0.11 | 31% | 14 Jun → | ||
| 16–12 | -0.01 | 20% | 11 Jun → | ||
| 8–13 | -0.07 | 15% | 11 Jun → | ||
| 13–8 | -0.05 | 10% | 11 Jun → | ||
| 8–0 | 0.01 | 8% | 11 Jun → | ||
| 10–13 | 0.02 | 9% | 11 Jun → | ||
| 16–12 | -0.02 | 12% | 30 May → | ||
| 9–13 | -0.04 | 16% | 25 May → | ||
| 9–13 | -0.06 | 11% | 25 May → | ||
| 13–11 | 0.08 | 16% | 25 May → | ||
| 13–7 | 0.12 | 22% | 25 May → | ||
| 6–13 | -0.01 | 14% | 21 May → | ||
| 13–6 | 0.02 | 18% | 21 May → | ||
| 13–7 | -0.06 | 17% | 21 May → | ||
| 16–14 | -0.02 | 14% | 21 May → | ||
| 15–15 | 0.02 | 20% | 19 May → | ||
| 13–11 | 0.06 | 23% | 16 May → | ||
| 13–8 | -0.06 | 16% | 16 May → | ||
| 1–13 | -0.10 | 5% | 16 May → | ||
| 10–13 | -0.03 | 18% | 15 May → | ||
| 10–13 | 0.01 | 15% | 9 May → | ||
| 9–13 | 0.03 | 21% | 9 May → | ||
| 8–13 | 0.08 | 18% | 6 May → | ||
| 10–13 | -0.04 | 20% | 6 May → | ||
| 7–13 | 0.00 | 0% | 29 Apr → | ||
| 13–4 | 0.13 | 29% | 28 Apr → | ||
| 11–13 | -0.00 | 27% | 28 Apr → | ||
| 13–7 | 0.02 | 12% | 28 Apr → | ||
| 13–5 | -0.02 | 9% | 26 Apr → | ||
| 13–7 | -0.00 | 15% | 26 Apr → | ||
| 13–3 | -0.03 | 8% | 25 Apr → | ||
| 25–22 | -0.04 | 17% | 23 Apr → | ||
| 11–13 | 0.05 | 20% | 23 Apr → | ||
| 13–16 | -0.01 | 14% | 22 Apr → | ||
| 10–13 | -0.04 | 22% | 22 Apr → | ||
| 12–16 | -0.02 | 24% | 21 Apr → | ||
| 10–13 | 0.01 | 9% | 21 Apr → | ||
| 10–13 | -0.02 | 17% | 21 Apr → | ||
| 9–13 | -0.03 | 19% | 21 Apr → | ||
| 8–13 | 0.02 | 18% | 20 Apr → | ||
| 4–13 | 0.03 | 36% | 20 Apr → | ||
| 7–13 | -0.02 | 26% | 19 Apr → | ||
| 10–13 | 0.00 | 16% | 14 Apr → | ||
| 7–13 | -0.01 | 15% | 14 Apr → | ||
| 5–13 | -0.08 | 4% | 10 Apr → | ||
| 14–16 | -0.01 | 15% | 9 Apr → | ||
| 13–5 | -0.02 | 44% | 9 Apr → | ||
| 11–13 | -0.00 | 20% | 9 Apr → | ||
| 3–13 | -0.06 | 13% | 8 Apr → | ||
| 8–13 | -0.02 | 3% | 8 Apr → | ||
| 13–9 | 0.00 | 23% | 7 Apr → | ||
| 13–6 | -0.01 | 26% | 7 Apr → | ||
| 2–13 | -0.01 | 11% | 6 Apr → | ||
| 8–13 | 0.01 | 13% | 6 Apr → | ||
| 13–6 | 0.00 | 11% | 6 Apr → | ||
| 5–13 | 0.01 | 25% | 1 Apr → | ||
| 13–8 | 0.03 | 25% | 1 Apr → | ||
| 5–13 | -0.04 | 25% | 1 Apr → | ||
| 3–13 | -0.08 | 15% | 1 Apr → | ||
| 9–4 | 0.02 | 24% | 1 Apr → | ||
| 4–13 | -0.00 | 21% | 30 Mar → | ||
| 13–4 | 0.10 | 9% | 30 Mar → | ||
| 8–13 | -0.06 | 31% | 27 Mar → | ||
| 10–13 | 0.01 | 22% | 27 Mar → |
Match data via Leetify.