big crunk — CS2 Stats
76561198008333966[U:1:48068238]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited utility dependence
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 81% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower aim profile; lower utility contribution.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 575ms 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 5.3/10 (Developing), 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 |
|---|---|---|---|---|---|
 dust2 | B | 26 | 14–12 | 54% | 0.00 |
 mirage | C | 24 | 10–14 | 42% | 0.01 |
 nuke | D | 17 | 5–12 | 29% | 0.02 |
 inferno | D | 9 | 0–9 | 0% | -0.02 |
 cache | S | 5 | 4–1 | 80% | 0.02 |
 ancient | — | 4 | 2–2 | 50% | 0.02 |
 train | — | 3 | 2–1 | 67% | 0.01 |
 overpass | — | 3 | 0–3 | 0% | 0.08 |
| office | — | 2 | 0–2 | 0% | -0.06 |
 anubis | — | 2 | 2–0 | 100% | 0.04 |
 vertigo | — | 2 | 0–2 | 0% | 0.04 |
| shelter | — | 1 | 1–0 | 100% | 0.03 |
| debris | — | 1 | 0–1 | 0% | -0.14 |
| italy | — | 1 | 1–0 | 100% | 0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (0% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 2 | 100% | 1.04 | 15.5 |
| Vertigo | 1 | 100% | 3.00 | 24.0 |
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.
- 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 0.0741 — below the 0.5 mark we flag
- 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 31.4263% — 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.
0% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| train | 13–9 | -0.01 | 19% | 28 Aug → | |
| inferno | 8–13 | -0.05 | 26% | 28 Aug → | |
| office | 4–13 | -0.10 | 22% | 28 Aug → | |
| nuke | 2–5 | -0.01 | 13% | 28 Aug → | |
| cache | 13–9 | 0.06 | 15% | 28 Aug → | |
| cache | 13–5 | 0.01 | 15% | 28 Aug → | |
| dust2 | 13–6 | 0.04 | 7% | 28 Aug → | |
| nuke | 13–1 | 0.10 | 16% | 28 Aug → | |
| mirage | 13–9 | 0.04 | 19% | 28 Aug → | |
| inferno | 9–13 | -0.00 | 19% | 21 Aug → | |
| nuke | 13–9 | -0.10 | 23% | 21 Aug → | |
| mirage | 12–12 | -0.01 | 19% | 21 Aug → | |
| cache | 6–13 | -0.07 | 11% | 21 Aug → | |
| dust2 | 1–5 | -0.03 | 25% | 21 Aug → | |
| cache | 13–6 | 0.08 | 15% | 7 Aug → | |
| train | 0–7 | -0.04 | 50% | 7 Aug → | |
| nuke | 13–10 | 0.04 | 24% | 7 Aug → | |
| dust2 | 13–9 | -0.05 | 18% | 7 Aug → | |
| ancient | 11–13 | -0.02 | 19% | 7 Aug → | |
| inferno | 2–13 | -0.05 | 6% | 25 Jul → | |
| dust2 | 3–0 | -0.00 | 100% | 25 Jul → | |
| dust2 | 5–13 | 0.07 | 22% | 25 Jul → | |
| anubis | 13–2 | 0.07 | 13% | 25 Jul → | |
| dust2 | 13–7 | 0.06 | 23% | 25 Jul → | |
| mirage | 13–0 | 0.06 | 34% | 25 Jul → | |
| shelter | 13–7 | 0.03 | 6% | 13 Jul → | |
| inferno | 8–8 | 0.03 | 18% | 13 Jul → | |
| debris | 7–9 | -0.14 | 19% | 13 Jul → | |
| inferno | 2–9 | -0.10 | 17% | 13 Jul → | |
| cache | 13–5 | 0.04 | 9% | 4 May → | |
| mirage | 10–13 | 0.07 | 23% | 16 Mar → | |
| mirage | 7–13 | -0.01 | 17% | 16 Mar → | |
| nuke | 13–5 | 0.05 | 7% | 6 Feb → | |
