Mini — CS2 Stats
GB76561199572557033[U:1:1612291305]Steam profile ↗
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=3,917), 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 | Pink band median | Red band median | vs Red band |
|---|---|---|---|---|
| Headshot rate | 38.9% | 47.2% | 49.9% | 11.1% short |
| Shot accuracy | 0.0% | 12.7% | 13.4% | 13.4% short |
| Kill/death ratio | 0.96 | 1.09 | 1.12 | 0.16 short |
| Match win rate | 48.6% | 46.6% | 48.4% | meets |
This profile matches the typical Red band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.06 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 Twistzz 86% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Reaction time. 570ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 65% 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 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 18 | 11–7 | 61% | -0.00 | |
| A | 17 | 10–7 | 59% | -0.03 | |
| A | 16 | 9–7 | 56% | -0.01 | |
| B | 16 | 8–8 | 50% | 0.01 | |
| B | 16 | 8–8 | 50% | -0.04 | |
| D | 10 | 3–7 | 30% | 0.00 | |
| A | 7 | 4–3 | 57% | 0.01 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Nuke 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 resultsWLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 144 | 49% | 1.00 | 15.2 |
| Inferno | 133 | 59% | 1.11 | 15.4 |
| Ancient | 78 | 45% | 0.98 | 15.1 |
| Dust2 | 60 | 50% | 1.00 | 14.7 |
| Vertigo | 51 | 49% | 0.95 | 15.4 |
| Anubis | 50 | 44% | 0.99 | 15.9 |
| Nuke | 35 | 51% | 0.95 | 13.4 |
| Overpass | 3 | 0% | 0.68 | 12.3 |
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 34.4974% — 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.
30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 0–3 | -0.10 | 0% | 29 Aug → | ||
| 2–13 | -0.08 | 12% | 29 Aug → | ||
| 3–13 | -0.00 | 17% | 21 Aug → | ||
| 13–10 | -0.00 | 14% | 14 Aug → | ||
| 11–13 | 0.03 | 10% | 13 Aug → | ||
| 0–13 | -0.17 | 17% | 12 Aug → | ||
| 7–13 | -0.06 | 13% | 6 Aug → | ||
| 13–10 | -0.03 | 9% | 6 Aug → | ||
| 5–13 | -0.03 | 11% | 6 Aug → | ||
| 11–13 | -0.06 | 12% | 5 Aug → | ||
| 13–4 | -0.00 | 15% | 3 Aug → | ||
| 16–14 | -0.02 | 14% | 3 Aug → | ||
| 13–4 | 0.05 | 7% | 2 Aug → | ||
| 6–13 | -0.03 | 28% | 2 Aug → | ||
| 2–13 | -0.02 | 27% | 31 Jul → | ||
| 10–13 | -0.01 | 16% | 28 Jul → | ||
| 15–15 | -0.04 | 21% | 28 Jul → | ||
| 9–13 | 0.01 | 21% | 28 Jul → | ||
| 4–0 | 0.05 | 33% | 28 Jul → | ||
| 13–10 | 0.07 | 22% | 27 Jul → | ||
| 13–10 | -0.01 | 8% | 26 Jul → | ||
| 5–13 | 0.01 | 15% | 25 Jul → | ||
| 13–10 | -0.02 | 33% | 25 Jul → | ||
| 13–6 | -0.00 | 24% | 25 Jul → | ||
| 13–2 | 0.02 | 0% | 23 Jul → | ||
| 8–13 | -0.05 | 16% | 23 Jul → | ||
