zPhantom_ — CS2 Stats
76561199101197114[U:1:1140931386]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 93% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: 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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 569ms 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 6.5/10 (Solid), 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 |
|---|---|---|---|---|---|
| S | 37 | 24–13 | 65% | 0.03 | |
| S | 19 | 14–5 | 74% | 0.04 | |
| S | 12 | 10–2 | 83% | 0.05 | |
| C | 11 | 4–7 | 36% | 0.02 | |
| D | 8 | 1–7 | 13% | 0.03 | |
| C | 5 | 2–3 | 40% | 0.02 | |
| — | 3 | 2–1 | 67% | 0.03 | |
| — | 3 | 0–3 | 0% | 0.01 | |
| — | 2 | 1–1 | 50% | -0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Nuke 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 resultsWLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 158 | 48% | 1.31 | 18.7 |
| Dust2 | 88 | 52% | 1.19 | 18.1 |
| Inferno | 62 | 52% | 1.14 | 17.6 |
| Ancient | 51 | 45% | 1.26 | 19.2 |
| Anubis | 45 | 44% | 1.26 | 18.6 |
| Nuke | 35 | 49% | 1.22 | 19.6 |
| Vertigo | 22 | 50% | 1.46 | 18.6 |
| Overpass | 12 | 50% | 1.39 | 18.2 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.05 | 17% | 15 Aug → | ||
| 10–2 | 0.14 | 38% | 12 Aug → | ||
| 15–15 | 0.00 | 23% | 6 Aug → | ||
| 10–13 | 0.07 | 19% | 27 Jul → | ||
| 9–13 | -0.01 | 8% | 26 Jul → | ||
| 13–7 | 0.03 | 14% | 25 Jul → | ||
| 13–3 | 0.12 | 27% | 25 Jul → | ||
| 13–7 | 0.05 | 21% | 24 Jul → | ||
| 0–2 | -0.00 | 0% | 24 Jul → | ||
| 13–4 | 0.02 | 16% | 23 Jul → | ||
| 5–13 | -0.03 | 19% | 23 Jul → | ||
| 13–0 | 0.12 | 25% | 18 Jul → | ||
| 13–4 | 0.21 | 19% | 28 May → | ||
| 13–10 | 0.08 | 23% | 27 May → | ||
| 13–8 | 0.03 | 28% | 27 May → | ||
| 5–13 | 0.06 | 23% | 27 May → | ||
| 13–3 | -0.00 | 34% | 26 May → | ||
| 11–13 | 0.08 | 31% | 25 May → | ||
| 13–2 | 0.11 | 19% | 16 May → | ||
| 11–13 | 0.03 | 24% | 12 May → | ||
| 13–11 | -0.04 | 25% | 8 May → | ||
| 13–6 | 0.17 | 15% | 7 May → | ||
| 13–5 | 0.02 | 21% | 6 May → | ||
| 13–6 | 0.04 | 13% | 3 May → | ||
| 9–13 | -0.03 | 28% | 2 May → | ||
| 7–13 | 0.02 | 23% | 30 Apr → | ||
| 8–13 | -0.01 | 16% | 3 Apr → | ||
| 6–13 | -0.04 | 17% | 17 Feb → | ||
| 13–5 | 0.02 | 24% | 9 Feb → | ||
| 13–9 | 0.10 | 24% | 2 Feb → | ||
| 13–5 | 0.01 | 17% | 28 Jan → | ||
| 9–13 | 0.03 | 17% | 28 Jan → | ||
| 11–13 | -0.01 | 16% | 26 Jan → | ||
| 13–3 | -0.01 | 20% | 26 Jan → | ||
