Pham — CS2 Stats
NO76561198008916892[U:1:48651164]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingEffective flashes
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 sh1ro 94% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: 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
Strengths
Aim. Aim score of 92 — the mechanical foundation is a clear strength.
Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.
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. 587ms 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 7.8/10 (Strong), 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 |
|---|---|---|---|---|---|
 mirage | A | 28 | 16–12 | 57% | 0.01 |
 ancient | S | 20 | 13–7 | 65% | 0.04 |
 nuke | S | 16 | 11–5 | 69% | 0.02 |
 anubis | C | 13 | 5–8 | 38% | -0.01 |
 inferno | A | 11 | 6–5 | 55% | 0.02 |
 overpass | S | 6 | 4–2 | 67% | 0.03 |
 dust2 | — | 4 | 2–2 | 50% | 0.01 |
 train | — | 2 | 1–1 | 50% | 0.05 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 94 | 53% | 1.14 | 16.6 |
| Nuke | 88 | 62% | 1.22 | 17.7 |
| Mirage | 66 | 47% | 1.14 | 18.0 |
| Inferno | 65 | 51% | 1.19 | 17.6 |
| Anubis | 40 | 42% | 1.05 | 15.3 |
| Overpass | 29 | 59% | 1.22 | 16.2 |
| Dust2 | 22 | 59% | 1.25 | 17.7 |
| Train | 9 | 56% | 0.95 | 14.7 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 13–7 | -0.01 | 28% | 14 Aug → | |
| inferno | 13–9 | 0.03 | 32% | 9 Jun → | |
| nuke | 4–13 | -0.00 | 32% | 2 May → | |
| inferno | 16–14 | 0.03 | 36% | 26 Apr → | |
| mirage | 12–12 | 0.09 | 27% | 21 Apr → | |
| inferno | 13–5 | 0.13 | 24% | 3 Apr → | |
| nuke | 15–15 | 0.02 | 26% | 7 Mar → | |
| mirage | 13–8 | 0.04 | 29% | 6 Mar → | |
| mirage | 4–13 | -0.03 | 38% | 2 Mar → | |
| inferno | 8–2 | -0.03 | 19% | 27 Feb → | |
| inferno | 7–13 | -0.03 | 32% | 26 Feb → | |
| mirage | 13–5 | -0.02 | 29% | 26 Feb → | |
| ancient | 13–10 | 0.04 | 43% | 16 Feb → | |
| ancient | 6–13 | 0.00 | 17% | 15 Feb → | |
| ancient | 13–11 | 0.01 | 29% | 15 Feb → | |
| overpass | 13–10 | -0.01 | 38% | 13 Feb → | |
| mirage | 13–8 | 0.00 | 60% | 13 Feb → | |
| ancient | 3–13 | -0.05 | 27% | 13 Feb → | |
| overpass | 13–10 | 0.08 | 27% | 11 Jan → | |
| inferno | 13–3 | 0.06 | 35% | 10 Jan → | |
| train | 13–8 | 0.14 | 35% | 10 Jan → | |
| ancient | 8–0 | 0.16 | 30% | 10 Jan → | |
| overpass | 13–10 | 0.00 | 29% | 28 Jul → | |
| overpass | 8–13 | 0.00 | 23% | 25 Jul → | |
| ancient | 10–13 | 0.05 | 28% | 30 May → | |
| train | 7–13 | -0.04 | 50% | 30 May → | |
| anubis | 13–10 | -0.02 | 22% | 30 May → | |
| anubis | 13–6 | 0.01 | 16% | 30 Apr → | |
| nuke | 16–13 | 0.01 | 22% | 8 Apr → | |
| dust2 | 7–13 | -0.06 | 52% | 5 Apr → | |
| mirage | 8–13 | 0.03 | 48% | 4 Apr → | |
| anubis | 2–13 | -0.02 | 38% | 4 Apr → | |
| ancient | 3–0 | 0.10 | 27% | 4 Apr → | |
| nuke | 13–8 | 0.03 | 38% | 3 Apr → | |
| inferno | 7–13 | 0.03 | 28% | 1 Apr → | |
