dadda — CS2 Stats
76561198408606110[U:1:448340382]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 92% playstyle similarity
Most alike: utility contribution, positioning profile.
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
Reaction time. 573ms 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 6.1/10 (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 | 40 | 18–22 | 45% | 0.02 | |
| S | 20 | 14–6 | 70% | 0.02 | |
| D | 14 | 4–10 | 29% | 0.00 | |
| C | 10 | 4–6 | 40% | 0.00 | |
| C | 9 | 4–5 | 44% | -0.01 | |
| — | 3 | 2–1 | 67% | 0.01 | |
| — | 2 | 0–2 | 0% | 0.02 | |
| — | 2 | 1–1 | 50% | -0.00 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 76 | 58% | 1.41 | 18.6 |
| Dust2 | 56 | 50% | 1.30 | 17.0 |
| Anubis | 31 | 42% | 1.19 | 17.6 |
| Ancient | 20 | 50% | 1.08 | 16.1 |
| Mirage | 12 | 50% | 0.92 | 14.9 |
| Nuke | 8 | 25% | 0.92 | 15.0 |
| Overpass | 5 | 20% | 0.97 | 16.0 |
| Vertigo | 5 | 20% | 1.04 | 14.6 |
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4619 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–1 | 0.07 | 16% | 28 Aug → | ||
| 16–14 | -0.01 | 10% | 27 Aug → | ||
| 11–13 | -0.02 | 13% | 26 Aug → | ||
| 9–13 | -0.02 | 12% | 26 Aug → | ||
| 13–7 | 0.03 | 23% | 25 Aug → | ||
| 8–13 | 0.02 | 31% | 25 Aug → | ||
| 16–14 | -0.00 | 21% | 23 Aug → | ||
| 13–2 | 0.03 | 18% | 23 Aug → | ||
| 13–10 | 0.04 | 22% | 23 Aug → | ||
| 8–13 | -0.06 | 15% | 21 Aug → | ||
| 11–13 | 0.03 | 19% | 21 Aug → | ||
| 16–13 | 0.01 | 11% | 17 Aug → | ||
| 13–2 | -0.02 | 21% | 17 Aug → | ||
| 13–5 | -0.02 | 8% | 17 Aug → | ||
| 14–16 | -0.03 | 18% | 17 Aug → | ||
| 6–13 | -0.01 | 14% | 14 Aug → | ||
| 10–13 | 0.01 | 17% | 14 Aug → | ||
| 7–13 | 0.00 | 13% | 13 Aug → | ||
| 7–13 | 0.08 | 21% | 11 Aug → | ||
| 10–13 | -0.01 | 15% | 11 Aug → | ||
| 11–13 | 0.06 | 16% | 8 Aug → | ||
| 13–10 | 0.05 | 24% | 8 Aug → | ||
| 3–13 | -0.07 | 19% | 7 Aug → | ||
| 13–10 | 0.02 | 14% | 7 Aug → | ||
| 9–13 | 0.06 | 15% | 2 Aug → | ||
| 6–13 | 0.06 | 22% | 1 Aug → | ||
| 7–13 | -0.07 | 29% | 26 Jul → | ||
| 13–2 | 0.01 | 17% | 26 Jul → | ||
| 5–13 | -0.02 | 20% | 26 Jul → | ||
| 0–13 | -0.03 | 20% | 26 Jul → | ||
| 15–15 | -0.00 | 13% | 25 Jul → | ||
| 15–15 | -0.01 | 11% | 25 Jul → | ||
| 3–13 | 0.01 | 14% | 25 Jul → | ||
| 13–10 | 0.03 | 12% | 25 Jul → | ||
| 13–2 | 0.09 | 16% | 20 Jul → | ||
| 13–11 | 0.01 | 20% | 20 Jul → | ||
| 10–13 | 0.07 | 28% | 20 Jul → | ||
