Tohtori — CS2 Stats
FI76561199007931839[U:1:1047666111]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.
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 Twistzz 93% playstyle similarity
Most alike: positioning profile, opening-duel success.
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
Reaction time. 554ms 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 6.1/10 (Solid), 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 |
|---|---|---|---|---|---|
| B | 25 | 12–13 | 48% | 0.02 | |
| S | 25 | 17–8 | 68% | 0.01 | |
| B | 11 | 5–6 | 45% | -0.00 | |
| S | 11 | 8–3 | 73% | -0.00 | |
| A | 10 | 6–4 | 60% | 0.01 | |
| B | 10 | 5–5 | 50% | -0.01 | |
| D | 6 | 2–4 | 33% | -0.03 | |
| — | 1 | 0–1 | 0% | 0.07 | |
| cache_b | — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 289 | 52% | 1.08 | 16.1 |
| Nuke | 243 | 62% | 1.24 | 16.7 |
| Anubis | 151 | 48% | 1.07 | 16.8 |
| Inferno | 125 | 54% | 1.10 | 16.1 |
| Dust2 | 107 | 47% | 1.15 | 16.8 |
| Vertigo | 98 | 53% | 1.15 | 17.5 |
| Mirage | 79 | 29% | 0.92 | 14.7 |
| Train | 39 | 62% | 1.12 | 15.7 |
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.
- 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 38.6831% — 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.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | -0.01 | 35% | 22 Aug → | ||
| 16–19 | -0.05 | 15% | 22 Aug → | ||
| 9–13 | -0.03 | 13% | 22 Aug → | ||
| 13–3 | 0.03 | 33% | 21 Aug → | ||
| 13–9 | 0.01 | 16% | 21 Aug → | ||
| 13–8 | 0.04 | 24% | 19 Aug → | ||
| 13–10 | -0.02 | 17% | 14 Aug → | ||
| 9–13 | -0.02 | 38% | 31 Jul → | ||
| 6–13 | 0.07 | 28% | 31 Jul → | ||
| 13–9 | 0.00 | 18% | 31 Jul → | ||
| 11–5 | 0.12 | 37% | 31 Jul → | ||
| 3–13 | -0.08 | 13% | 31 Jul → | ||
| 13–16 | -0.04 | 36% | 31 Jul → | ||
| 10–13 | -0.02 | 26% | 31 Jul → | ||
| 13–5 | 0.04 | 26% | 31 Jul → | ||
| 6–13 | -0.06 | 42% | 31 Jul → | ||
| 1–13 | -0.04 | 24% | 19 Jul → | ||
| 13–4 | -0.01 | 16% | 19 Jul → | ||
| 5–13 | -0.04 | 43% | 19 Jul → | ||
| 13–5 | -0.02 | 41% | 19 Jul → | ||
| 9–13 | -0.04 | 30% | 9 Jul → | ||
| 1–13 | -0.07 | 25% | 2 Jul → | ||
| 9–13 | 0.00 | 39% | 28 Jun → | ||
| 13–6 | 0.03 | 29% | 28 Jun → | ||
| 13–3 | 0.16 | 26% | 28 Jun → | ||
| 13–11 | 0.00 | 36% | 27 Jun → | ||
| 13–16 | -0.05 | 21% | 7 Jun → | ||
| 13–9 | 0.06 | 21% | 2 Jun → | ||
| 8–13 | 0.00 | 24% | 2 Jun → | ||
| 13–3 | 0.03 | 28% | 1 Jun → | ||
| 5–13 | -0.03 | 17% | 1 Jun → | ||
| 13–8 | 0.01 | 20% | 1 Jun → | ||
| 13–10 | 0.04 | 24% | 30 May → | ||
