sup3rant — CS2 Stats
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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.
Sharp aimerExcellent counter-strafingStrong CT-side opener
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 b1t 96% playstyle similarity
Most alike: opening-fight frequency, 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 90 — the mechanical foundation is a clear strength.
Areas to improve
T-side openings. Opening success drops from 55% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 571ms 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 7.7/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
| C | 28 | 12–16 | 43% | 0.03 | |
| A | 19 | 11–8 | 58% | 0.01 | |
| B | 14 | 7–7 | 50% | 0.02 | |
| C | 10 | 4–6 | 40% | 0.04 | |
| D | 9 | 2–7 | 22% | 0.05 | |
| S | 8 | 7–1 | 88% | 0.07 | |
| D | 5 | 1–4 | 20% | 0.03 | |
| — | 3 | 0–3 | 0% | 0.00 | |
| fachwerk | — | 1 | 1–0 | 100% | 0.04 |
| boulder | — | 1 | 1–0 | 100% | 0.09 |
| italy | — | 1 | 1–0 | 100% | 0.17 |
| alpine | — | 1 | 0–1 | 0% | -0.06 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 151 | 62% | 1.30 | 16.0 |
| Nuke | 80 | 70% | 1.44 | 17.5 |
| Inferno | 54 | 61% | 1.15 | 15.9 |
| Anubis | 42 | 60% | 1.15 | 16.2 |
| Dust2 | 38 | 53% | 1.23 | 17.2 |
| Vertigo | 38 | 61% | 1.42 | 18.0 |
| Ancient | 20 | 45% | 1.03 | 16.2 |
| Overpass | 15 | 60% | 0.95 | 14.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | 0.04 | 37% | 23 Aug → | ||
| 3–4 | -0.01 | 11% | 16 Aug → | ||
| 16–12 | 0.09 | 19% | 16 Aug → | ||
| 3–13 | -0.03 | 14% | 15 Aug → | ||
| 13–10 | 0.07 | 26% | 14 Aug → | ||
| 13–4 | 0.19 | 31% | 11 Aug → | ||
| 16–14 | 0.03 | 27% | 9 Aug → | ||
| 13–5 | 0.06 | 27% | 9 Aug → | ||
| 13–6 | 0.08 | 21% | 8 Aug → | ||
| 5–13 | -0.03 | 23% | 8 Aug → | ||
| 13–8 | 0.03 | 30% | 6 Aug → | ||
| 13–11 | -0.01 | 21% | 6 Aug → | ||
| 13–1 | 0.00 | 23% | 2 Aug → | ||
| 13–4 | 0.05 | 28% | 2 Aug → | ||
| 6–5 | -0.02 | 25% | 2 Aug → | ||
| 10–13 | -0.08 | 22% | 26 Jul → | ||
| 9–13 | 0.03 | 30% | 19 Jul → | ||
| 13–6 | 0.08 | 19% | 18 Jul → | ||
| 9–13 | 0.06 | 25% | 18 Jul → | ||
| 13–3 | 0.12 | 32% | 14 Jul → | ||
| 10–13 | 0.14 | 39% | 11 Jul → | ||
| 13–4 | 0.04 | 31% | 11 Jul → | ||
| 13–2 | 0.06 | 33% | 11 Jul → | ||
| 8–13 | 0.04 | 19% | 11 Jul → | ||
| fachwerk | 13–11 | 0.04 | 21% | 9 Jul → | |
| boulder | 13–6 | 0.09 | 24% | 9 Jul → | |
| 3–8 | -0.03 | 43% | 8 Jul → | ||
| 6–13 | 0.02 | 34% | 7 Jul → | ||
| 13–7 | 0.07 | 24% | 27 Jun → | ||
| 13–5 | 0.10 | 23% | 27 Jun → | ||
| 13–3 | 0.07 | 28% | 26 Jun → | ||
