Fast_Turtle00 — CS2 Stats
CX76561198297470348[U:1:337204620]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=1,109), 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 9 median | Level 10 median | vs Level 10 |
|---|---|---|---|---|
| Headshot rate | 51.4% | 49.0% | 52.0% | meets |
| Shot accuracy | 6.1% | 13.1% | 13.7% | 7.6% short |
| Kill/death ratio | 0.98 | 1.08 | 1.08 | 0.10 short |
| Match win rate | 47.1% | 46.9% | 48.8% | 1.7% short |
This profile matches the typical Level 10 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 10 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: -20pp win rate · +0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 ropz 88% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower opening-duel success; 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. 607ms 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 |
|---|---|---|---|---|---|
| B | 30 | 16–14 | 53% | 0.01 | |
| A | 21 | 13–8 | 62% | 0.00 | |
| B | 15 | 8–7 | 53% | 0.00 | |
| A | 14 | 9–5 | 64% | 0.01 | |
| C | 8 | 3–5 | 38% | -0.01 | |
| D | 5 | 1–4 | 20% | -0.03 | |
| — | 3 | 1–2 | 33% | -0.03 | |
| — | 2 | 0–2 | 0% | 0.06 | |
| alpine | — | 1 | 0–1 | 0% | 0.13 |
| — | 1 | 1–0 | 100% | -0.05 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis 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 resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 564 | 50% | 0.95 | 14.5 |
| Ancient | 358 | 53% | 0.97 | 14.7 |
| Dust2 | 305 | 48% | 0.98 | 15.0 |
| Nuke | 207 | 49% | 1.09 | 16.2 |
| Anubis | 183 | 50% | 1.07 | 16.0 |
| Vertigo | 152 | 53% | 1.17 | 16.7 |
| Overpass | 106 | 50% | 1.00 | 14.6 |
| Train | 48 | 60% | 1.05 | 15.8 |
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 36.5328% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | -0.04 | 18% | 28 Aug → | ||
| 6–13 | 0.03 | 29% | 27 Aug → | ||
| 13–16 | -0.01 | 27% | 27 Aug → | ||
| 13–11 | 0.03 | 24% | 22 Aug → | ||
| 13–9 | 0.05 | 35% | 21 Aug → | ||
| 13–4 | 0.04 | 18% | 19 Aug → | ||
| 7–13 | 0.10 | 29% | 16 Aug → | ||
| 13–10 | 0.04 | 22% | 16 Aug → | ||
| 2–13 | -0.01 | 29% | 13 Aug → | ||
| 13–3 | 0.02 | 50% | 10 Aug → | ||
| 13–1 | 0.01 | 11% | 9 Aug → | ||
| 9–13 | 0.04 | 18% | 9 Aug → | ||
| 16–13 | 0.04 | 22% | 9 Aug → | ||
| 13–5 | 0.01 | 30% | 4 Aug → | ||
| 13–9 | 0.02 | 24% | 3 Aug → | ||
| 6–13 | -0.07 | 30% | 31 Jul → | ||
| 13–9 | -0.02 | 18% | 31 Jul → | ||
| 8–13 | 0.01 | 26% | 31 Jul → | ||
| 13–6 | 0.03 | 30% | 29 Jul → | ||
| 13–10 | 0.00 | 20% | 29 Jul → | ||
| 13–7 | 0.06 | 28% | 29 Jul → | ||
| 3–13 | -0.06 | 19% | 28 Jul → | ||
| 13–7 | 0.10 | 21% | 28 Jul → | ||
| 10–13 | 0.03 | 31% | 28 Jul → | ||
| 12–16 | 0.01 | 27% | 26 Jul → | ||
| 13–3 | 0.08 | 6% | 26 Jul → | ||
