ScruffyV2 — CS2 Stats
76561199169767741[U:1:1209502013]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.04 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 85% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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. 609ms 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 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 |
|---|---|---|---|---|---|
| S | 18 | 12–6 | 67% | 0.01 | |
| A | 16 | 9–7 | 56% | 0.04 | |
| C | 14 | 5–9 | 36% | -0.01 | |
| B | 11 | 5–6 | 45% | 0.02 | |
| A | 11 | 6–5 | 55% | 0.01 | |
| A | 11 | 6–5 | 55% | -0.00 | |
| D | 9 | 3–6 | 33% | 0.01 | |
| — | 3 | 2–1 | 67% | 0.02 | |
| — | 3 | 1–2 | 33% | 0.00 | |
| — | 2 | 1–1 | 50% | 0.04 | |
| office | — | 1 | 0–1 | 0% | -0.03 |
| warden | — | 1 | 1–0 | 100% | 0.05 |
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 resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 15 | 53% | 1.15 | 17.3 |
| Dust2 | 8 | 12% | 0.75 | 11.6 |
| Nuke | 8 | 50% | 1.10 | 14.3 |
| Inferno | 7 | 71% | 2.12 | 15.7 |
| Vertigo | 4 | 75% | 0.99 | 16.3 |
| Ancient | 4 | 50% | 0.78 | 11.3 |
| Cache | 3 | 33% | 1.11 | 18.0 |
| Overpass | 3 | 33% | 0.80 | 13.7 |
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.
- 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 12.6858% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3912 — below the 0.5 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 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.04 | 10% | 26 Aug → | ||
| 13–7 | 0.07 | 10% | 26 Aug → | ||
| 9–7 | 0.17 | 19% | 26 Aug → | ||
| 13–5 | 0.05 | 20% | 25 Aug → | ||
| 13–10 | -0.01 | 5% | 25 Aug → | ||
| 16–12 | 0.03 | 12% | 25 Aug → | ||
| 14–16 | 0.06 | 12% | 23 Aug → | ||
| 8–13 | 0.06 | 8% | 23 Aug → | ||
| 13–8 | 0.10 | 16% | 22 Aug → | ||
| 15–15 | -0.05 | 6% | 21 Aug → | ||
| 13–7 | 0.07 | 14% | 20 Aug → | ||
| 13–3 | -0.00 | 8% | 19 Aug → | ||
| 4–13 | -0.02 | 12% | 18 Aug → | ||
| 7–13 | -0.03 | 11% | 15 Aug → | ||
| 13–8 | -0.02 | 23% | 15 Aug → | ||
| 13–3 | 0.13 | 41% | 8 Aug → | ||
| 13–3 | 0.00 | 11% | 7 Aug → | ||
| 4–13 | -0.06 | 12% | 7 Aug → | ||
| 16–13 | -0.01 | 8% | 7 Aug → | ||
| 9–13 | 0.01 | 9% | 7 Aug → | ||
| 13–9 | -0.01 | 16% | 7 Aug → | ||
| 6–13 | -0.08 | 15% | 7 Aug → | ||
| 13–8 | 0.06 | 11% | 31 Jul → | ||
| 13–5 | -0.02 | 7% | 18 Jul → | ||
| 13–8 | 0.02 | 23% | 18 Jul → | ||
| 13–4 | 0.06 | 12% | 17 Jul → | ||
| 13–9 | -0.04 | 10% | 17 Jul → | ||
| 13–0 | -0.04 | 19% | 17 Jul → | ||
| 7–13 | -0.03 | 10% | 9 Jul → | ||
| 2–13 | -0.03 | 13% | 9 Jul → | ||
| 13–10 | -0.01 | 10% | 8 Jul → | ||
