dadkma — CS2 Stats
76561199111998923[U:1:1151733195]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -50pp win rate · -0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent counter-strafing
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 Twistzz 92% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: lower utility contribution.
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. 586ms 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 6.9/10 (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 | 15 | 8–7 | 53% | 0.03 | |
| S | 15 | 12–3 | 80% | 0.03 | |
| D | 12 | 4–8 | 33% | 0.02 | |
| B | 11 | 5–6 | 45% | -0.00 | |
| S | 7 | 5–2 | 71% | 0.04 | |
| B | 6 | 3–3 | 50% | 0.01 | |
| alpine | B | 6 | 3–3 | 50% | 0.09 |
| S | 6 | 4–2 | 67% | 0.05 | |
| — | 4 | 3–1 | 75% | 0.06 | |
| italy | — | 4 | 1–3 | 25% | 0.08 |
| stronghold | — | 3 | 3–0 | 100% | 0.10 |
| — | 3 | 2–1 | 67% | 0.06 | |
| office | — | 2 | 2–0 | 100% | 0.03 |
| warden | — | 2 | 2–0 | 100% | 0.11 |
| — | 2 | 1–1 | 50% | 0.07 | |
| debris | — | 1 | 0–1 | 0% | -0.12 |
| poseidon | — | 1 | 1–0 | 100% | -0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Nuke 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 resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 5 | 40% | 1.11 | 18.0 |
| Inferno | 5 | 60% | 1.02 | 16.4 |
| Ancient | 5 | 20% | 1.43 | 21.6 |
| Nuke | 3 | 100% | 0.76 | 10.3 |
| Dust2 | 2 | 50% | 1.18 | 15.0 |
| Cache | 1 | 0% | 1.19 | 19.0 |
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 36.8827% — 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.
33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–12 | 0.01 | 28% | 27 Jul → | ||
| 10–13 | 0.04 | 19% | 27 Jul → | ||
| 13–3 | -0.03 | 16% | 24 Jul → | ||
| 13–4 | 0.06 | 22% | 23 Jul → | ||
| debris | 3–9 | -0.12 | 21% | 23 Jul → | |
| 10–13 | 0.02 | 21% | 21 Jul → | ||
| 11–0 | -0.03 | 14% | 23 Jun → | ||
| 10–13 | 0.02 | 28% | 25 May → | ||
| 5–13 | -0.02 | 19% | 15 May → | ||
| 10–13 | 0.01 | 37% | 9 May → | ||
| alpine | 13–5 | 0.04 | 22% | 9 May → | |
| 13–7 | -0.00 | 51% | 9 May → | ||
| 13–5 | 0.04 | 35% | 7 May → | ||
| 11–13 | 0.04 | 36% | 5 May → | ||
| office | 13–6 | 0.06 | 38% | 5 May → | |
| 13–5 | 0.03 | 31% | 4 May → | ||
| 6–13 | 0.03 | 46% | 4 May → | ||
| warden | 13–7 | 0.15 | 41% | 3 May → | |
| 13–5 | 0.00 | 19% | 3 May → | ||
| 13–2 | 0.02 | 39% | 3 May → | ||
| italy | 13–9 | 0.14 | 27% | 2 May → | |
| italy | 9–13 | 0.10 | 23% | 2 May → | |
| 13–3 | 0.08 | 21% | 2 May → | ||
| alpine | 13–10 | 0.07 | 27% | 2 May → | |
| 13–2 | 0.10 | 33% | 1 May → | ||
| 13–11 | 0.03 | 22% | 1 May → | ||
| 13–7 | -0.03 | 19% | 1 May → | ||
| 11–13 | -0.02 | 21% | 30 Apr → | ||
| 6–13 | -0.01 | 31% | 29 Apr → | ||
