DrMaybee — CS2 Stats
CA76561197961279369[U:1:1013641]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.00 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 NiKo 83% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
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
T-side openings. Opening success drops from 41% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 565ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 66% 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 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 35 | 13–22 | 37% | -0.05 | |
| B | 21 | 10–11 | 48% | -0.04 | |
| C | 21 | 9–12 | 43% | -0.05 | |
| C | 9 | 4–5 | 44% | -0.03 | |
| D | 9 | 2–7 | 22% | -0.04 | |
| A | 5 | 3–2 | 60% | -0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 11 | 64% | 0.66 | 9.9 |
| Nuke | 10 | 50% | 0.85 | 13.3 |
| Anubis | 10 | 20% | 0.74 | 13.6 |
| Overpass | 5 | 60% | 0.82 | 11.2 |
| Ancient | 4 | 25% | 0.69 | 10.8 |
| Mirage | 1 | 0% | 0.53 | 10.0 |
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
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 25.3933% — 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.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–13 | -0.08 | 11% | 28 Aug → | ||
| 13–2 | -0.02 | 33% | 28 Aug → | ||
| 2–13 | -0.04 | 19% | 28 Aug → | ||
| 10–13 | -0.09 | 5% | 28 Aug → | ||
| 9–13 | -0.05 | 7% | 27 Aug → | ||
| 13–11 | -0.04 | 8% | 27 Aug → | ||
| 13–9 | -0.07 | 5% | 27 Aug → | ||
| 13–16 | 0.01 | 23% | 26 Aug → | ||
| 5–13 | -0.06 | 39% | 26 Aug → | ||
| 8–13 | 0.01 | 17% | 25 Aug → | ||
| 13–4 | -0.04 | 12% | 23 Aug → | ||
| 13–10 | -0.00 | 21% | 23 Aug → | ||
| 8–13 | -0.00 | 15% | 23 Aug → | ||
| 1–13 | -0.13 | 25% | 23 Aug → | ||
| 13–11 | -0.04 | 18% | 23 Aug → | ||
| 13–10 | -0.07 | 10% | 22 Aug → | ||
| 13–1 | -0.02 | 15% | 22 Aug → | ||
| 3–13 | -0.00 | 11% | 22 Aug → | ||
| 4–13 | -0.11 | 8% | 22 Aug → | ||
| 15–15 | -0.01 | 14% | 22 Aug → | ||
| 16–14 | -0.08 | 17% | 22 Aug → | ||
| 7–13 | -0.05 | 19% | 22 Aug → | ||
| 8–13 | -0.06 | 13% | 21 Aug → | ||
| 6–13 | 0.02 | 21% | 21 Aug → | ||
| 14–16 | -0.10 | 11% | 21 Aug → | ||
| 9–13 | -0.05 | 24% | 21 Aug → | ||
| 13–10 | -0.01 | 15% | 20 Aug → | ||
| 13–8 | 0.00 | 17% | 20 Aug → | ||
| 8–13 | -0.01 | 17% | 20 Aug → | ||
| 13–10 | -0.07 | 23% | 19 Aug → | ||
| 13–6 | 0.01 | 21% | 19 Aug → | ||
| 9–13 | -0.10 | 15% | 19 Aug → | ||
| 13–11 | -0.05 | 18% | 18 Aug → | ||
| 13–7 | -0.01 | 12% | 18 Aug → | ||
