DAD<MOM — CS2 Stats
US76561198088716265[U:1:128450537]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.04 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 78% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower positioning profile; 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 39% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 650ms 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 4.3/10 (Developing), 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 |
|---|---|---|---|---|---|
| B | 27 | 13–14 | 48% | -0.01 | |
| B | 23 | 12–11 | 52% | 0.01 | |
| B | 13 | 7–6 | 54% | -0.02 | |
| D | 12 | 4–8 | 33% | -0.02 | |
| S | 8 | 6–2 | 75% | -0.00 | |
| D | 6 | 1–5 | 17% | -0.02 | |
| D | 6 | 2–4 | 33% | -0.02 | |
| — | 4 | 3–1 | 75% | -0.02 | |
| — | 1 | 1–0 | 100% | -0.05 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 317 | 45% | 0.91 | 15.5 |
| Dust2 | 224 | 55% | 0.99 | 16.4 |
| Anubis | 180 | 46% | 0.87 | 15.8 |
| Ancient | 180 | 51% | 0.97 | 16.7 |
| Nuke | 162 | 54% | 0.99 | 16.7 |
| Inferno | 109 | 41% | 0.79 | 13.6 |
| Vertigo | 104 | 50% | 0.97 | 16.5 |
| Train | 24 | 42% | 1.08 | 18.4 |
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 13.4249° — above the 12° 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 10.3738% — 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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | 0.00 | 10% | 23 Aug → | ||
| 13–10 | 0.03 | 13% | 19 Aug → | ||
| 13–6 | 0.02 | 12% | 19 Aug → | ||
| 6–13 | -0.01 | 6% | 19 Aug → | ||
| 11–13 | 0.04 | 8% | 19 Aug → | ||
| 13–7 | -0.04 | 10% | 18 Aug → | ||
| 13–10 | 0.06 | 14% | 18 Aug → | ||
| 13–8 | 0.00 | 14% | 16 Aug → | ||
| 5–13 | -0.02 | 14% | 16 Aug → | ||
| 8–13 | -0.05 | 13% | 16 Aug → | ||
| 3–13 | -0.09 | 13% | 16 Aug → | ||
| 13–3 | -0.05 | 12% | 16 Aug → | ||
| 13–8 | -0.02 | 6% | 16 Aug → | ||
| 13–2 | -0.06 | 12% | 15 Aug → | ||
| 11–13 | -0.01 | 15% | 15 Aug → | ||
| 4–13 | -0.09 | 9% | 14 Aug → | ||
| 5–13 | 0.02 | 14% | 12 Aug → | ||
| 13–6 | -0.05 | 18% | 12 Aug → | ||
| 9–13 | 0.01 | 9% | 10 Aug → | ||
| 13–8 | -0.05 | 5% | 4 Aug → | ||
| 16–12 | 0.04 | 12% | 3 Aug → | ||
| 8–13 | -0.03 | 6% | 3 Aug → | ||
| 13–5 | 0.01 | 12% | 3 Aug → | ||
| 13–3 | 0.17 | 17% | 2 Aug → | ||
| 13–6 | -0.04 | 3% | 2 Aug → | ||
| 16–14 | -0.04 | 4% | 2 Aug → | ||
| 7–13 | -0.08 | 6% | 2 Aug → | ||
| 13–16 | -0.07 | 11% | 2 Aug → | ||
| 13–6 | -0.08 | 5% | 2 Aug → | ||
| 13–8 | 0.05 | 12% | 2 Aug → | ||
| 13–11 | 0.02 | 13% | 2 Aug → | ||