| 13–6 | 0.04 | 21% | 29 Apr → | ||
| 13–3 | 0.03 | 31% | 29 Apr → | ||
| 13–11 | 0.07 | 35% | 28 Apr → | ||
| alpine | 12–12 | 0.13 | 31% | 28 Apr → | |
| 13–10 | -0.05 | 22% | 28 Apr → | ||
| 7–13 | -0.05 | 22% | 27 Apr → | ||
| 11–13 | -0.01 | 18% | 27 Apr → | ||
| 13–5 | 0.15 | 30% | 27 Apr → | ||
| stronghold | 13–5 | 0.11 | 27% | 27 Apr → | |
| italy | 11–13 | 0.07 | 34% | 27 Apr → | |
| 11–13 | -0.02 | 28% | 27 Apr → | ||
| 13–9 | -0.04 | 22% | 26 Apr → | ||
| 13–10 | -0.00 | 14% | 26 Apr → | ||
| 9–13 | -0.03 | 23% | 26 Apr → | ||
| 13–3 | 0.07 | 17% | 26 Apr → | ||
| 13–11 | -0.05 | 21% | 25 Apr → | ||
| 13–7 | -0.03 | 14% | 25 Apr → | ||
| 13–2 | 0.01 | 31% | 25 Apr → | ||
| 13–7 | 0.06 | 29% | 24 Apr → | ||
| 7–13 | -0.08 | 18% | 22 Apr → | ||
| 5–13 | -0.07 | 32% | 22 Apr → | ||
| poseidon | 9–6 | -0.02 | 41% | 22 Apr → | |
| alpine | 7–13 | 0.08 | 30% | 19 Apr → | |
| 10–13 | 0.06 | 34% | 19 Apr → | ||
| 13–0 | 0.17 | 20% | 19 Apr → | ||
| alpine | 11–13 | 0.04 | 21% | 19 Apr → | |
| 8–13 | 0.01 | 21% | 18 Apr → | ||
| 16–14 | 0.03 | 24% | 16 Apr → | ||
| italy | 2–13 | 0.01 | 20% | 15 Apr → | |
| 9–13 | 0.02 | 27% | 15 Apr → | ||
| warden | 13–11 | 0.08 | 27% | 14 Apr → | |
| 11–13 | 0.01 | 24% | 14 Apr → | ||
| 13–4 | 0.03 | 25% | 14 Apr → | ||
| 12–12 | 0.04 | 26% | 13 Apr → | ||
| 13–10 | 0.03 | 24% | 13 Apr → | ||
| 12–12 | 0.22 | 37% | 12 Apr → | ||
| alpine | 13–9 | 0.19 | 27% | 12 Apr → | |
| 8–5 | 0.06 | 27% | 12 Apr → | ||
| 2–13 | -0.02 | 18% | 11 Apr → | ||
| 13–10 | 0.05 | 21% | 11 Apr → | ||
| 13–1 | 0.03 | 26% | 11 Apr → | ||
| 5–13 | 0.05 | 31% | 10 Apr → | ||
| 5–13 | -0.06 | 39% | 9 Apr → | ||
| 13–8 | 0.03 | 26% | 6 Apr → | ||
| office | 13–11 | -0.01 | 39% | 6 Apr → | |
| 13–10 | 0.18 | 25% | 6 Apr → | ||
| 13–5 | 0.19 | 41% | 6 Apr → | ||
| 13–9 | 0.17 | 26% | 6 Apr → | ||
| 9–13 | 0.08 | 26% | 6 Apr → | ||
| 13–4 | 0.11 | 21% | 5 Apr → | ||
| 8–9 | 0.01 | 42% | 5 Apr → | ||
| 9–13 | 0.03 | 22% | 4 Apr → | ||
| 5–13 | -0.02 | 17% | 3 Apr → | ||
| 13–4 | 0.02 | 29% | 2 Apr → | ||
| 6–13 | -0.03 | 25% | 2 Apr → | ||
| 13–3 | 0.05 | 31% | 29 Mar → | ||
| stronghold | 10–3 | 0.02 | 22% | 29 Mar → | |
| 13–9 | -0.02 | 17% | 29 Mar → | ||
| 8–13 | 0.09 | 23% | 29 Mar → | ||
| 6–9 | -0.00 | 33% | 27 Mar → | ||
| 13–7 | -0.00 | 19% | 26 Mar → | ||
| 13–4 | 0.02 | 13% | 26 Mar → | ||
| 9–3 | 0.15 | 24% | 24 Mar → | ||
| 4–13 | 0.02 | 25% | 18 Mar → | ||
| 11–13 | -0.04 | 19% | 18 Mar → | ||
| 13–0 | -0.02 | 11% | 18 Mar → | ||
| 13–4 | 0.04 | 32% | 17 Mar → | ||
| stronghold | 13–9 | 0.16 | 27% | 13 Mar → | |
| 13–9 | 0.05 | 23% | 11 Mar → | ||
| 13–7 | 0.07 | 19% | 6 Mar → | ||
| 3–13 | -0.09 | 13% | 4 Mar → |
Match data via Leetify.