𓆉MaMMaSkiLPad𓆉 — CS2 Stats
76561198826708539[U:1:866442811]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.03 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 69% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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
Strengths
Flashes. 0.76 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 808ms 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 3.2/10 (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 |
|---|---|---|---|---|---|
| B | 35 | 17–18 | 49% | -0.01 | |
| C | 28 | 11–17 | 39% | -0.00 | |
| C | 17 | 7–10 | 41% | -0.04 | |
| S | 6 | 4–2 | 67% | -0.02 | |
| D | 6 | 1–5 | 17% | -0.02 | |
| — | 3 | 2–1 | 67% | 0.04 | |
| — | 3 | 0–3 | 0% | -0.03 | |
| — | 2 | 1–1 | 50% | -0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (17% over 6). 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.
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.
- 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 12.659% — below the 15% mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 808.3371ms — above the 700ms mark we flag
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.0032 — below the 4 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 | |
|---|---|---|---|---|---|
| 13–9 | -0.01 | 16% | 20 Aug → | ||
| 10–13 | 0.01 | 11% | 20 Aug → | ||
| 13–5 | 0.04 | 11% | 19 Aug → | ||
| 10–13 | -0.07 | 13% | 18 Aug → | ||
| 13–4 | 0.06 | 5% | 15 Aug → | ||
| 16–13 | -0.02 | 19% | 13 Aug → | ||
| 13–2 | -0.02 | 12% | 13 Aug → | ||
| 13–6 | 0.04 | 18% | 12 Aug → | ||
| 13–10 | -0.01 | 12% | 12 Aug → | ||
| 13–1 | 0.03 | 19% | 11 Aug → | ||
| 13–3 | 0.10 | 7% | 11 Aug → | ||
| 8–13 | -0.06 | 4% | 11 Aug → | ||
| 16–12 | -0.06 | 8% | 10 Aug → | ||
| 5–13 | -0.02 | 7% | 10 Aug → | ||
| 13–8 | -0.01 | 14% | 10 Aug → | ||
| 16–12 | 0.05 | 5% | 9 Aug → | ||
| 4–13 | -0.10 | 7% | 7 Aug → | ||
| 11–13 | -0.06 | 10% | 23 Jul → | ||
| 13–11 | -0.10 | 30% | 22 Jul → | ||
| 13–11 | 0.02 | 12% | 15 Jul → | ||
| 9–13 | 0.04 | 11% | 15 Jul → | ||
| 8–13 | -0.05 | 10% | 12 Jul → | ||
| 8–13 | 0.03 | 11% | 12 Jul → | ||
| 13–8 | -0.00 | 20% | 11 Jul → | ||
| 11–13 | -0.05 | 20% | 11 Jul → | ||
| 5–13 | -0.06 | 10% | 10 Jul → | ||
| 10–13 | -0.01 | 9% | 10 Jul → | ||
| 13–3 | 0.03 | 8% | 10 Jul → | ||
| 13–1 | 0.07 | 9% | 10 Jul → | ||
| 9–13 | 0.00 | 20% | 10 Jul → | ||
| 13–9 | 0.07 | 16% | 10 Jul → | ||
| 4–13 | -0.02 | 24% | 8 Jul → | ||
| 2–13 | -0.03 | 8% | 8 Jul → | ||
