MOR-tician — CS2 Stats
FR76561199078440620[U:1:1118174892]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.01 avg rating
Player DNA
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 73% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower opening-duel success; 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. 705ms 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 3.9/10 (Learning), 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 81 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 |
|---|---|---|---|---|---|
 train | A | 20 | 12–8 | 60% | -0.02 |
 mirage | B | 13 | 6–7 | 46% | -0.00 |
 vertigo | A | 11 | 6–5 | 55% | -0.05 |
 nuke | B | 10 | 5–5 | 50% | -0.04 |
 inferno | S | 6 | 5–1 | 83% | -0.02 |
 dust2 | D | 5 | 1–4 | 20% | -0.03 |
 overpass | D | 5 | 1–4 | 20% | -0.05 |
 anubis | A | 5 | 3–2 | 60% | -0.04 |
 ancient | — | 2 | 2–0 | 100% | -0.01 |
 cache | — | 2 | 0–2 | 0% | -0.11 |
| tuscan | — | 1 | 0–1 | 0% | -0.08 |
| office | — | 1 | 0–1 | 0% | -0.04 |
Across the last 81 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.6818° — above the 12° mark we flag
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 9.7071% — below the 15% mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 704.8754ms — above the 700ms mark we flag
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 | |
|---|---|---|---|---|---|
| mirage | 13–4 | -0.02 | 9% | 15 May → | |
| inferno | 12–12 | -0.07 | 9% | 15 May → | |
| inferno | 13–7 | -0.07 | 12% | 25 Apr → | |
| mirage | 13–9 | -0.01 | 18% | 24 Apr → | |
| mirage | 6–13 | -0.06 | 17% | 24 Apr → | |
| mirage | 8–13 | 0.06 | 8% | 12 Apr → | |
| inferno | 13–7 | 0.02 | 13% | 12 Apr → | |
| train | 13–10 | 0.02 | 11% | 6 Apr → | |
| nuke | 3–13 | -0.06 | 0% | 4 Apr → | |
| nuke | 10–13 | 0.00 | 9% | 4 Apr → | |
| inferno | 13–5 | 0.08 | 11% | 28 Mar → | |
| dust2 | 10–13 | -0.04 | 12% | 28 Mar → | |
| dust2 | 13–6 | -0.01 | 14% | 28 Mar → | |
| overpass | 11–13 | -0.05 | 8% | 28 Mar → | |
| nuke | 9–13 | -0.04 | 10% | 22 Mar → | |
| mirage | 12–12 | -0.05 | 4% | 30 Dec → | |
| vertigo | 10–8 | -0.09 | 8% | 29 Dec → | |
| nuke | 13–3 | -0.03 | 27% | 22 Dec → | |
| vertigo | 13–8 | 0.01 | 2% | 20 Dec → | |
| dust2 | 5–13 | -0.08 | 9% | 20 Dec → | |
| vertigo | 13–8 | -0.00 | 10% | 20 Dec → | |
| vertigo | 7–13 | -0.04 | 7% | 20 Dec → | |
| inferno | 13–9 | -0.00 | 7% | 20 Dec → | |
| mirage | 6–13 | 0.00 | 6% | 20 Dec → | |
| dust2 | 11–13 | 0.05 | 10% | 16 Dec → | |
| train | 13–10 | 0.03 | 5% | 6 Aug → | |
| ancient | 13–6 | -0.00 | 7% | 6 Jul → | |
| nuke | 13–3 | 0.03 | 9% | 6 Jul → | |
| mirage | 13–9 | -0.01 | 11% | 6 Jul → | |
| overpass | 13–11 | -0.04 | 13% | 6 Jul → | |
| ancient | 13–9 | -0.02 | 12% | 6 Jul → | |
| nuke | 13–6 | -0.00 | 15% | 30 Jun → | |
| overpass | 12–12 | -0.08 | 13% | 29 Jun → | |
| train | 13–4 | -0.07 | 16% | 29 Jun → | |
| mirage | 13–2 | 0.17 | 9% | 29 Jun → | |
| vertigo | 11–13 | -0.08 | 3% | 29 Jun → | |
| anubis | 13–9 | -0.05 | 12% | 29 Jun → | |
| anubis | 8–13 | -0.01 | 7% | 29 Jun → | |
| anubis | 4–13 | -0.07 | 9% | 29 Jun → | |
| mirage | 13–8 | 0.06 | 6% | 28 Jun → | |
| mirage | 10–13 | -0.05 | 15% | 28 Jun → | |
| anubis | 13–0 | 0.02 | 21% | 27 Jun → | |
| train | 13–9 | -0.02 | 10% | 27 Jun → | |
| anubis | 13–9 | -0.07 | 12% | 27 Jun → | |
| vertigo | 4–5 | -0.07 | 7% | 26 Jun → | |
| train | 13–7 | -0.02 | 14% | 22 Jun → | |
| inferno | 13–11 | -0.05 | 10% | 22 Jun → | |
| train | 11–13 | -0.03 | 3% | 17 Jun → | |
| train | 13–7 | 0.02 | 3% | 17 Jun → | |
| train | 13–7 | 0.02 | 8% | 15 Jun → | |
| train | 15–15 | -0.02 | 10% | 15 Jun → | |
| train | 13–4 | 0.00 | 9% | 14 Jun → | |
| train | 8–13 | -0.02 | 5% | 8 Jun → | |
| train | 13–4 | 0.01 | 5% | 3 Jun → | |
| vertigo | 7–13 | -0.04 | 12% | 1 Jun → | |
| overpass | 6–13 | -0.07 | 11% | 27 May → | |
| train | 7–13 | -0.08 | 18% | 27 May → | |
| train | 2–13 | -0.03 | 2% | 27 May → | |
| train | 7–13 | -0.08 | 16% | 27 May → | |
| train | 13–11 | -0.01 | 7% | 26 May → | |
| dust2 | 10–13 | -0.09 | 12% | 26 May → | |
| train | 2–13 | -0.01 | 3% | 26 May → | |
| train | 6–13 | -0.07 | 13% | 26 May → | |
| train | 13–4 | 0.01 | 11% | 26 May → | |
| train | 13–11 | -0.07 | 15% | 25 May → | |
| nuke | 6–13 | -0.14 | 25% | 14 Oct → | |
| nuke | 0–13 | -0.04 | 6% | 29 Sept → | |
| overpass | 8–13 | 0.02 | 12% | 28 Sept → | |
| vertigo | 16–9 | 0.05 | 16% | 6 Sept → | |
| vertigo | 0–9 | -0.10 | 7% | 6 Sept → | |
| mirage | 9–7 | 0.06 | 3% | 24 Jul → | |
| cache | 3–9 | -0.15 | 0% | 24 Jul → | |
| mirage | 4–9 | -0.11 | 7% | 25 Jun → | |
| mirage | 15–15 | -0.06 | 4% | 14 Feb → | |
| vertigo | 9–6 | -0.12 | 14% | 13 Feb → | |
| tuscan | 4–16 | -0.08 | 7% | 13 Sept → | |
| vertigo | 9–5 | -0.11 | 10% | 3 Sept → | |
| nuke | 16–11 | -0.07 | 9% | 1 Aug → | |
| cache | 3–9 | -0.07 | 0% | 1 Aug → | |
| office | 5–9 | -0.04 | 11% | 30 Jul → | |
| nuke | 9–6 | -0.05 | 8% | 30 Jul → |
Match data via Leetify.