| office | 3–13 | -0.03 | 35% | 8 Jul → | |
| 13–8 | 0.06 | 11% | 1 Jul → | ||
| 13–3 | 0.02 | 12% | 1 Jul → | ||
| 13–11 | 0.01 | 20% | 1 Jul → | ||
| 9–13 | -0.01 | 11% | 27 Jun → | ||
| 13–9 | 0.06 | 9% | 27 Jun → | ||
| 11–13 | -0.01 | 8% | 27 Jun → | ||
| 5–13 | -0.07 | 12% | 27 Jun → | ||
| 13–11 | -0.05 | 7% | 26 Jun → | ||
| 13–6 | -0.05 | 7% | 26 Jun → | ||
| 13–7 | 0.06 | 14% | 26 Jun → | ||
| 11–13 | 0.01 | 7% | 21 Jun → | ||
| 13–10 | -0.03 | 6% | 21 Jun → | ||
| 3–13 | -0.10 | 11% | 21 Jun → | ||
| 13–8 | 0.07 | 15% | 30 May → | ||
| 7–13 | 0.08 | 14% | 30 May → | ||
| 10–13 | 0.03 | 16% | 29 May → | ||
| 13–10 | -0.01 | 11% | 29 May → | ||
| 6–13 | -0.08 | 5% | 29 May → | ||
| 13–7 | -0.01 | 6% | 29 May → | ||
| 4–13 | 0.01 | 4% | 29 May → | ||
| 9–13 | 0.02 | 17% | 29 May → | ||
| 5–13 | 0.05 | 10% | 29 May → | ||
| 13–11 | -0.03 | 8% | 28 May → | ||
| 13–5 | 0.01 | 7% | 28 May → | ||
| 13–9 | 0.04 | 11% | 28 May → | ||
| 11–13 | -0.02 | 14% | 28 May → | ||
| 9–13 | 0.05 | 11% | 9 May → | ||
| warden | 13–5 | 0.05 | 14% | 9 May → | |
| 13–8 | 0.06 | 9% | 9 May → | ||
| 8–2 | 0.10 | 12% | 9 May → | ||
| 6–13 | -0.06 | 17% | 9 May → | ||
| 13–8 | 0.08 | 12% | 9 May → | ||
| 13–7 | -0.01 | 9% | 3 May → | ||
| 9–13 | -0.00 | 13% | 3 May → | ||
| 3–13 | -0.04 | 7% | 3 May → | ||
| 12–12 | 0.01 | 14% | 29 Apr → | ||
| 7–13 | -0.02 | 25% | 29 Apr → | ||
| 9–13 | 0.05 | 13% | 28 Apr → | ||
| 13–8 | 0.06 | 5% | 25 Apr → | ||
| 13–1 | 0.06 | 7% | 25 Apr → | ||
| 9–13 | 0.03 | 10% | 25 Apr → | ||
| 9–13 | -0.03 | 15% | 28 Feb → | ||
| 11–13 | 0.05 | 11% | 28 Feb → | ||
| 10–13 | 0.01 | 10% | 28 Feb → | ||
| 13–10 | 0.03 | 10% | 28 Feb → | ||
| 7–13 | 0.05 | 2% | 20 Feb → | ||
| 13–11 | -0.03 | 10% | 20 Feb → | ||
| 13–10 | -0.01 | 10% | 18 Feb → | ||
| 8–13 | 0.05 | 6% | 15 Feb → | ||
| 10–13 | 0.09 | 10% | 14 Feb → | ||
| 13–10 | 0.03 | 7% | 14 Feb → | ||
| 5–13 | -0.03 | 16% | 14 Feb → | ||
| 5–13 | -0.03 | 12% | 12 Feb → | ||
| 14–16 | -0.02 | 7% | 7 Feb → | ||
| 9–13 | -0.02 | 20% | 7 Feb → | ||
| 5–13 | -0.08 | 10% | 6 Feb → | ||
| 13–10 | 0.00 | 4% | 5 Feb → | ||
| 13–7 | -0.03 | 19% | 5 Feb → | ||
| 14–16 | -0.02 | 16% | 4 Feb → | ||
| 13–10 | 0.02 | 12% | 3 Feb → | ||
| 13–9 | 0.05 | 21% | 3 Feb → | ||
| 11–13 | 0.03 | 6% | 3 Feb → | ||
| 13–6 | 0.14 | 16% | 3 Feb → | ||
| 8–13 | -0.02 | 19% | 3 Feb → | ||
| 5–13 | 0.09 | 12% | 3 Feb → | ||
| 7–13 | -0.04 | 18% | 3 Feb → | ||
| 11–13 | 0.01 | 10% | 2 Feb → | ||
| 7–13 | 0.03 | 10% | 1 Feb → |
Match data via Leetify.
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