| dust2 | 14–16 | -0.00 | 18% | 1 Apr → | |
| mirage | 10–5 | -0.04 | 29% | 1 Apr → | |
| anubis | 7–13 | 0.01 | 33% | 29 Mar → | |
| mirage | 9–13 | -0.00 | 26% | 29 Mar → | |
| anubis | 11–13 | 0.02 | 23% | 21 Mar → | |
| nuke | 11–13 | 0.02 | 39% | 15 Mar → | |
| anubis | 10–13 | -0.02 | 26% | 15 Mar → | |
| mirage | 13–6 | 0.09 | 30% | 15 Mar → | |
| mirage | 13–10 | -0.01 | 13% | 10 Mar → | |
| mirage | 13–9 | -0.04 | 29% | 10 Mar → | |
| ancient | 13–10 | -0.03 | 30% | 8 Mar → | |
| mirage | 1–13 | -0.07 | 58% | 8 Mar → | |
| anubis | 14–16 | -0.08 | 16% | 4 Mar → | |
| ancient | 13–4 | -0.00 | 34% | 26 Feb → | |
| dust2 | 13–6 | 0.06 | 41% | 26 Feb → | |
| nuke | 13–6 | 0.04 | 31% | 26 Feb → | |
| ancient | 13–11 | -0.00 | 35% | 22 Feb → | |
| nuke | 2–13 | 0.03 | 39% | 19 Feb → | |
| anubis | 14–16 | -0.05 | 19% | 17 Jan → | |
| nuke | 16–14 | -0.03 | 20% | 5 Oct → | |
| mirage | 15–15 | 0.03 | 21% | 8 Aug → | |
| dust2 | 13–3 | 0.06 | 40% | 8 Aug → | |
| ancient | 13–3 | 0.04 | 28% | 10 Mar → | |
| nuke | 13–7 | 0.05 | 22% | 10 Mar → | |
| ancient | 13–0 | 0.21 | 27% | 10 Mar → | |
| ancient | 14–16 | 0.01 | 23% | 9 Mar → | |
| mirage | 13–7 | -0.00 | 32% | 5 Mar → | |
| nuke | 10–13 | -0.00 | 46% | 25 Feb → | |
| nuke | 13–8 | 0.04 | 24% | 25 Feb → | |
| nuke | 13–7 | -0.00 | 30% | 25 Feb → | |
| nuke | 22–18 | 0.06 | 34% | 24 Feb → | |
| overpass | 13–9 | 0.09 | 18% | 24 Feb → | |
| inferno | 13–10 | 0.02 | 34% | 22 Feb → | |
| inferno | 4–13 | 0.03 | 38% | 20 Feb → | |
| ancient | 13–11 | 0.06 | 31% | 18 Feb → | |
| nuke | 13–2 | 0.01 | 43% | 18 Feb → | |
| overpass | 7–13 | -0.00 | 27% | 18 Feb → | |
| ancient | 13–5 | 0.12 | 20% | 18 Feb → | |
| nuke | 13–8 | 0.10 | 29% | 16 Feb → | |
| mirage | 10–13 | -0.05 | 17% | 16 Feb → | |
| anubis | 13–6 | 0.03 | 23% | 15 Feb → | |
| mirage | 13–7 | -0.06 | 9% | 15 Feb → | |
| anubis | 13–10 | 0.08 | 30% | 11 Feb → | |
| mirage | 0–0 | -0.03 | 55% | 11 Feb → | |
| ancient | 13–11 | 0.07 | 26% | 11 Feb → | |
| mirage | 13–11 | 0.08 | 33% | 11 Feb → | |
| ancient | 13–4 | 0.10 | 31% | 11 Feb → | |
| mirage | 13–4 | 0.10 | 29% | 11 Feb → | |
| ancient | 11–13 | 0.00 | 36% | 11 Feb → | |
| anubis | 13–6 | 0.06 | 33% | 11 Feb → | |
| mirage | 13–8 | 0.03 | 26% | 11 Feb → | |
| mirage | 11–13 | 0.01 | 21% | 11 Feb → | |
| anubis | 13–16 | -0.03 | 18% | 9 Feb → | |
| mirage | 13–8 | 0.06 | 26% | 9 Feb → | |
| mirage | 13–6 | 0.19 | 30% | 9 Feb → | |
| mirage | 13–16 | -0.05 | 34% | 8 Feb → | |
| ancient | 4–13 | -0.04 | 27% | 8 Feb → | |
| ancient | 11–13 | -0.08 | 28% | 8 Feb → | |
| mirage | 8–13 | -0.06 | 27% | 8 Feb → | |
| mirage | 13–8 | 0.04 | 32% | 8 Feb → | |
| mirage | 13–9 | 0.04 | 29% | 7 Feb → | |
| anubis | 6–13 | -0.05 | 33% | 6 Feb → | |
| inferno | 13–15 | -0.05 | 20% | 4 Feb → | |
| inferno | 13–16 | -0.01 | 35% | 4 Feb → | |
| mirage | 9–13 | -0.05 | 30% | 4 Feb → |
Match data via Leetify.