| 6–13 | -0.08 | 25% | 20 Jul → | ||
| 13–10 | 0.04 | 20% | 20 Jul → | ||
| 5–13 | 0.06 | 25% | 16 Jul → | ||
| 13–11 | 0.11 | 27% | 16 Jul → | ||
| 4–13 | -0.03 | 27% | 16 Jul → | ||
| 11–13 | 0.08 | 16% | 12 Jul → | ||
| 10–13 | 0.04 | 35% | 11 Jul → | ||
| 13–11 | 0.03 | 20% | 11 Jul → | ||
| 7–13 | -0.01 | 14% | 4 Jul → | ||
| 9–13 | 0.05 | 11% | 27 Jun → | ||
| 10–13 | -0.03 | 16% | 27 Jun → | ||
| 9–13 | -0.03 | 10% | 25 Jun → | ||
| 13–9 | 0.07 | 21% | 25 Jun → | ||
| 16–13 | 0.09 | 22% | 25 Jun → | ||
| 8–13 | -0.02 | 24% | 21 Jun → | ||
| 13–7 | 0.05 | 14% | 21 Jun → | ||
| 10–13 | -0.01 | 14% | 21 Jun → | ||
| 6–13 | -0.03 | 10% | 17 Jun → | ||
| 13–11 | 0.00 | 17% | 17 Jun → | ||
| 2–13 | -0.06 | 23% | 17 Jun → | ||
| 7–13 | -0.03 | 36% | 12 Jun → | ||
| 13–5 | 0.05 | 18% | 20 May → | ||
| 5–13 | -0.07 | 2% | 17 May → | ||
| 9–13 | -0.00 | 20% | 17 May → | ||
| 16–19 | 0.01 | 18% | 15 May → | ||
| 13–7 | 0.12 | 11% | 15 May → | ||
| 16–14 | -0.03 | 21% | 15 May → | ||
| 16–12 | 0.02 | 14% | 4 May → | ||
| 4–13 | -0.06 | 28% | 4 May → | ||
| 13–2 | 0.02 | 21% | 29 Apr → | ||
| 13–11 | 0.05 | 26% | 29 Apr → | ||
| 9–13 | 0.04 | 15% | 27 Apr → | ||
| 13–11 | -0.00 | 13% | 27 Apr → | ||
| 7–13 | 0.01 | 23% | 26 Apr → | ||
| 13–6 | 0.03 | 14% | 26 Apr → | ||
| 13–9 | 0.03 | 18% | 24 Apr → | ||
| 12–16 | 0.01 | 24% | 24 Apr → | ||
| 13–11 | 0.01 | 24% | 21 Apr → | ||
| 13–5 | 0.07 | 24% | 21 Apr → | ||
| 8–13 | 0.06 | 20% | 21 Apr → | ||
| 10–13 | 0.02 | 21% | 21 Apr → | ||
| 13–7 | 0.04 | 13% | 20 Apr → | ||
| 10–13 | 0.00 | 18% | 20 Apr → | ||
| 10–13 | -0.01 | 17% | 20 Apr → | ||
| 13–11 | 0.01 | 23% | 18 Apr → | ||
| 13–4 | 0.06 | 27% | 18 Apr → | ||
| 16–14 | 0.04 | 15% | 18 Apr → | ||
| 16–13 | 0.06 | 14% | 15 Apr → | ||
| 14–16 | 0.05 | 24% | 15 Apr → | ||
| 16–14 | -0.02 | 19% | 26 Mar → | ||
| 13–6 | 0.05 | 18% | 26 Mar → | ||
| 13–7 | -0.03 | 11% | 23 Mar → | ||
| 13–3 | -0.02 | 16% | 23 Mar → | ||
| 13–6 | -0.02 | 23% | 23 Mar → | ||
| 13–6 | -0.01 | 11% | 23 Mar → | ||
| 4–13 | -0.02 | 28% | 21 Mar → | ||
| 13–4 | 0.05 | 33% | 21 Mar → | ||
| 13–7 | 0.03 | 18% | 20 Mar → | ||
| 15–15 | -0.00 | 25% | 18 Mar → | ||
| 10–13 | -0.02 | 15% | 18 Mar → | ||
| 7–13 | -0.05 | 43% | 16 Mar → | ||
| 11–13 | -0.01 | 21% | 15 Mar → | ||
| 13–5 | 0.02 | 18% | 6 Mar → |
Match data via Leetify.
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