MdMa™ — CS2 Stats
76561197962708633[U:1:2442905]
How this compares with the same rank
Median values for Grey band among CSDB-tracked players (n=369), 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 | Grey band median | Light Blue band median | vs Light Blue band |
|---|---|---|---|---|
| Headshot rate | 36.7% | 37.5% | 39.7% | 3.0% short |
| Shot accuracy | 4.8% | 4.5% | 6.7% | 1.9% short |
| Kill/death ratio | 0.86 | 0.82 | 0.91 | 0.05 short |
| Match win rate | 45.7% | 39.1% | 42.1% | above |
This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Light Blue band 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: +20pp win rate · -0.02 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 62% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower opening-fight frequency; 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. 668ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 60% 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 2.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
| D | 32 | 10–22 | 31% | -0.04 | |
| D | 18 | 6–12 | 33% | -0.04 | |
| D | 15 | 5–10 | 33% | -0.03 | |
| D | 11 | 2–9 | 18% | -0.04 | |
| A | 11 | 6–5 | 55% | -0.03 | |
| C | 10 | 4–6 | 40% | -0.04 | |
| — | 3 | 2–1 | 67% | -0.02 |
Across the last 100 tracked matches.
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.
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 12.5145° — above the 12° mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 2–13 | -0.09 | 19% | 29 Aug → | ||
| 13–4 | -0.06 | 23% | 29 Aug → | ||
| 13–9 | -0.01 | 22% | 29 Aug → | ||
| 13–10 | 0.03 | 18% | 29 Aug → | ||
| 0–13 | -0.08 | 0% | 28 Aug → | ||
| 7–13 | -0.10 | 12% | 28 Aug → | ||
| 13–4 | -0.07 | 29% | 28 Aug → | ||
| 4–13 | -0.00 | 19% | 25 Aug → | ||
| 6–13 | -0.03 | 8% | 25 Aug → | ||
| 2–13 | -0.08 | 19% | 24 Aug → | ||
| 8–13 | -0.10 | 10% | 24 Aug → | ||
| 5–13 | -0.10 | 16% | 24 Aug → | ||
| 13–7 | -0.01 | 25% | 24 Aug → | ||
| 2–13 | 0.03 | 13% | 23 Aug → | ||
| 8–13 | -0.03 | 10% | 23 Aug → | ||
| 13–6 | 0.07 | 17% | 23 Aug → | ||
| 3–13 | 0.05 | 13% | 23 Aug → | ||
| 11–13 | -0.04 | 19% | 21 Aug → | ||
| 7–13 | -0.10 | 15% | 19 Aug → | ||
| 8–13 | -0.07 | 15% | 18 Aug → | ||
| 6–13 | -0.04 | 10% | 18 Aug → | ||
| 11–13 | -0.09 | 15% | 18 Aug → | ||
| 3–13 | -0.10 | 21% | 17 Aug → | ||
| 7–13 | -0.04 | 14% | 17 Aug → | ||
| 4–13 | -0.01 | 23% | 15 Aug → | ||
| 11–13 | 0.00 | 6% | 15 Aug → | ||
| 9–13 | -0.06 | 11% | 15 Aug → | ||
| 13–6 | -0.02 | 13% | 15 Aug → | ||
| 13–11 | 0.00 | 9% | 14 Aug → | ||
| 9–13 | -0.09 | 29% | 14 Aug → | ||
