Profesor — CS2 Stats
76561198183788810[U:1:223523082]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median | vs Level 10 |
|---|---|---|---|
| Headshot rate | 46.1% | 52.8% | 6.6% short |
| Shot accuracy | 16.0% | 13.7% | above |
| Kill/death ratio | 0.91 | 1.08 | 0.17 short |
| Match win rate | 44.6% | 49.2% | 4.6% short |
This profile matches the typical Level 10 player on 1 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 87% playstyle similarity
Most alike: opening-fight frequency, 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. 602ms 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 6.0/10 (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 | 29 | 13–16 | 45% | -0.01 | |
| B | 27 | 13–14 | 48% | -0.02 | |
| B | 12 | 6–6 | 50% | -0.02 | |
| S | 11 | 10–1 | 91% | 0.00 | |
| S | 8 | 6–2 | 75% | -0.01 | |
| C | 5 | 2–3 | 40% | -0.02 | |
| — | 3 | 3–0 | 100% | -0.01 | |
| — | 3 | 1–2 | 33% | -0.02 | |
| — | 2 | 0–2 | 0% | -0.05 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Dust 2 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 resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 59 | 58% | 0.98 | 15.2 |
| Ancient | 52 | 65% | 1.08 | 15.9 |
| Mirage | 51 | 45% | 0.85 | 12.1 |
| Vertigo | 33 | 52% | 0.86 | 14.1 |
| Overpass | 15 | 60% | 0.85 | 15.4 |
| Nuke | 14 | 57% | 1.09 | 13.7 |
| Inferno | 11 | 45% | 0.97 | 14.2 |
| Dust2 | 6 | 33% | 0.68 | 11.3 |
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 0.397 — 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.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | -0.02 | 24% | 12 Aug → | ||
| 9–13 | 0.01 | 22% | 10 Aug → | ||
| 6–13 | -0.05 | 22% | 6 May → | ||
| 13–6 | 0.02 | 18% | 6 May → | ||
| 12–16 | -0.02 | 20% | 1 May → | ||
| 13–5 | -0.03 | 26% | 1 May → | ||
| 16–13 | -0.08 | 14% | 11 Apr → | ||
| 4–13 | 0.01 | 15% | 9 Apr → | ||
| 13–1 | 0.05 | 13% | 9 Apr → | ||
| 13–8 | -0.00 | 13% | 9 Apr → | ||
| 8–13 | -0.07 | 8% | 8 Apr → | ||
| 6–13 | -0.07 | 12% | 8 Apr → | ||
| 3–13 | -0.06 | 30% | 7 Apr → | ||
| 13–11 | 0.02 | 24% | 7 Apr → | ||
| 13–5 | -0.03 | 6% | 7 Apr → | ||
| 7–13 | -0.11 | 23% | 25 Mar → | ||
| 16–13 | 0.07 | 29% | 24 Mar → | ||
| 13–11 | -0.02 | 23% | 24 Mar → | ||
| 7–13 | -0.03 | 17% | 24 Mar → | ||
| 13–4 | 0.04 | 33% | 22 Mar → | ||
| 11–13 | -0.02 | 31% | 22 Mar → | ||
| 13–6 | 0.09 | 18% | 22 Mar → | ||
| 4–13 | -0.07 | 26% | 21 Mar → | ||
| 13–7 | 0.01 | 14% | 21 Mar → | ||
| 13–6 | -0.04 | 24% | 20 Mar → | ||
| 16–13 | -0.03 | 9% | 20 Mar → | ||
| 13–9 | 0.01 | 6% | 18 Mar → | ||
| 16–13 | 0.04 | 17% | 18 Mar → | ||
| 15–15 | 0.01 | 18% | 18 Mar → | ||
