soulzigz — CS2 Stats
76561198041006983[U:1:80741255]Steam profile ↗
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: +0pp win rate · -0.01 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 ropz 81% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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. 688ms 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 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 31 | 16–15 | 52% | -0.01 | |
| D | 16 | 4–12 | 25% | -0.00 | |
| D | 12 | 4–8 | 33% | -0.01 | |
| D | 11 | 3–8 | 27% | -0.03 | |
| D | 11 | 3–8 | 27% | 0.02 | |
| D | 8 | 2–6 | 25% | -0.03 | |
| — | 3 | 2–1 | 67% | 0.07 | |
| — | 3 | 1–2 | 33% | 0.06 | |
| — | 2 | 0–2 | 0% | -0.11 | |
| — | 2 | 1–1 | 50% | 0.03 | |
| stronghold | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 57 | 42% | 0.92 | 14.5 |
| Anubis | 30 | 33% | 0.74 | 11.8 |
| Ancient | 26 | 54% | 0.89 | 12.6 |
| Inferno | 21 | 24% | 0.82 | 13.4 |
| Nuke | 15 | 27% | 0.74 | 12.3 |
| Dust2 | 12 | 42% | 0.92 | 14.7 |
| Train | 3 | 67% | 0.90 | 14.3 |
| Vertigo | 3 | 0% | 0.57 | 9.7 |
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.
- 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 0.1852 — 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.
25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | 0.01 | 31% | 17 Aug → | ||
| 2–13 | -0.02 | 53% | 2 Aug → | ||
| 12–12 | 0.01 | 23% | 8 Jul → | ||
| 6–0 | 0.11 | 43% | 8 Jul → | ||
| 8–13 | 0.02 | 24% | 14 Jun → | ||
| 3–13 | -0.04 | 26% | 14 Jun → | ||
| 11–13 | -0.04 | 20% | 14 Jun → | ||
| 7–13 | -0.03 | 45% | 14 Jun → | ||
| 13–8 | 0.03 | 22% | 20 May → | ||
| 13–6 | -0.05 | 18% | 20 May → | ||
| 13–8 | -0.04 | 21% | 16 May → | ||
| 12–12 | 0.05 | 19% | 16 May → | ||
| 5–13 | 0.00 | 21% | 10 May → | ||
| 4–13 | -0.04 | 24% | 10 May → | ||
| 8–13 | -0.04 | 13% | 10 May → | ||
| 10–13 | 0.05 | 24% | 10 May → | ||
| 13–10 | 0.01 | 38% | 8 May → | ||
| 13–8 | 0.12 | 24% | 8 May → | ||
| 11–13 | 0.08 | 32% | 8 May → | ||
| 7–13 | -0.05 | 18% | 6 May → | ||
| 8–8 | -0.05 | 14% | 6 May → | ||
| 11–13 | 0.13 | 34% | 6 May → | ||
| 7–13 | -0.07 | 16% | 1 May → | ||
| 13–16 | 0.04 | 21% | 26 Apr → | ||
| 14–16 | -0.01 | 22% | 26 Apr → | ||
| 11–13 | 0.08 | 29% | 26 Apr → | ||
| 13–7 | 0.05 | 22% | 25 Apr → | ||
| 11–13 | -0.06 | 14% | 24 Apr → | ||
| 12–12 | 0.00 | 15% | 24 Apr → | ||
| 3–4 | 0.05 | 21% | 23 Apr → | ||
| 13–7 | -0.06 | 14% | 23 Apr → | ||
| 15–15 | 0.06 | 27% | 22 Apr → | ||
| 7–13 | 0.03 | 13% | 22 Apr → | ||
