Dr. Strange — CS2 Stats
US76561198119865848[U:1:159600120]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.06 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Limited utility dependence
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 82% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower utility contribution; 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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Counter-strafing. Only 0% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 4.1/10 (Developing), 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 | 25 | 10–15 | 40% | 0.01 | |
| D | 15 | 3–12 | 20% | -0.00 | |
| C | 14 | 6–8 | 43% | 0.02 | |
| C | 14 | 5–9 | 36% | -0.01 | |
| C | 10 | 4–6 | 40% | 0.01 | |
| C | 8 | 3–5 | 38% | 0.04 | |
| D | 7 | 2–5 | 29% | 0.03 | |
| — | 3 | 2–1 | 67% | 0.03 | |
| — | 2 | 1–1 | 50% | 0.12 | |
| office | — | 1 | 1–0 | 100% | 0.06 |
| — | 1 | 0–1 | 0% | 0.04 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Anubis 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 resultsLLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 23 | 70% | 1.05 | 15.1 |
| Mirage | 21 | 57% | 1.12 | 15.4 |
| Ancient | 15 | 60% | 1.45 | 18.2 |
| Anubis | 13 | 54% | 1.19 | 16.6 |
| Nuke | 11 | 73% | 1.21 | 20.6 |
| Vertigo | 10 | 50% | 1.10 | 19.5 |
| Inferno | 6 | 50% | 1.11 | 22.5 |
| Train | 3 | 33% | 0.77 | 12.7 |
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.7079° — above the 12° mark we flag
- Movement GuidePractice Config →
Under half your shots are taken fully stopped, so the bullets are going where the spread sends them rather than where you aim.
Counter-strafing 0% — below the 45% 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 14.2335% — below the 15% 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 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | 0.16 | 9% | 20 Aug → | ||
| 10–13 | 0.16 | 12% | 20 Aug → | ||
| 4–13 | -0.01 | 14% | 20 Aug → | ||
| 6–13 | 0.00 | 18% | 18 Aug → | ||
| 4–13 | -0.04 | 11% | 18 Aug → | ||
| 4–9 | -0.03 | 10% | 18 Aug → | ||
| 3–13 | -0.01 | 16% | 18 Aug → | ||
| 2–0 | -0.01 | 0% | 18 Aug → | ||
| 13–5 | 0.11 | 27% | 17 Aug → | ||
| 13–7 | 0.03 | 13% | 17 Aug → | ||
| 13–5 | 0.08 | 14% | 16 Aug → | ||
| 13–8 | 0.07 | 12% | 16 Aug → | ||
| 2–13 | 0.00 | 0% | 15 Aug → | ||
| 10–13 | 0.08 | 16% | 15 Aug → | ||
| 5–13 | 0.12 | 21% | 15 Aug → | ||
| 7–13 | 0.10 | 13% | 15 Aug → | ||
| 8–13 | 0.11 | 16% | 14 Aug → | ||
| 12–12 | 0.18 | 15% | 14 Aug → | ||
| office | 13–10 | 0.06 | 10% | 14 Aug → | |
| 13–9 | 0.20 | 14% | 14 Aug → | ||
| 7–13 | 0.04 | 16% | 14 Aug → | ||
| 2–13 | -0.06 | 11% | 14 Aug → | ||
| 7–13 | 0.04 | 12% | 13 Aug → | ||
| 12–12 | 0.15 | 13% | 13 Aug → | ||
| 3–13 | 0.04 | 17% | 13 Aug → | ||