| 13–2 | 0.06 | 13% | 17 Mar → | ||
| 16–14 | -0.02 | 15% | 17 Mar → | ||
| 13–8 | 0.02 | 14% | 17 Mar → | ||
| 13–10 | 0.01 | 11% | 16 Mar → | ||
| 13–8 | -0.01 | 21% | 16 Mar → | ||
| 11–13 | -0.03 | 10% | 14 Mar → | ||
| 13–9 | -0.06 | 10% | 14 Mar → | ||
| 4–13 | -0.07 | 30% | 9 Mar → | ||
| 9–13 | -0.05 | 10% | 9 Mar → | ||
| 13–7 | 0.03 | 43% | 20 Feb → | ||
| 13–5 | 0.03 | 17% | 20 Feb → | ||
| 10–13 | -0.01 | 22% | 20 Feb → | ||
| 15–15 | -0.03 | 10% | 19 Feb → | ||
| 13–7 | 0.05 | 21% | 19 Feb → | ||
| 13–9 | -0.00 | 18% | 19 Feb → | ||
| 15–15 | -0.02 | 17% | 18 Feb → | ||
| 13–10 | 0.03 | 28% | 18 Feb → | ||
| 13–7 | 0.01 | 12% | 18 Feb → | ||
| 13–8 | 0.04 | 14% | 18 Feb → | ||
| 11–13 | 0.03 | 16% | 16 Feb → | ||
| 9–13 | -0.07 | 12% | 16 Feb → | ||
| 13–11 | 0.05 | 18% | 16 Feb → | ||
| 8–13 | -0.04 | 20% | 16 Feb → | ||
| 13–16 | -0.03 | 9% | 15 Feb → | ||
| 13–10 | -0.05 | 11% | 15 Feb → | ||
| 13–5 | -0.03 | 10% | 14 Feb → | ||
| 7–13 | -0.02 | 7% | 14 Feb → | ||
| 13–9 | -0.02 | 21% | 14 Feb → | ||
| 13–4 | 0.01 | 10% | 14 Feb → | ||
| 10–13 | 0.01 | 24% | 14 Feb → | ||
| 6–13 | -0.03 | 12% | 6 Feb → | ||
| 13–11 | 0.04 | 23% | 6 Feb → | ||
| 13–3 | 0.00 | 19% | 6 Feb → | ||
| 13–8 | 0.02 | 28% | 5 Feb → | ||
| 4–13 | -0.04 | 25% | 5 Feb → | ||
| 13–10 | 0.05 | 13% | 3 Feb → | ||
| 13–5 | 0.04 | 7% | 3 Feb → | ||
| 10–13 | -0.03 | 15% | 3 Feb → | ||
| 4–13 | -0.08 | 14% | 12 Jan → | ||
| 14–16 | -0.00 | 13% | 11 Jan → | ||
| 13–6 | 0.03 | 20% | 11 Jan → | ||
| 11–13 | -0.05 | 22% | 10 Jan → | ||
| 13–7 | -0.03 | 22% | 10 Jan → | ||
| 5–13 | -0.06 | 8% | 9 Jan → | ||
| 11–13 | -0.03 | 16% | 9 Jan → | ||
| 6–13 | -0.03 | 16% | 6 Jan → | ||
| 13–11 | 0.02 | 35% | 6 Jan → | ||
| 13–9 | 0.01 | 12% | 5 Jan → | ||
| 13–4 | 0.01 | 25% | 5 Jan → | ||
| 13–11 | 0.00 | 24% | 5 Jan → | ||
| 13–5 | 0.07 | 21% | 5 Jan → | ||
| 13–6 | -0.00 | 19% | 3 Jan → | ||
| 13–5 | 0.02 | 31% | 3 Jan → | ||
| 8–13 | -0.04 | 29% | 1 Jan → | ||
| 5–13 | -0.07 | 14% | 1 Jan → | ||
| 13–6 | 0.03 | 13% | 1 Jan → | ||
| 6–13 | -0.06 | 17% | 1 Jan → | ||
| 13–4 | 0.03 | 24% | 1 Jan → | ||
| 3–13 | -0.04 | 19% | 30 Dec → | ||
| 13–6 | -0.08 | 17% | 30 Dec → | ||
| 13–1 | 0.02 | 13% | 29 Dec → | ||
| 2–13 | -0.10 | 40% | 15 Dec → | ||
| 2–13 | -0.07 | 17% | 15 Dec → | ||
| 9–13 | -0.06 | 17% | 30 Oct → | ||
| 4–13 | -0.03 | 25% | 23 Oct → | ||
| 7–13 | -0.08 | 25% | 23 Oct → | ||
| 1–13 | -0.05 | 19% | 21 Oct → | ||
| 4–13 | -0.07 | 19% | 21 Oct → | ||
| 10–13 | 0.02 | 18% | 20 Oct → | ||
| 13–9 | -0.05 | 23% | 16 Oct → | ||
| 3–13 | -0.05 | 16% | 9 Oct → |
Match data via Leetify.