| 12–12 | -0.04 | 17% | 22 Apr → | ||
| 6–13 | -0.03 | 22% | 22 Apr → | ||
| 12–12 | 0.06 | 25% | 20 Apr → | ||
| 12–12 | -0.03 | 29% | 20 Apr → | ||
| 13–11 | -0.03 | 13% | 20 Apr → | ||
| 13–3 | -0.04 | 10% | 19 Apr → | ||
| 10–13 | -0.01 | 20% | 19 Apr → | ||
| 14–16 | -0.06 | 24% | 18 Apr → | ||
| 13–11 | -0.04 | 18% | 18 Apr → | ||
| 12–12 | 0.04 | 35% | 18 Apr → | ||
| 8–11 | -0.01 | 27% | 17 Apr → | ||
| 10–13 | -0.01 | 30% | 17 Apr → | ||
| 13–9 | 0.05 | 30% | 17 Apr → | ||
| 3–13 | -0.03 | 21% | 17 Apr → | ||
| 13–9 | 0.04 | 31% | 16 Apr → | ||
| 9–13 | -0.01 | 27% | 16 Apr → | ||
| 13–5 | 0.04 | 20% | 16 Apr → | ||
| 8–13 | -0.09 | 19% | 12 Apr → | ||
| 6–13 | -0.05 | 42% | 10 Apr → | ||
| 3–13 | -0.05 | 44% | 9 Apr → | ||
| 10–13 | 0.01 | 26% | 8 Apr → | ||
| 8–13 | -0.01 | 27% | 8 Apr → | ||
| 8–13 | 0.04 | 31% | 8 Apr → | ||
| 4–9 | -0.18 | 10% | 8 Apr → | ||
| 10–13 | -0.05 | 28% | 4 Apr → | ||
| 13–9 | 0.08 | 29% | 4 Apr → | ||
| 4–13 | -0.08 | 21% | 4 Apr → | ||
| 5–13 | -0.02 | 11% | 2 Apr → | ||
| 13–6 | -0.02 | 22% | 2 Apr → | ||
| 11–13 | -0.09 | 15% | 31 Mar → | ||
| 11–13 | 0.02 | 21% | 31 Mar → | ||
| 13–7 | -0.07 | 29% | 29 Mar → | ||
| stronghold | 11–13 | -0.01 | 24% | 29 Mar → | |
| 10–13 | 0.00 | 18% | 29 Mar → | ||
| 7–13 | -0.02 | 32% | 27 Mar → | ||
| 13–8 | -0.02 | 17% | 27 Mar → | ||
| 13–10 | -0.02 | 16% | 27 Mar → | ||
| 16–14 | -0.09 | 9% | 26 Mar → | ||
| 11–13 | 0.00 | 30% | 26 Mar → | ||
| 13–10 | -0.02 | 18% | 26 Mar → | ||
| 3–13 | -0.05 | 23% | 25 Mar → | ||
| 13–7 | -0.07 | 16% | 25 Mar → | ||
| 5–13 | -0.07 | 19% | 25 Mar → | ||
| 6–13 | -0.06 | 16% | 24 Mar → | ||
| 13–3 | 0.08 | 14% | 24 Mar → | ||
| 9–1 | 0.19 | 40% | 24 Mar → | ||
| 7–9 | -0.05 | 15% | 24 Mar → | ||
| 13–16 | 0.02 | 22% | 23 Mar → | ||
| 13–6 | -0.04 | 10% | 23 Mar → | ||
| 13–2 | 0.01 | 36% | 23 Mar → | ||
| 13–11 | 0.02 | 14% | 23 Mar → | ||
| 1–13 | -0.00 | 18% | 21 Mar → | ||
| 5–13 | -0.07 | 10% | 21 Mar → | ||
| 13–8 | -0.02 | 21% | 21 Mar → | ||
| 13–10 | -0.01 | 19% | 21 Mar → | ||
| 6–2 | 0.20 | 17% | 21 Mar → | ||
| 13–9 | -0.03 | 20% | 21 Mar → | ||
| 10–13 | 0.02 | 23% | 20 Mar → | ||
| 13–10 | -0.02 | 18% | 20 Mar → | ||
| 6–13 | -0.02 | 15% | 20 Mar → | ||
| 13–6 | 0.10 | 28% | 20 Mar → | ||
| 13–7 | -0.01 | 37% | 20 Mar → | ||
| 9–13 | -0.07 | 31% | 20 Mar → | ||
| 4–9 | -0.06 | 25% | 18 Mar → | ||
| 3–9 | -0.15 | 14% | 18 Mar → | ||
| 13–11 | 0.07 | 36% | 18 Mar → | ||
| 13–9 | 0.02 | 17% | 18 Mar → |
Match data via Leetify.