| 9–13 | 0.14 | 12% | 13 Aug → | ||
| 5–13 | 0.08 | 21% | 13 Aug → | ||
| 1–13 | -0.04 | 19% | 13 Aug → | ||
| 13–6 | 0.05 | 9% | 10 Aug → | ||
| 8–13 | 0.06 | 13% | 10 Aug → | ||
| 13–11 | 0.10 | 12% | 10 Aug → | ||
| 12–12 | 0.08 | 14% | 10 Aug → | ||
| 6–13 | -0.04 | 16% | 6 Aug → | ||
| 13–9 | -0.03 | 14% | 6 Aug → | ||
| 10–13 | -0.01 | 12% | 5 Aug → | ||
| 8–13 | 0.01 | 14% | 5 Aug → | ||
| 4–13 | -0.04 | 12% | 5 Aug → | ||
| 13–4 | 0.03 | 9% | 5 Aug → | ||
| 12–12 | -0.00 | 17% | 5 Jul → | ||
| 11–13 | -0.04 | 11% | 5 Jul → | ||
| 13–8 | 0.01 | 9% | 14 Jun → | ||
| 10–13 | 0.02 | 15% | 14 Jun → | ||
| 4–13 | -0.07 | 7% | 8 Jun → | ||
| 8–13 | -0.05 | 20% | 8 Jun → | ||
| 8–13 | 0.03 | 26% | 5 Apr → | ||
| 13–7 | -0.02 | 11% | 5 Apr → | ||
| 4–13 | 0.01 | 13% | 5 Apr → | ||
| 13–11 | 0.03 | 10% | 4 Apr → | ||
| 13–9 | -0.02 | 15% | 4 Apr → | ||
| 13–1 | 0.02 | 14% | 19 Mar → | ||
| 13–7 | -0.02 | 11% | 14 Mar → | ||
| 14–16 | -0.07 | 9% | 23 Dec → | ||
| 13–6 | -0.00 | 21% | 22 Dec → | ||
| 16–14 | 0.02 | 16% | 22 Dec → | ||
| 13–10 | -0.06 | 17% | 22 Dec → | ||
| 3–13 | -0.06 | 10% | 22 Dec → | ||
| 10–13 | 0.06 | 16% | 22 Dec → | ||
| 4–13 | -0.02 | 25% | 22 Dec → | ||
| 13–10 | 0.04 | 18% | 22 Dec → | ||
| 13–7 | 0.06 | 16% | 22 Dec → | ||
| 13–11 | -0.04 | 14% | 22 Dec → | ||
| 8–13 | -0.03 | 19% | 22 Dec → | ||
| 13–9 | 0.09 | 17% | 22 Dec → | ||
| 13–8 | 0.03 | 11% | 22 Dec → | ||
| 1–7 | 0.09 | 43% | 21 Dec → | ||
| 9–13 | -0.04 | 12% | 19 Dec → | ||
| 13–8 | -0.01 | 11% | 19 Dec → | ||
| 13–0 | 0.02 | 29% | 18 Dec → | ||
| 13–8 | 0.06 | 17% | 18 Dec → | ||
| 4–13 | -0.07 | 21% | 18 Dec → | ||
| 9–13 | -0.07 | 8% | 17 Dec → | ||
| 13–10 | -0.04 | 8% | 17 Dec → | ||
| 8–13 | -0.04 | 11% | 16 Dec → | ||
| 13–8 | -0.01 | 24% | 16 Dec → | ||
| 2–13 | -0.04 | 19% | 16 Dec → | ||
| 13–7 | -0.04 | 19% | 16 Dec → | ||
| 12–16 | 0.00 | 16% | 16 Dec → | ||
| 13–8 | 0.11 | 19% | 16 Dec → | ||
| 2–13 | -0.00 | 20% | 16 Dec → | ||
| 7–13 | -0.05 | 12% | 16 Dec → | ||
| 4–13 | 0.00 | 11% | 15 Dec → | ||
| 6–13 | -0.04 | 20% | 15 Dec → | ||
| 13–10 | 0.02 | 19% | 15 Dec → | ||
| 6–13 | -0.11 | 12% | 15 Dec → | ||
| 13–4 | 0.00 | 7% | 14 Dec → | ||
| 13–11 | -0.02 | 12% | 14 Dec → | ||
| 8–13 | -0.01 | 21% | 14 Dec → | ||
| 6–13 | -0.09 | 10% | 14 Dec → | ||
| 12–12 | 0.07 | 12% | 14 Dec → | ||
| 4–13 | 0.14 | 16% | 14 Dec → | ||
| 12–12 | 0.05 | 17% | 14 Dec → | ||
| 13–10 | 0.07 | 16% | 13 Dec → | ||
| 6–13 | -0.06 | 14% | 13 Dec → | ||
| 12–12 | 0.09 | 16% | 13 Dec → | ||
| 5–13 | 0.00 | 10% | 13 Dec → | ||
| 0–10 | -0.10 | 0% | 13 Dec → | ||
| 8–13 | -0.05 | 14% | 13 Dec → | ||
| 6–13 | -0.00 | 19% | 13 Dec → | ||
| 0–3 | -0.19 | 0% | 13 Dec → | ||
| 3–13 | -0.01 | 12% | 7 Dec → |
Match data via Leetify.