| 13–5 | 0.09 | 30% | 26 Jun → | ||
| 8–13 | 0.05 | 33% | 21 Jun → | ||
| 13–5 | 0.18 | 28% | 20 Jun → | ||
| 16–12 | 0.05 | 25% | 13 Jun → | ||
| 13–1 | 0.18 | 33% | 13 Jun → | ||
| 12–12 | 0.05 | 21% | 10 Jun → | ||
| italy | 13–8 | 0.17 | 36% | 9 Jun → | |
| 5–13 | -0.08 | 19% | 8 Jun → | ||
| 15–15 | -0.00 | 22% | 7 Jun → | ||
| 3–4 | 0.04 | 24% | 5 Jun → | ||
| 9–5 | 0.02 | 22% | 5 Jun → | ||
| 13–2 | 0.14 | 37% | 4 Jun → | ||
| 3–13 | -0.07 | 24% | 31 May → | ||
| 16–13 | 0.06 | 23% | 30 May → | ||
| 13–5 | -0.01 | 21% | 30 May → | ||
| 13–8 | -0.01 | 19% | 30 May → | ||
| 7–4 | -0.07 | 7% | 29 May → | ||
| 8–13 | 0.06 | 30% | 24 May → | ||
| 13–8 | 0.15 | 24% | 24 May → | ||
| 1–2 | -0.10 | 0% | 24 May → | ||
| 6–13 | 0.12 | 34% | 23 May → | ||
| 13–11 | 0.03 | 29% | 16 May → | ||
| 13–8 | 0.05 | 17% | 15 May → | ||
| 5–13 | -0.03 | 28% | 14 May → | ||
| 13–11 | 0.04 | 32% | 10 May → | ||
| 1–13 | -0.05 | 17% | 10 May → | ||
| 11–13 | 0.05 | 25% | 9 May → | ||
| 1–13 | -0.03 | 17% | 9 May → | ||
| 0–3 | -0.08 | 0% | 6 May → | ||
| 3–13 | -0.08 | 18% | 5 May → | ||
| 10–13 | 0.05 | 33% | 4 May → | ||
| 5–13 | 0.01 | 25% | 2 May → | ||
| 4–13 | 0.02 | 20% | 2 May → | ||
| 10–13 | 0.01 | 27% | 2 May → | ||
| 9–13 | -0.00 | 33% | 29 Apr → | ||
| 13–8 | 0.05 | 26% | 28 Apr → | ||
| 0–9 | -0.01 | 25% | 26 Apr → | ||
| 1–13 | -0.02 | 35% | 26 Apr → | ||
| 13–16 | 0.06 | 42% | 26 Apr → | ||
| 2–13 | -0.05 | 36% | 26 Apr → | ||
| 11–13 | 0.07 | 18% | 25 Apr → | ||
| 2–13 | 0.06 | 25% | 25 Apr → | ||
| 12–12 | -0.01 | 20% | 25 Apr → | ||
| 13–5 | 0.00 | 33% | 25 Apr → | ||
| 13–10 | 0.01 | 29% | 25 Apr → | ||
| 13–2 | 0.09 | 24% | 25 Apr → | ||
| 8–13 | 0.04 | 34% | 25 Apr → | ||
| 13–9 | -0.01 | 11% | 23 Apr → | ||
| 13–8 | 0.17 | 27% | 23 Apr → | ||
| 11–13 | 0.02 | 24% | 22 Apr → | ||
| 13–7 | 0.03 | 21% | 21 Apr → | ||
| 13–7 | -0.01 | 36% | 20 Apr → | ||
| 10–13 | 0.03 | 22% | 19 Apr → | ||
| 3–13 | -0.02 | 31% | 19 Apr → | ||
| 6–13 | -0.02 | 17% | 18 Apr → | ||
| 13–1 | 0.03 | 15% | 18 Apr → | ||
| alpine | 6–13 | -0.06 | 17% | 12 Apr → | |
| 4–13 | 0.01 | 20% | 12 Apr → | ||
| 6–13 | -0.04 | 15% | 12 Apr → | ||
| 4–13 | 0.04 | 39% | 12 Apr → | ||
| 13–7 | 0.12 | 20% | 12 Apr → | ||
| 11–13 | 0.03 | 27% | 11 Apr → | ||
| 13–7 | 0.01 | 16% | 11 Apr → | ||
| 16–14 | 0.11 | 24% | 11 Apr → | ||
| 0–2 | -0.02 | 0% | 11 Apr → | ||
| 12–16 | 0.07 | 19% | 10 Apr → | ||
| 11–13 | 0.01 | 26% | 10 Apr → | ||
| 11–13 | -0.04 | 15% | 10 Apr → | ||
| 6–13 | -0.00 | 30% | 10 Apr → |
Match data via Leetify.