| dust2 | 13–7 | -0.03 | 8% | 6 Feb → | |
| overpass | 10–13 | 0.04 | 11% | 6 Feb → | |
| mirage | 13–3 | 0.07 | 19% | 25 Jan → | |
| nuke | 6–13 | -0.08 | 15% | 2 Jan → | |
| mirage | 13–3 | 0.13 | 27% | 2 Jan → | |
| mirage | 12–13 | 0.01 | 10% | 20 Dec → | |
| ancient | 13–8 | 0.05 | 8% | 20 Dec → | |
| nuke | 15–15 | 0.01 | 10% | 5 Nov → | |
| inferno | 8–13 | 0.00 | 14% | 5 Nov → | |
| mirage | 13–6 | 0.01 | 11% | 4 Nov → | |
| inferno | 1–13 | -0.04 | 18% | 4 Oct → | |
| inferno | 7–13 | 0.05 | 15% | 1 Aug → | |
| nuke | 13–1 | 0.03 | 11% | 1 Aug → | |
| overpass | 12–14 | 0.12 | 11% | 20 Jul → | |
| nuke | 5–9 | 0.06 | 11% | 18 Jul → | |
| mirage | 8–13 | -0.03 | 7% | 18 Jul → | |
| overpass | 3–13 | 0.09 | 16% | 18 Jul → | |
| mirage | 10–13 | -0.06 | 19% | 21 Jun → | |
| nuke | 10–13 | 0.03 | 13% | 14 Jun → | |
| inferno | 2–6 | -0.04 | 11% | 14 Jun → | |
| dust2 | 12–12 | -0.01 | 18% | 14 Jun → | |
| dust2 | 13–9 | -0.04 | 7% | 14 Jun → | |
| dust2 | 8–13 | 0.03 | 10% | 24 Mar → | |
| dust2 | 6–13 | 0.06 | 12% | 21 Mar → | |
| nuke | 9–13 | 0.02 | 11% | 20 Mar → | |
| dust2 | 13–7 | -0.03 | 7% | 20 Mar → | |
| dust2 | 13–2 | 0.04 | 11% | 10 Mar → | |
| train | 13–5 | 0.07 | 26% | 10 Mar → | |
| mirage | 1–13 | 0.01 | 5% | 10 Mar → | |
| nuke | 6–13 | -0.05 | 4% | 7 Mar → | |
| mirage | 10–13 | -0.00 | 17% | 28 Feb → | |
| dust2 | 12–12 | -0.02 | 12% | 28 Feb → | |
| vertigo | 11–13 | -0.05 | 7% | 28 Feb → | |
| nuke | 12–12 | 0.05 | 8% | 28 Feb → | |
| mirage | 13–9 | 0.08 | 10% | 21 Feb → | |
| mirage | 9–13 | -0.01 | 3% | 12 Feb → | |
| dust2 | 13–9 | -0.05 | 13% | 9 Feb → | |
| dust2 | 13–5 | 0.11 | 16% | 6 Feb → | |
| dust2 | 13–5 | -0.04 | 20% | 6 Feb → | |
| mirage | 5–13 | -0.04 | 6% | 31 Jan → | |
| anubis | 13–8 | 0.01 | 7% | 31 Jan → | |
| dust2 | 2–13 | -0.08 | 11% | 30 Jan → | |
| nuke | 11–13 | 0.02 | 10% | 30 Jan → | |
| mirage | 13–10 | 0.01 | 9% | 30 Jan → | |
| mirage | 9–13 | -0.02 | 6% | 30 Jan → | |
| mirage | 7–13 | -0.02 | 14% | 25 Jan → | |
| dust2 | 13–16 | 0.04 | 10% | 25 Jan → | |
| dust2 | 13–2 | 0.01 | 9% | 25 Jan → | |
| mirage | 13–8 | 0.01 | 6% | 25 Jan → | |
| mirage | 13–4 | 0.01 | 12% | 25 Jan → | |
| dust2 | 11–13 | -0.01 | 4% | 24 Jan → | |
| dust2 | 13–5 | 0.01 | 5% | 24 Jan → | |
| dust2 | 13–6 | 0.03 | 13% | 24 Jan → | |
| mirage | 6–13 | -0.04 | 5% | 22 Jan → | |
| office | 6–13 | -0.02 | 11% | 22 Jan → | |
| vertigo | 7–7 | 0.12 | 13% | 21 Jan → | |
| mirage | 13–11 | 0.02 | 6% | 21 Jan → | |
| dust2 | 9–13 | -0.01 | 13% | 21 Jan → | |
| nuke | 11–13 | 0.07 | 9% | 18 Jan → | |
| dust2 | 15–15 | 0.04 | 13% | 18 Jan → | |
| ancient | 10–13 | -0.01 | 6% | 7 Jan → | |
| ancient | 13–9 | 0.06 | 9% | 6 Jan → | |
| mirage | 12–12 | 0.00 | 6% | 6 Jan → | |
| nuke | 6–13 | 0.05 | 20% | 2 Jan → | |
| dust2 | 11–13 | -0.03 | 12% | 2 Jan → | |
| italy | 13–9 | 0.02 | 7% | 31 Dec → | |
| nuke | 7–13 | -0.02 | 16% | 31 Dec → |
Match data via Leetify.