Squap — CS2 Stats
76561198066529260[U:1:106263532]
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 |
|---|---|---|
| Headshot rate | 54.5% | 48.1% |
| Shot accuracy | 15.1% | 12.9% |
| Kill/death ratio | 1.09 | 1.08 |
| Match win rate | 46.0% | 46.5% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp 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 75% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: lower opening-fight frequency; 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 46% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 621ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 68% 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 4.7/10 (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 |
|---|---|---|---|---|---|
| B | 19 | 9–10 | 47% | -0.03 | |
| C | 18 | 8–10 | 44% | -0.02 | |
| A | 16 | 10–6 | 63% | -0.02 | |
| B | 15 | 7–8 | 47% | -0.02 | |
| B | 14 | 7–7 | 50% | -0.00 | |
| D | 9 | 1–8 | 11% | -0.02 | |
| B | 8 | 4–4 | 50% | 0.00 | |
| — | 1 | 1–0 | 100% | 0.06 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (11% over 9). 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 resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 2 | 50% | 1.18 | 21.0 |
| Dust2 | 2 | 100% | 1.22 | 20.0 |
| Inferno | 2 | 0% | 0.92 | 16.0 |
| Ancient | 1 | 0% | 0.95 | 19.0 |
| Cache | 1 | 100% | 1.33 | 20.0 |
| Anubis | 1 | 100% | 0.72 | 13.0 |
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.
- 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 12.6938° — above the 12° mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.03 | 17% | 9 Aug → | ||
| 13–10 | -0.01 | 13% | 9 Aug → | ||
| 13–8 | -0.06 | 20% | 9 Aug → | ||
| 13–11 | 0.06 | 33% | 3 Aug → | ||
| 0–13 | -0.10 | 22% | 3 Aug → | ||
| 5–13 | -0.06 | 33% | 3 Aug → | ||
| 8–13 | 0.02 | 28% | 3 Aug → | ||
| 13–8 | -0.02 | 16% | 3 Aug → | ||
| 2–13 | -0.00 | 23% | 3 Aug → | ||
| 8–13 | 0.03 | 22% | 3 Aug → | ||
| 13–10 | -0.01 | 38% | 3 Aug → | ||
| 9–13 | -0.04 | 26% | 3 Aug → | ||
| 13–6 | -0.02 | 29% | 3 Aug → | ||
| 13–8 | -0.06 | 15% | 3 Aug → | ||
| 11–13 | 0.03 | 23% | 3 Aug → | ||
| 2–13 | -0.07 | 20% | 2 Aug → | ||
| 13–4 | -0.01 | 13% | 2 Aug → | ||
| 13–3 | 0.04 | 15% | 2 Aug → | ||
| 13–9 | -0.02 | 28% | 2 Aug → | ||
| 11–13 | -0.01 | 28% | 2 Aug → | ||
| 13–6 | 0.04 | 33% | 2 Aug → | ||
| 15–15 | -0.04 | 19% | 2 Aug → | ||
| 13–11 | 0.01 | 10% | 1 Aug → | ||
| 4–13 | -0.06 | 20% | 1 Aug → | ||
| 16–13 | -0.03 | 10% | 1 Aug → | ||
| 7–13 | -0.03 | 21% | 1 Aug → | ||
| 13–3 | 0.03 | 31% | 1 Aug → | ||
| 7–13 | -0.06 | 18% | 1 Aug → | ||
| 10–13 | 0.02 | 10% | 1 Aug → | ||