| 13–16 | 0.05 | 9% | 1 Jul → | ||
| 13–6 | -0.05 | 15% | 1 Jul → | ||
| 13–2 | 0.05 | 4% | 1 Jul → | ||
| 13–8 | 0.04 | 13% | 30 Jun → | ||
| 10–13 | 0.01 | 16% | 29 Jun → | ||
| 13–6 | -0.03 | 11% | 29 Jun → | ||
| 9–13 | -0.03 | 10% | 29 Jun → | ||
| 10–13 | -0.07 | 19% | 25 Jun → | ||
| 8–13 | -0.11 | 14% | 25 Jun → | ||
| 13–4 | -0.02 | 5% | 18 Jun → | ||
| 16–14 | 0.06 | 8% | 18 Jun → | ||
| 13–11 | -0.01 | 22% | 10 Jun → | ||
| 9–13 | 0.03 | 19% | 10 Jun → | ||
| 5–13 | -0.12 | 13% | 6 Jun → | ||
| 13–8 | -0.04 | 19% | 4 Jun → | ||
| 2–13 | -0.11 | 21% | 3 Jun → | ||
| 13–9 | -0.05 | 14% | 3 Jun → | ||
| 16–13 | 0.00 | 12% | 3 Jun → | ||
| 13–0 | 0.12 | 31% | 30 May → | ||
| 13–9 | 0.01 | 13% | 23 May → | ||
| 10–13 | 0.05 | 13% | 23 May → | ||
| 2–13 | -0.12 | 10% | 23 May → | ||
| 7–13 | -0.05 | 7% | 23 May → | ||
| 15–15 | -0.03 | 16% | 21 May → | ||
| 13–8 | 0.01 | 13% | 21 May → | ||
| 9–13 | -0.04 | 10% | 21 May → | ||
| 13–10 | 0.03 | 32% | 18 May → | ||
| 11–13 | -0.01 | 19% | 18 May → | ||
| 6–13 | -0.06 | 5% | 17 May → | ||
| 13–3 | 0.18 | 21% | 17 May → | ||
| 6–13 | 0.01 | 18% | 16 May → | ||
| 4–13 | -0.02 | 14% | 12 May → | ||
| 12–12 | 0.01 | 11% | 12 May → | ||
| 4–13 | -0.05 | 19% | 11 May → | ||
| 14–16 | -0.02 | 15% | 10 May → | ||
| 8–13 | -0.01 | 9% | 10 May → | ||
| 8–13 | -0.02 | 21% | 10 May → | ||
| 8–13 | 0.03 | 15% | 10 May → | ||
| 13–11 | -0.06 | 9% | 10 May → | ||
| 13–8 | 0.08 | 20% | 10 May → | ||
| 3–13 | -0.08 | 6% | 10 May → | ||
| 7–13 | -0.08 | 14% | 9 May → | ||
| 8–13 | 0.01 | 16% | 9 May → | ||
| 8–13 | -0.02 | 24% | 9 May → | ||
| 5–13 | -0.04 | 13% | 9 May → | ||
| 13–5 | -0.11 | 3% | 9 May → | ||
| 11–13 | -0.08 | 15% | 9 May → | ||
| 13–10 | -0.03 | 12% | 9 May → | ||
| 10–13 | -0.02 | 14% | 9 May → | ||
| 1–13 | -0.07 | 8% | 8 May → | ||
| 9–13 | -0.04 | 7% | 8 May → | ||
| 8–13 | -0.05 | 16% | 7 May → | ||
| 3–13 | -0.05 | 6% | 7 May → | ||
| 11–13 | 0.04 | 15% | 7 May → | ||
| 7–13 | -0.04 | 10% | 5 May → | ||
| 4–13 | -0.02 | 8% | 5 May → | ||
| 6–13 | 0.03 | 8% | 5 May → | ||
| 13–9 | -0.03 | 11% | 5 May → | ||
| 13–5 | -0.04 | 17% | 4 May → | ||
| 15–15 | -0.02 | 15% | 4 May → | ||
| 15–15 | -0.01 | 15% | 3 May → | ||
| 13–3 | 0.05 | 18% | 3 May → | ||
| 8–13 | -0.02 | 15% | 2 May → | ||
| 7–13 | -0.07 | 7% | 2 May → | ||
| 13–3 | 0.10 | 16% | 2 May → | ||
| 13–9 | 0.08 | 10% | 2 May → | ||
| 13–7 | -0.03 | 13% | 29 Apr → |
Match data via Leetify.