| 13–8 | 0.03 | 26% | 23 Jan → | ||
| 13–11 | 0.03 | 16% | 18 Jan → | ||
| 11–13 | 0.04 | 20% | 18 Jan → | ||
| 13–10 | 0.01 | 25% | 16 Jan → | ||
| 7–13 | -0.03 | 21% | 14 Jan → | ||
| 13–7 | 0.10 | 13% | 12 Jan → | ||
| 13–5 | 0.11 | 26% | 11 Jan → | ||
| 13–7 | 0.01 | 16% | 10 Jan → | ||
| 15–15 | 0.04 | 28% | 3 Jan → | ||
| 13–9 | 0.05 | 27% | 3 Jan → | ||
| 11–13 | 0.00 | 26% | 31 Dec → | ||
| 13–6 | -0.00 | 14% | 29 Dec → | ||
| 13–10 | 0.10 | 24% | 29 Dec → | ||
| 13–8 | 0.09 | 32% | 26 Dec → | ||
| 2–8 | 0.01 | 19% | 25 Dec → | ||
| 4–13 | -0.01 | 18% | 23 Dec → | ||
| 11–13 | -0.04 | 16% | 19 Dec → | ||
| 9–13 | -0.06 | 25% | 16 Dec → | ||
| 13–9 | -0.08 | 18% | 15 Dec → | ||
| 13–5 | 0.08 | 13% | 14 Dec → | ||
| 13–5 | 0.06 | 12% | 14 Dec → | ||
| 13–6 | 0.04 | 17% | 30 Nov → | ||
| 13–9 | 0.07 | 29% | 30 Nov → | ||
| 13–8 | 0.07 | 17% | 30 Nov → | ||
| 4–13 | -0.05 | 12% | 29 Nov → | ||
| 13–5 | 0.10 | 16% | 25 Nov → | ||
| 4–13 | -0.02 | 26% | 25 Nov → | ||
| 10–13 | -0.05 | 18% | 23 Nov → | ||
| 5–13 | 0.01 | 17% | 23 Nov → | ||
| 15–15 | 0.05 | 26% | 23 Nov → | ||
| 13–9 | -0.06 | 21% | 21 Nov → | ||
| 8–13 | -0.01 | 32% | 20 Nov → | ||
| 2–13 | -0.10 | 10% | 20 Nov → | ||
| 13–8 | 0.07 | 13% | 14 Nov → | ||
| 13–10 | 0.02 | 27% | 9 Nov → | ||
| 16–12 | 0.08 | 9% | 8 Nov → | ||
| 11–3 | 0.03 | 29% | 5 Nov → | ||
| 13–16 | 0.03 | 11% | 2 Nov → | ||
| 13–10 | 0.03 | 14% | 2 Nov → | ||
| 10–3 | -0.03 | 33% | 31 Oct → | ||
| 8–13 | 0.03 | 26% | 31 Oct → | ||
| 13–0 | -0.05 | 15% | 29 Oct → | ||
| 4–13 | -0.04 | 21% | 28 Oct → | ||
| 13–7 | 0.08 | 22% | 26 Oct → | ||
| 8–13 | -0.02 | 20% | 16 Oct → | ||
| 20–22 | 0.05 | 27% | 27 Sept → | ||
| 13–9 | 0.05 | 21% | 14 Sept → | ||
| 8–13 | -0.03 | 19% | 8 Sept → | ||
| 13–9 | 0.12 | 19% | 7 Sept → | ||
| 13–9 | 0.07 | 26% | 7 Sept → | ||
| 14–16 | 0.03 | 16% | 7 Aug → | ||
| 13–10 | 0.02 | 23% | 4 Aug → | ||
| 13–7 | -0.02 | 33% | 4 Aug → | ||
| 10–13 | 0.01 | 18% | 28 Jul → | ||
| 13–9 | 0.05 | 28% | 27 Jul → | ||
| 13–8 | 0.02 | 25% | 24 Jul → | ||
| 13–5 | 0.06 | 23% | 24 Jul → | ||
| 6–13 | 0.01 | 18% | 24 Jul → | ||
| 6–1 | 0.02 | 33% | 24 Jul → | ||
| 13–10 | 0.07 | 14% | 23 Jul → | ||
| 9–13 | 0.02 | 13% | 22 Jul → | ||
| 14–16 | 0.04 | 14% | 22 Jul → | ||
| 7–13 | 0.01 | 24% | 20 Jul → | ||
| 13–11 | -0.04 | 21% | 19 Jul → | ||
| 10–13 | 0.01 | 24% | 19 Jul → | ||
| 16–14 | 0.03 | 13% | 18 Jul → |
Match data via Leetify.