| 13–5 | -0.02 | 19% | 14 Aug → | ||
| 12–12 | -0.13 | 15% | 14 Aug → | ||
| 3–13 | -0.08 | 8% | 14 Aug → | ||
| 13–7 | -0.08 | 6% | 14 Aug → | ||
| 8–3 | 0.05 | 11% | 14 Aug → | ||
| 10–13 | -0.07 | 18% | 13 Aug → | ||
| 3–13 | -0.05 | 29% | 13 Aug → | ||
| 3–13 | -0.07 | 8% | 13 Aug → | ||
| 11–13 | -0.09 | 10% | 13 Aug → | ||
| 13–7 | -0.07 | 5% | 12 Aug → | ||
| 6–13 | -0.02 | 21% | 12 Aug → | ||
| 13–7 | -0.05 | 0% | 11 Aug → | ||
| 13–11 | 0.01 | 19% | 11 Aug → | ||
| 4–13 | -0.12 | 5% | 11 Aug → | ||
| 9–13 | 0.01 | 13% | 10 Aug → | ||
| 4–13 | -0.07 | 18% | 10 Aug → | ||
| 10–13 | -0.05 | 15% | 10 Aug → | ||
| 11–13 | -0.03 | 11% | 8 Aug → | ||
| 8–13 | -0.01 | 8% | 8 Aug → | ||
| 6–13 | -0.06 | 22% | 7 Aug → | ||
| 13–5 | -0.06 | 16% | 7 Aug → | ||
| 13–9 | 0.03 | 13% | 4 Aug → | ||
| 13–10 | -0.07 | 10% | 4 Aug → | ||
| 12–12 | -0.04 | 15% | 4 Aug → | ||
| 7–1 | 0.10 | 27% | 4 Aug → | ||
| 13–2 | 0.02 | 14% | 4 Aug → | ||
| 2–13 | -0.06 | 17% | 3 Aug → | ||
| 4–13 | -0.10 | 11% | 2 Aug → | ||
| 13–11 | -0.02 | 14% | 2 Aug → | ||
| 10–13 | -0.06 | 14% | 2 Aug → | ||
| 5–13 | 0.04 | 13% | 1 Aug → | ||
| 13–0 | 0.00 | 23% | 1 Aug → | ||
| 5–13 | 0.04 | 13% | 1 Aug → | ||
| 8–13 | -0.04 | 25% | 31 Jul → | ||
| 5–13 | -0.02 | 31% | 31 Jul → | ||
| 8–13 | 0.05 | 18% | 31 Jul → | ||
| 13–3 | -0.01 | 13% | 30 Jul → | ||
| 13–2 | -0.04 | 11% | 30 Jul → | ||
| 13–6 | -0.06 | 6% | 30 Jul → | ||
| 3–13 | -0.11 | 20% | 29 Jul → | ||
| 13–10 | -0.01 | 15% | 29 Jul → | ||
| 13–8 | 0.03 | 16% | 29 Jul → | ||
| 10–13 | -0.04 | 7% | 27 Jul → | ||
| 13–11 | -0.01 | 7% | 27 Jul → | ||
| 9–13 | -0.06 | 15% | 26 Jul → | ||
| 6–13 | -0.10 | 15% | 26 Jul → | ||
| 13–8 | -0.04 | 11% | 26 Jul → | ||
| 13–8 | -0.00 | 10% | 26 Jul → | ||
| 12–16 | 0.01 | 12% | 25 Jul → | ||
| 3–13 | -0.06 | 25% | 25 Jul → | ||
| 9–13 | 0.04 | 11% | 25 Jul → | ||
| 13–6 | -0.10 | 20% | 25 Jul → | ||
| 13–8 | -0.05 | 21% | 25 Jul → | ||
| 9–13 | -0.10 | 12% | 25 Jul → | ||
| 7–13 | 0.02 | 8% | 25 Jul → | ||
| 8–13 | -0.06 | 21% | 25 Jul → | ||
| 13–10 | -0.08 | 19% | 25 Jul → | ||
| 13–3 | 0.15 | 18% | 25 Jul → | ||
| 1–13 | -0.06 | 13% | 24 Jul → | ||
| 3–13 | 0.04 | 13% | 24 Jul → | ||
| 6–13 | -0.06 | 21% | 24 Jul → | ||
| 8–13 | 0.00 | 22% | 24 Jul → | ||
| 8–13 | -0.02 | 8% | 23 Jul → | ||
| 8–13 | 0.04 | 19% | 23 Jul → | ||
| 6–13 | -0.05 | 11% | 23 Jul → | ||
| 8–13 | -0.02 | 15% | 23 Jul → | ||
| 8–13 | -0.06 | 11% | 23 Jul → | ||
| 13–10 | -0.04 | 16% | 20 Jul → | ||
| 10–13 | -0.08 | 16% | 20 Jul → | ||
| 13–11 | -0.06 | 9% | 20 Jul → |
Match data via Leetify.