BIGSNEAKYWORM — CS2 Stats
GB76561198079598516[U:1:119332788]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +50pp win rate · +0.04 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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 s1mple 94% playstyle similarity
Most alike: opening-fight frequency, 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
Strengths
Aim. Aim score of 89 — the mechanical foundation is a clear strength.
T openings. 62% T opening-duel success — entries that actually open the round.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 7.5/10 (Strong), 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 | 58 | 29–29 | 50% | 0.04 | |
| B | 22 | 11–11 | 50% | 0.02 | |
| A | 9 | 5–4 | 56% | 0.05 | |
| — | 4 | 1–3 | 25% | 0.04 | |
| — | 2 | 2–0 | 100% | 0.05 | |
| — | 2 | 2–0 | 100% | 0.11 | |
| — | 1 | 0–1 | 0% | 0.00 | |
| — | 1 | 0–1 | 0% | -0.12 | |
| — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 78 | 59% | 1.67 | 18.9 |
| Ancient | 26 | 42% | 1.65 | 19.8 |
| Vertigo | 25 | 64% | 2.51 | 23.8 |
| Overpass | 23 | 70% | 1.97 | 22.0 |
| Anubis | 22 | 55% | 1.58 | 19.4 |
| Inferno | 16 | 69% | 1.71 | 19.9 |
| Nuke | 12 | 50% | 1.91 | 21.8 |
| Train | 9 | 22% | 1.77 | 19.7 |
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 12.8495% — 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 0.4694 — below the 0.5 mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | 0.03 | 16% | 19 May → | ||
| 13–6 | 0.02 | 18% | 18 May → | ||
| 13–5 | 0.11 | 16% | 17 May → | ||
| 13–1 | 0.02 | 10% | 17 May → | ||
| 13–6 | 0.12 | 11% | 17 May → | ||
| 6–13 | 0.03 | 7% | 17 May → | ||
| 7–13 | 0.06 | 15% | 17 May → | ||
| 13–8 | 0.07 | 7% | 17 May → | ||
| 12–12 | 0.02 | 14% | 16 May → | ||
| 13–10 | 0.14 | 10% | 16 May → | ||
| 12–12 | 0.05 | 13% | 16 May → | ||
| 5–13 | 0.01 | 18% | 16 May → | ||
| 10–13 | 0.02 | 18% | 16 May → | ||
| 9–13 | -0.04 | 16% | 16 May → | ||
| 9–13 | 0.03 | 7% | 16 May → | ||
| 4–13 | -0.06 | 13% | 15 May → | ||
| 7–13 | 0.02 | 13% | 15 May → | ||
| 13–4 | 0.06 | 11% | 15 May → | ||
| 12–12 | 0.03 | 12% | 15 May → | ||
| 13–11 | 0.06 | 10% | 15 May → | ||
| 13–8 | 0.06 | 6% | 15 May → | ||
| 13–2 | 0.03 | 18% | 15 May → | ||
| 13–7 | 0.05 | 22% | 14 May → | ||
| 13–3 | 0.11 | 13% | 14 May → | ||
| 6–13 | -0.05 | 17% | 11 May → | ||
| 7–13 | 0.03 | 13% | 11 May → | ||
| 13–7 | 0.06 | 2% | 11 May → | ||
| 7–13 | -0.03 | 33% | 11 May → | ||
| 13–2 | 0.06 | 13% | 10 May → | ||
| 13–6 | -0.00 | 17% | 10 May → | ||