| 5–13 | -0.11 | 7% | 17 Aug → | ||
| 6–13 | -0.05 | 10% | 17 Aug → | ||
| 4–13 | -0.00 | 10% | 16 Aug → | ||
| 3–13 | -0.05 | 27% | 16 Aug → | ||
| 1–13 | -0.09 | 11% | 15 Aug → | ||
| 12–7 | -0.08 | 11% | 15 Aug → | ||
| 5–13 | -0.09 | 19% | 15 Aug → | ||
| 13–6 | 0.02 | 11% | 15 Aug → | ||
| 8–0 | 0.06 | 29% | 15 Aug → | ||
| 6–13 | -0.04 | 18% | 15 Aug → | ||
| 13–7 | -0.03 | 13% | 15 Aug → | ||
| 9–13 | 0.01 | 16% | 14 Aug → | ||
| 6–13 | -0.04 | 19% | 14 Aug → | ||
| 7–13 | -0.09 | 20% | 14 Aug → | ||
| 13–4 | 0.01 | 17% | 14 Aug → | ||
| 13–2 | -0.02 | 29% | 14 Aug → | ||
| 13–5 | -0.02 | 26% | 14 Aug → | ||
| 3–13 | -0.10 | 9% | 14 Aug → | ||
| 9–13 | -0.08 | 4% | 13 Aug → | ||
| 9–13 | -0.05 | 22% | 13 Aug → | ||
| 13–0 | 0.05 | 21% | 13 Aug → | ||
| 7–13 | -0.08 | 19% | 13 Aug → | ||
| 13–11 | -0.07 | 16% | 13 Aug → | ||
| 13–5 | -0.05 | 17% | 12 Aug → | ||
| 11–13 | -0.06 | 18% | 12 Aug → | ||
| 6–13 | -0.07 | 25% | 12 Aug → | ||
| 13–10 | -0.01 | 19% | 11 Aug → | ||
| 13–5 | -0.06 | 17% | 10 Aug → | ||
| 3–13 | -0.10 | 11% | 10 Aug → | ||
| 13–11 | -0.03 | 5% | 8 Aug → | ||
| 9–13 | -0.07 | 6% | 8 Aug → | ||
| 13–7 | -0.02 | 5% | 8 Aug → | ||
| 8–13 | -0.07 | 38% | 8 Aug → | ||
| 13–8 | -0.07 | 28% | 8 Aug → | ||
| 13–16 | -0.05 | 10% | 8 Aug → | ||
| 9–13 | -0.06 | 16% | 8 Aug → | ||
| 13–9 | -0.02 | 21% | 8 Aug → | ||
| 11–13 | -0.06 | 6% | 8 Aug → | ||
| 13–11 | -0.03 | 22% | 8 Aug → | ||
| 11–13 | -0.04 | 22% | 7 Aug → | ||
| 5–13 | -0.02 | 9% | 7 Aug → | ||
| 9–13 | -0.07 | 7% | 7 Aug → | ||
| 13–6 | -0.06 | 15% | 7 Aug → | ||
| 15–15 | -0.05 | 4% | 7 Aug → | ||
| 11–13 | -0.00 | 22% | 6 Aug → | ||
| 15–15 | -0.05 | 19% | 5 Aug → | ||
| 13–9 | -0.06 | 16% | 5 Aug → | ||
| 13–7 | -0.04 | 19% | 5 Aug → | ||
| 10–13 | -0.08 | 13% | 5 Aug → | ||
| 11–13 | -0.02 | 12% | 5 Aug → | ||
| 8–13 | -0.04 | 25% | 4 Aug → | ||
| 13–11 | 0.01 | 12% | 4 Aug → | ||
| 12–12 | -0.05 | 7% | 4 Aug → | ||
| 6–13 | -0.05 | 17% | 3 Aug → | ||
| 7–13 | -0.05 | 10% | 3 Aug → | ||
| 7–13 | -0.08 | 23% | 2 Aug → | ||
| 13–8 | 0.01 | 17% | 2 Aug → | ||
| 5–13 | -0.05 | 10% | 2 Aug → | ||
| 13–2 | -0.05 | 50% | 1 Aug → | ||
| 6–13 | -0.04 | 18% | 1 Aug → | ||
| 3–13 | -0.04 | 16% | 1 Aug → | ||
| 4–13 | -0.06 | 10% | 1 Aug → | ||
| 4–13 | -0.01 | 13% | 1 Aug → | ||
| 13–10 | -0.02 | 23% | 31 Jul → | ||
| 13–10 | -0.05 | 13% | 31 Jul → | ||
| 13–7 | -0.03 | 29% | 31 Jul → |
Match data via Leetify.
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