| 11–13 | -0.04 | 22% | 26 Jul → | ||
| 13–3 | 0.04 | 19% | 26 Jul → | ||
| 2–13 | -0.08 | 50% | 25 Jul → | ||
| 13–11 | 0.03 | 44% | 25 Jul → | ||
| 8–13 | 0.03 | 31% | 25 Jul → | ||
| 3–13 | -0.13 | 9% | 25 Jul → | ||
| 2–13 | -0.08 | 21% | 25 Jul → | ||
| 13–0 | 0.00 | 0% | 25 Jul → | ||
| 6–13 | -0.10 | 24% | 25 Jul → | ||
| 13–3 | 0.04 | 46% | 25 Jul → | ||
| 13–6 | 0.02 | 21% | 25 Jul → | ||
| 10–13 | 0.03 | 24% | 25 Jul → | ||
| 5–0 | 0.02 | 100% | 25 Jul → | ||
| 8–13 | 0.01 | 35% | 25 Jul → | ||
| 13–2 | 0.05 | 33% | 25 Jul → | ||
| 13–11 | 0.04 | 32% | 25 Jul → | ||
| 13–5 | 0.00 | 41% | 25 Jul → | ||
| 4–13 | -0.02 | 27% | 25 Jul → | ||
| 13–11 | -0.01 | 28% | 25 Jul → | ||
| 13–6 | -0.03 | 38% | 25 Jul → | ||
| 4–13 | -0.04 | 43% | 25 Jul → | ||
| 13–4 | 0.04 | 21% | 25 Jul → | ||
| 6–13 | -0.02 | 29% | 24 Jul → | ||
| 5–13 | -0.09 | 17% | 24 Jul → | ||
| 13–2 | -0.00 | 31% | 24 Jul → | ||
| 13–9 | -0.03 | 15% | 24 Jul → | ||
| 16–13 | -0.04 | 22% | 23 Jul → | ||
| 8–13 | -0.02 | 22% | 23 Jul → | ||
| 5–13 | -0.00 | 23% | 23 Jul → | ||
| 5–13 | -0.05 | 24% | 21 Jul → | ||
| 7–13 | -0.03 | 26% | 20 Jul → | ||
| 13–7 | -0.03 | 27% | 20 Jul → | ||
| 13–5 | 0.11 | 31% | 20 Jul → | ||
| 13–5 | 0.04 | 35% | 20 Jul → | ||
| 13–11 | -0.00 | 37% | 20 Jul → | ||
| 11–13 | 0.06 | 15% | 20 Jul → | ||
| 11–13 | -0.04 | 26% | 20 Jul → | ||
| 13–10 | -0.03 | 12% | 20 Jul → | ||
| 11–13 | 0.03 | 23% | 20 Jul → | ||
| 11–13 | -0.08 | 35% | 20 Jul → | ||
| 10–13 | -0.04 | 29% | 19 Jul → | ||
| 11–13 | -0.03 | 21% | 19 Jul → | ||
| 6–13 | -0.01 | 15% | 19 Jul → | ||
| 16–12 | 0.02 | 30% | 19 Jul → | ||
| 13–3 | 0.08 | 23% | 19 Jul → | ||
| 13–7 | 0.02 | 24% | 19 Jul → | ||
| 13–2 | 0.26 | 17% | 18 Jul → | ||
| 6–13 | 0.11 | 44% | 18 Jul → | ||
| 10–13 | 0.07 | 38% | 18 Jul → | ||
| 13–4 | -0.00 | 23% | 18 Jul → | ||
| 6–13 | -0.12 | 13% | 18 Jul → | ||
| 5–11 | 0.04 | 15% | 18 Jul → | ||
| 8–13 | 0.01 | 20% | 17 Jul → | ||
| 15–15 | -0.08 | 31% | 17 Jul → | ||
| 10–13 | -0.01 | 18% | 16 Jul → | ||
| 13–8 | 0.03 | 23% | 16 Jul → | ||
| 13–9 | 0.03 | 15% | 16 Jul → | ||
| 13–9 | 0.03 | 27% | 16 Jul → | ||
| 16–13 | 0.02 | 17% | 16 Jul → | ||
| 13–3 | 0.06 | 15% | 16 Jul → | ||
| 14–16 | -0.02 | 16% | 15 Jul → | ||
| 13–3 | -0.01 | 32% | 15 Jul → | ||
| 13–8 | 0.08 | 27% | 10 Jul → | ||
| 13–11 | 0.01 | 34% | 10 Jul → | ||
| 2–13 | -0.02 | 64% | 6 Jun → | ||
| 13–4 | 0.01 | 17% | 6 Jun → | ||
| 4–13 | -0.05 | 19% | 6 Jun → | ||
| alpine | 11–13 | 0.13 | 26% | 16 May → | |
| 11–13 | 0.06 | 32% | 15 May → | ||
| 7–13 | -0.07 | 19% | 12 May → | ||
| 4–13 | -0.06 | 26% | 11 May → | ||
| 16–14 | -0.05 | 16% | 9 May → | ||
| 13–10 | -0.03 | 41% | 9 May → | ||
| 13–11 | -0.01 | 26% | 9 May → |
Match data via Leetify.