| 13–9 | 0.01 | 12% | 10 May → | ||
| 6–13 | 0.06 | 15% | 10 May → | ||
| 13–9 | 0.02 | 11% | 9 May → | ||
| 13–6 | 0.07 | 15% | 9 May → | ||
| 11–13 | 0.05 | 10% | 9 May → | ||
| 13–9 | 0.12 | 14% | 9 May → | ||
| 10–13 | 0.05 | 20% | 8 May → | ||
| 10–13 | 0.00 | 13% | 8 May → | ||
| 5–13 | -0.05 | 15% | 8 May → | ||
| 13–5 | 0.06 | 15% | 8 May → | ||
| 13–7 | 0.04 | 11% | 8 May → | ||
| 13–5 | 0.06 | 16% | 8 May → | ||
| 13–6 | 0.07 | 34% | 2 May → | ||
| 12–12 | 0.09 | 12% | 2 May → | ||
| 13–7 | 0.05 | 17% | 1 May → | ||
| 6–13 | 0.03 | 10% | 1 May → | ||
| 10–13 | 0.06 | 16% | 1 May → | ||
| 13–9 | 0.06 | 8% | 1 May → | ||
| 0–9 | -0.03 | 22% | 1 May → | ||
| 11–13 | -0.01 | 10% | 1 May → | ||
| 10–13 | 0.03 | 14% | 1 May → | ||
| 13–10 | 0.05 | 17% | 30 Apr → | ||
| 13–1 | 0.07 | 26% | 30 Apr → | ||
| 11–13 | -0.01 | 18% | 30 Apr → | ||
| 10–13 | 0.08 | 13% | 30 Apr → | ||
| 12–12 | -0.01 | 10% | 29 Apr → | ||
| 2–13 | 0.04 | 12% | 29 Apr → | ||
| 13–0 | 0.11 | 8% | 29 Apr → | ||
| 7–13 | 0.14 | 17% | 25 Mar → | ||
| 5–6 | -0.00 | 22% | 25 Mar → | ||
| 12–12 | 0.08 | 19% | 21 Mar → | ||
| 11–13 | 0.04 | 15% | 16 Mar → | ||
| 7–13 | 0.01 | 17% | 16 Mar → | ||
| 13–11 | 0.03 | 16% | 15 Mar → | ||
| 13–7 | 0.07 | 13% | 15 Mar → | ||
| 13–4 | 0.17 | 14% | 14 Mar → | ||
| 13–4 | 0.07 | 10% | 14 Mar → | ||
| 13–10 | -0.07 | 10% | 14 Mar → | ||
| 0–5 | -0.05 | 21% | 14 Mar → | ||
| 13–6 | 0.01 | 14% | 13 Mar → | ||
| 8–13 | -0.03 | 6% | 13 Mar → | ||
| 13–4 | 0.08 | 17% | 12 Mar → | ||
| 13–1 | 0.12 | 18% | 12 Mar → | ||
| 13–9 | 0.10 | 8% | 12 Mar → | ||
| 13–8 | 0.18 | 21% | 11 Mar → | ||
| 12–12 | -0.02 | 12% | 10 Mar → | ||
| 3–13 | -0.04 | 11% | 10 Mar → | ||
| 3–13 | 0.05 | 5% | 6 Mar → | ||
| 13–1 | 0.16 | 0% | 3 Mar → | ||
| 12–12 | 0.04 | 14% | 2 Mar → | ||
| 13–9 | 0.04 | 8% | 1 Mar → | ||
| 9–13 | -0.03 | 13% | 1 Mar → | ||
| 13–9 | 0.05 | 23% | 24 Feb → | ||
| 10–13 | -0.03 | 4% | 30 Dec → | ||
| 8–13 | -0.02 | 11% | 21 Dec → | ||
| 13–7 | 0.06 | 13% | 18 Dec → | ||
| 6–13 | 0.00 | 6% | 18 Dec → | ||
| 4–11 | -0.12 | 18% | 18 Dec → | ||
| 13–10 | 0.03 | 13% | 6 Sept → | ||
| 13–6 | 0.03 | 5% | 31 Aug → | ||
| 13–4 | 0.03 | 16% | 30 Aug → | ||
| 13–6 | 0.02 | 12% | 30 Aug → | ||
| 13–9 | 0.06 | 15% | 6 Aug → | ||
| 7–13 | -0.03 | 13% | 27 Jul → | ||
| 13–6 | 0.03 | 10% | 26 Jul → | ||
| 3–13 | 0.05 | 17% | 26 Jul → | ||
| 13–6 | 0.03 | 16% | 20 Jul → | ||
| 10–13 | 0.03 | 19% | 20 Jul → | ||
| 9–13 | -0.01 | 19% | 20 Jul → | ||
| 0–13 | -0.00 | 17% | 13 Jul → |
Match data via Leetify.