| 8–13 | -0.02 | 34% | 22 Jul → | ||
| 9–13 | -0.04 | 7% | 22 Jul → | ||
| 13–3 | 0.10 | 22% | 19 Jul → | ||
| 13–9 | 0.03 | 21% | 19 Jul → | ||
| 11–13 | 0.06 | 22% | 19 Jul → | ||
| 6–13 | -0.04 | 8% | 17 Jul → | ||
| 13–10 | -0.04 | 8% | 17 Jul → | ||
| 3–13 | -0.05 | 3% | 15 Jul → | ||
| 7–13 | -0.09 | 50% | 14 Jul → | ||
| 8–13 | -0.02 | 12% | 13 Jul → | ||
| 13–11 | 0.01 | 15% | 12 Jul → | ||
| 0–13 | -0.00 | 0% | 12 Jul → | ||
| 13–0 | -0.00 | 23% | 12 Jul → | ||
| 0–13 | -0.05 | 100% | 12 Jul → | ||
| 4–13 | -0.08 | 0% | 12 Jul → | ||
| 13–1 | -0.03 | 0% | 12 Jul → | ||
| 4–13 | -0.11 | 17% | 12 Jul → | ||
| 0–13 | -0.06 | 0% | 12 Jul → | ||
| 13–7 | 0.06 | 21% | 12 Jul → | ||
| 13–9 | -0.07 | 21% | 12 Jul → | ||
| 1–13 | -0.09 | 17% | 12 Jul → | ||
| 13–0 | -0.03 | 50% | 12 Jul → | ||
| 13–5 | 0.12 | 12% | 12 Jul → | ||
| 10–13 | 0.11 | 11% | 12 Jul → | ||
| 1–13 | -0.02 | 9% | 12 Jul → | ||
| 0–13 | -0.11 | 20% | 12 Jul → | ||
| 11–13 | 0.10 | 9% | 12 Jul → | ||
| 13–7 | 0.00 | 10% | 12 Jul → | ||
| 0–13 | -0.03 | 100% | 12 Jul → | ||
| 16–13 | -0.04 | 20% | 11 Jul → | ||
| 13–5 | 0.06 | 11% | 11 Jul → | ||
| 13–9 | -0.01 | 6% | 11 Jul → | ||
| 13–1 | 0.02 | 15% | 11 Jul → | ||
| 13–4 | -0.02 | 21% | 11 Jul → | ||
| 5–13 | -0.13 | 23% | 11 Jul → | ||
| 5–13 | -0.10 | 0% | 11 Jul → | ||
| 13–2 | -0.02 | 45% | 11 Jul → | ||
| 4–13 | -0.13 | 33% | 11 Jul → | ||
| 5–13 | -0.02 | 8% | 11 Jul → | ||
| 13–7 | -0.02 | 5% | 10 Jul → | ||
| 13–5 | 0.10 | 15% | 10 Jul → | ||
| 11–13 | 0.02 | 17% | 10 Jul → | ||
| 13–10 | 0.05 | 18% | 10 Jul → | ||
| 7–13 | 0.02 | 10% | 10 Jul → | ||
| 7–13 | -0.09 | 36% | 10 Jul → | ||
| 13–4 | -0.10 | 13% | 10 Jul → | ||
| 13–0 | -0.09 | 25% | 10 Jul → | ||
| 1–13 | -0.08 | 0% | 10 Jul → | ||
| 13–9 | 0.05 | 19% | 10 Jul → | ||
| 13–5 | 0.10 | 10% | 10 Jul → | ||
| 13–0 | 0.00 | 0% | 10 Jul → | ||
| 13–1 | -0.04 | 0% | 10 Jul → | ||
| 13–0 | 0.00 | 0% | 10 Jul → | ||
| 13–0 | 0.00 | 0% | 10 Jul → | ||
| 2–13 | -0.02 | 15% | 10 Jul → | ||
| 3–13 | -0.10 | 38% | 10 Jul → | ||
| 13–7 | -0.11 | 11% | 10 Jul → | ||
| 13–2 | -0.05 | 13% | 10 Jul → | ||
| 14–16 | -0.06 | 14% | 10 Jul → | ||
| 13–8 | 0.02 | 17% | 9 Jul → | ||
| 2–13 | -0.01 | 14% | 9 Jul → | ||
| 16–14 | 0.06 | 20% | 9 Jul → | ||
| 13–8 | 0.06 | 10% | 9 Jul → | ||
| 13–6 | 0.08 | 20% | 9 Jul → | ||
| 13–9 | 0.01 | 12% | 9 Jul → | ||
| 10–13 | 0.01 | 8% | 9 Jul → | ||
| 13–7 | 0.01 | 5% | 9 Jul → | ||
| 13–2 | -0.02 | 16% | 9 Jul → | ||
| 13–11 | -0.04 | 21% | 9 Jul → | ||
| 13–6 | 0.01 | 15% | 9 Jul → | ||
| 10–13 | 0.01 | 14% | 8 Jul → | ||
| 13–6 | 0.09 | 14% | 8 Jul → | ||
| 13–8 | 0.06 | 17% | 8 Jul → | ||
| 13–8 | -0.05 | 9% | 7 Jul → |
Match data via Leetify.