| 9–13 | -0.03 | 29% | 1 Aug → | ||
| 2–13 | -0.04 | 29% | 31 Jul → | ||
| 13–7 | 0.03 | 16% | 31 Jul → | ||
| 11–13 | -0.04 | 21% | 31 Jul → | ||
| 13–3 | -0.06 | 17% | 30 Jul → | ||
| 13–5 | 0.02 | 18% | 30 Jul → | ||
| 10–13 | -0.01 | 30% | 30 Jul → | ||
| 13–8 | -0.10 | 8% | 30 Jul → | ||
| 8–13 | -0.03 | 23% | 30 Jul → | ||
| 5–13 | 0.00 | 32% | 29 Jul → | ||
| 9–13 | -0.01 | 24% | 29 Jul → | ||
| 13–10 | 0.02 | 12% | 29 Jul → | ||
| 7–13 | -0.07 | 25% | 29 Jul → | ||
| 13–3 | 0.03 | 24% | 29 Jul → | ||
| 13–4 | 0.07 | 28% | 29 Jul → | ||
| 13–6 | 0.02 | 24% | 29 Jul → | ||
| 10–13 | -0.07 | 19% | 29 Jul → | ||
| 15–15 | -0.05 | 24% | 29 Jul → | ||
| 11–13 | 0.00 | 36% | 29 Jul → | ||
| 8–13 | -0.07 | 24% | 29 Jul → | ||
| 3–13 | -0.07 | 46% | 29 Jul → | ||
| 13–11 | 0.02 | 25% | 23 Jul → | ||
| 11–13 | -0.04 | 18% | 23 Jul → | ||
| 8–13 | -0.01 | 21% | 23 Jul → | ||
| 13–16 | 0.01 | 31% | 23 Jul → | ||
| 13–3 | 0.03 | 31% | 23 Jul → | ||
| 9–13 | 0.03 | 33% | 23 Jul → | ||
| 13–4 | 0.04 | 22% | 23 Jul → | ||
| 7–13 | -0.01 | 27% | 23 Jul → | ||
| 13–6 | -0.03 | 22% | 23 Jul → | ||
| 13–4 | -0.00 | 24% | 23 Jul → | ||
| 13–8 | 0.00 | 15% | 23 Jul → | ||
| 13–6 | 0.00 | 23% | 23 Jul → | ||
| 6–13 | -0.00 | 29% | 22 Jul → | ||
| 11–13 | 0.04 | 22% | 22 Jul → | ||
| 11–13 | -0.04 | 30% | 22 Jul → | ||
| 11–13 | 0.00 | 16% | 22 Jul → | ||
| 12–16 | -0.00 | 13% | 22 Jul → | ||
| 6–13 | -0.08 | 36% | 22 Jul → | ||
| 9–13 | 0.05 | 22% | 21 Jul → | ||
| 13–16 | -0.01 | 17% | 21 Jul → | ||
| 7–13 | 0.02 | 18% | 21 Jul → | ||
| 13–16 | -0.09 | 11% | 21 Jul → | ||
| 12–16 | -0.09 | 12% | 21 Jul → | ||
| 13–6 | 0.01 | 26% | 21 Jul → | ||
| 8–13 | 0.03 | 23% | 20 Jul → | ||
| 13–6 | -0.02 | 15% | 20 Jul → | ||
| 13–9 | -0.03 | 23% | 20 Jul → | ||
| 13–11 | -0.01 | 16% | 20 Jul → | ||
| 13–10 | -0.02 | 15% | 19 Jul → | ||
| 13–7 | -0.04 | 16% | 18 Jul → | ||
| 13–8 | -0.03 | 22% | 18 Jul → | ||
| 13–8 | -0.05 | 12% | 18 Jul → | ||
| 6–13 | -0.09 | 15% | 18 Jul → | ||
| 9–13 | -0.01 | 23% | 14 Jul → | ||
| 13–9 | 0.01 | 22% | 13 Jul → | ||
| 11–13 | -0.06 | 16% | 13 Jul → | ||
| 13–9 | -0.01 | 17% | 12 Jul → | ||
| 3–13 | -0.02 | 19% | 11 Jul → | ||
| 13–5 | -0.08 | 22% | 11 Jul → | ||
| 13–10 | 0.02 | 14% | 10 Jul → | ||
| 13–11 | -0.00 | 20% | 9 Jul → | ||
| 7–13 | 0.03 | 26% | 9 Jul → | ||
| 10–13 | 0.01 | 18% | 9 Jul → | ||
| 13–3 | -0.02 | 23% | 9 Jul → | ||
| 10–13 | -0.07 | 5% | 6 Jul → | ||
| 10–13 | -0.04 | 12% | 6 Jul → | ||
| 11–13 | -0.04 | 20% | 5 Jul → | ||
| 13–7 | 0.03 | 22% | 5 Jul → | ||
| 13–10 | -0.01 | 15% | 5 Jul → | ||
| 13–5 | 0.06 | 17% | 5 Jul → |
Match data via Leetify.