| 7–13 | -0.06 | 13% | 30 Jul → | ||
| 7–13 | 0.01 | 20% | 29 Jul → | ||
| 9–13 | -0.03 | 13% | 26 Jul → | ||
| 5–13 | -0.05 | 10% | 26 Jul → | ||
| 8–13 | 0.01 | 6% | 26 Jul → | ||
| 9–13 | 0.04 | 12% | 25 Jul → | ||
| 2–13 | -0.07 | 16% | 25 Jul → | ||
| 13–6 | -0.01 | 6% | 25 Jul → | ||
| 10–13 | -0.01 | 16% | 19 Jul → | ||
| 13–6 | 0.04 | 4% | 10 Jul → | ||
| 2–13 | -0.09 | 0% | 10 Jul → | ||
| 15–15 | -0.03 | 11% | 10 Jul → | ||
| 7–13 | -0.02 | 14% | 6 Jul → | ||
| 13–8 | 0.01 | 6% | 5 Jul → | ||
| 16–12 | 0.01 | 16% | 5 Jul → | ||
| 10–13 | -0.03 | 17% | 5 Jul → | ||
| 13–3 | 0.00 | 50% | 5 Jul → | ||
| 13–7 | -0.08 | 17% | 5 Jul → | ||
| 13–7 | 0.00 | 13% | 5 Jul → | ||
| 11–13 | 0.03 | 14% | 5 Jul → | ||
| 13–11 | 0.01 | 11% | 4 Jul → | ||
| 13–8 | -0.04 | 9% | 4 Jul → | ||
| 13–11 | -0.06 | 7% | 4 Jul → | ||
| 13–10 | -0.09 | 7% | 4 Jul → | ||
| 13–7 | 0.06 | 11% | 4 Jul → | ||
| 13–5 | 0.03 | 11% | 2 Jul → | ||
| 2–13 | -0.09 | 15% | 2 Jul → | ||
| 13–11 | -0.02 | 24% | 2 Jul → | ||
| 13–4 | 0.01 | 12% | 2 Jul → | ||
| 13–8 | -0.01 | 5% | 29 Jun → | ||
| 13–7 | 0.08 | 10% | 29 Jun → | ||
| 13–9 | 0.04 | 16% | 28 Jun → | ||
| 10–13 | 0.04 | 21% | 27 Jun → | ||
| 5–13 | 0.01 | 12% | 27 Jun → | ||
| 13–6 | 0.05 | 27% | 27 Jun → | ||
| 13–7 | 0.03 | 17% | 27 Jun → | ||
| 11–13 | 0.06 | 12% | 27 Jun → | ||
| 13–16 | 0.03 | 7% | 16 Jun → | ||
| 15–19 | 0.02 | 15% | 14 Jun → | ||
| 5–13 | -0.03 | 7% | 31 May → | ||
| 13–5 | -0.02 | 11% | 31 May → | ||
| 13–3 | 0.04 | 7% | 28 May → | ||
| 13–6 | -0.05 | 9% | 28 May → | ||
| 7–13 | 0.05 | 10% | 28 May → | ||
| 13–10 | 0.04 | 11% | 27 May → | ||
| 8–13 | -0.05 | 11% | 27 May → | ||
| 2–13 | -0.08 | 13% | 27 May → | ||
| 13–9 | 0.01 | 13% | 26 May → | ||
| 13–9 | 0.03 | 10% | 26 May → | ||
| 10–13 | -0.03 | 8% | 25 May → | ||
| 7–13 | 0.03 | 7% | 25 May → | ||
| 9–13 | -0.02 | 14% | 24 May → | ||
| 3–13 | -0.06 | 13% | 24 May → | ||
| 8–13 | 0.00 | 20% | 24 May → | ||
| 13–11 | -0.05 | 12% | 23 May → | ||
| 13–7 | 0.04 | 12% | 22 May → | ||
| 2–13 | -0.06 | 6% | 18 May → | ||
| 13–10 | -0.02 | 23% | 10 May → | ||
| 3–13 | -0.05 | 13% | 5 May → | ||
| 13–6 | 0.12 | 11% | 27 Apr → | ||
| 4–13 | -0.04 | 9% | 25 Apr → | ||
| 8–13 | 0.03 | 12% | 18 Apr → | ||
| 8–13 | -0.03 | 5% | 13 Apr → | ||
| 2–13 | 0.01 | 15% | 11 Apr → | ||
| 1–13 | -0.07 | 14% | 6 Apr → | ||
| 8–13 | 0.00 | 13% | 6 Apr → | ||
| 13–11 | 0.02 | 14% | 4 Apr → | ||
| 9–13 | -0.01 | 16% | 3 Apr → | ||
| 7–13 | -0.02 | 15% | 3 Apr → |
Match data via Leetify.