| 14–16 | -0.03 | 31% | 30 May → | ||
| 10–13 | -0.03 | 13% | 30 May → | ||
| 8–13 | -0.04 | 34% | 29 May → | ||
| 13–6 | 0.13 | 28% | 26 May → | ||
| 11–13 | -0.03 | 33% | 26 May → | ||
| 13–2 | 0.09 | 31% | 26 May → | ||
| 13–8 | -0.02 | 17% | 24 May → | ||
| 7–13 | -0.03 | 37% | 24 May → | ||
| 13–10 | 0.08 | 30% | 22 May → | ||
| 13–6 | 0.04 | 18% | 19 May → | ||
| 13–11 | -0.01 | 24% | 18 May → | ||
| 13–2 | 0.15 | 16% | 18 May → | ||
| 13–5 | 0.10 | 28% | 18 May → | ||
| 16–14 | 0.04 | 22% | 15 May → | ||
| 13–9 | 0.00 | 20% | 15 May → | ||
| 9–0 | -0.00 | 0% | 15 May → | ||
| 7–13 | -0.05 | 17% | 14 May → | ||
| 13–4 | 0.06 | 35% | 14 May → | ||
| 13–2 | 0.04 | 49% | 14 May → | ||
| 8–8 | 0.06 | 18% | 13 May → | ||
| 13–10 | 0.01 | 33% | 8 May → | ||
| 4–13 | -0.03 | 19% | 8 May → | ||
| 13–5 | 0.01 | 36% | 8 May → | ||
| 9–13 | -0.01 | 21% | 8 May → | ||
| 13–6 | -0.00 | 21% | 7 May → | ||
| 11–13 | -0.02 | 48% | 7 May → | ||
| 6–13 | -0.04 | 24% | 2 May → | ||
| 16–13 | -0.01 | 33% | 2 May → | ||
| 13–6 | -0.03 | 27% | 29 Apr → | ||
| 13–10 | 0.03 | 23% | 29 Apr → | ||
| 13–2 | 0.06 | 36% | 29 Apr → | ||
| 4–13 | -0.07 | 23% | 29 Apr → | ||
| 16–13 | 0.02 | 23% | 26 Apr → | ||
| 19–17 | 0.00 | 19% | 26 Apr → | ||
| 10–13 | 0.01 | 19% | 25 Apr → | ||
| 13–11 | -0.01 | 28% | 25 Apr → | ||
| 13–8 | 0.00 | 28% | 25 Apr → | ||
| 7–13 | -0.04 | 29% | 25 Apr → | ||
| 16–14 | 0.07 | 35% | 25 Apr → | ||
| 10–13 | 0.04 | 23% | 25 Apr → | ||
| 13–6 | 0.10 | 29% | 25 Apr → | ||
| 13–7 | 0.06 | 18% | 25 Apr → | ||
| 13–5 | -0.00 | 33% | 25 Apr → | ||
| 6–13 | -0.01 | 29% | 24 Apr → | ||
| 3–13 | -0.09 | 17% | 23 Apr → | ||
| 13–10 | 0.09 | 22% | 23 Apr → | ||
| 13–9 | 0.06 | 29% | 23 Apr → | ||
| 8–13 | -0.01 | 38% | 22 Apr → | ||
| 13–10 | -0.03 | 33% | 22 Apr → | ||
| 13–10 | 0.01 | 24% | 22 Apr → | ||
| 13–8 | 0.04 | 23% | 22 Apr → | ||
| 13–8 | -0.01 | 35% | 22 Apr → | ||
| 12–12 | -0.02 | 20% | 21 Apr → | ||
| 8–13 | 0.01 | 39% | 21 Apr → | ||
| 11–13 | 0.02 | 33% | 21 Apr → | ||
| 13–9 | -0.00 | 41% | 19 Apr → | ||
| 5–13 | 0.03 | 48% | 19 Apr → | ||
| cache_b | 11–13 | -0.04 | 35% | 15 Apr → | |
| 13–8 | 0.02 | 28% | 15 Apr → | ||
| 13–10 | 0.01 | 20% | 15 Apr → | ||
| 8–13 | -0.06 | 23% | 14 Apr → | ||
| 13–11 | -0.01 | 16% | 14 Apr → | ||
| 17–19 | -0.00 | 17% | 14 Apr → | ||
| 13–9 | -0.04 | 32% | 14 Apr → | ||
| 20–22 | 0.03 | 25% | 12 Apr → | ||
| 10–13 | -0.08 | 11% | 11 Apr → | ||
| 8–13 | -0.09 | 22% | 11 Apr → |
Match data via Leetify.
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