Lets eat Grandma — CS2 Stats
76561198098609869[U:1:138344141]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.03 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 s1mple 88% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower aim profile; 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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 612ms 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 7.2/10 (Strong), 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 |
|---|---|---|---|---|---|
 cache | B | 33 | 15–18 | 45% | 0.02 |
 mirage | A | 17 | 10–7 | 59% | 0.01 |
 ancient | A | 13 | 8–5 | 62% | 0.02 |
 anubis | A | 10 | 6–4 | 60% | -0.00 |
 dust2 | A | 7 | 4–3 | 57% | 0.01 |
 nuke | D | 7 | 2–5 | 29% | -0.00 |
 inferno | B | 6 | 3–3 | 50% | 0.02 |
 overpass | A | 5 | 3–2 | 60% | 0.01 |
 train | — | 2 | 0–2 | 0% | 0.00 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 18 | 61% | 1.36 | 18.2 |
| Mirage | 14 | 36% | 1.07 | 17.1 |
| Vertigo | 11 | 64% | 0.97 | 17.0 |
| Overpass | 10 | 80% | 1.12 | 18.7 |
| Nuke | 3 | 67% | 1.15 | 17.7 |
| Ancient | 3 | 33% | 0.59 | 14.3 |
| Inferno | 1 | 0% | 1.07 | 16.0 |
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.
- 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 0.4749 — 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 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| anubis | 0–13 | -0.14 | 17% | 25 Aug → | |
| dust2 | 13–10 | 0.06 | 21% | 24 Aug → | |
| cache | 11–13 | -0.00 | 19% | 23 Aug → | |
| cache | 13–4 | 0.19 | 26% | 22 Aug → | |
| cache | 8–13 | -0.01 | 25% | 22 Aug → | |
| ancient | 13–10 | 0.09 | 19% | 22 Aug → | |
| dust2 | 15–15 | -0.01 | 31% | 22 Aug → | |
| nuke | 9–13 | -0.00 | 28% | 21 Aug → | |
| mirage | 13–4 | -0.01 | 22% | 20 Aug → | |
| mirage | 8–2 | 0.04 | 32% | 20 Aug → | |
| ancient | 13–11 | -0.01 | 21% | 20 Aug → | |
| nuke | 6–13 | 0.03 | 38% | 20 Aug → | |
| anubis | 13–10 | 0.03 | 25% | 18 Aug → | |
| ancient | 13–10 | 0.04 | 22% | 18 Aug → | |
| ancient | 13–6 | 0.14 | 23% | 16 Aug → | |
| nuke | 13–5 | 0.08 | 30% | 16 Aug → | |
| dust2 | 13–8 | -0.01 | 17% | 15 Aug → | |
| cache | 13–4 | 0.10 | 21% | 15 Aug → | |
| ancient | 13–0 | 0.10 | 27% | 15 Aug → | |
| anubis | 13–4 | 0.03 | 18% | 15 Aug → | |
| cache | 13–8 | 0.05 | 23% | 14 Aug → | |
| mirage | 13–6 | 0.05 | 24% | 14 Aug → | |
| dust2 | 6–13 | 0.10 | 23% | 14 Aug → | |
| cache | 10–13 | 0.02 | 30% | 14 Aug → | |
| inferno | 16–13 | 0.08 | 23% | 12 Aug → | |
| cache | 9–13 | -0.02 | 18% | 8 Aug → | |
| inferno | 13–6 | 0.04 | 16% | 8 Aug → | |
| dust2 | 13–7 | -0.02 | 23% | 31 Jul → | |
| cache | 11–13 | 0.03 | 16% | 31 Jul → | |
| nuke | 8–13 | 0.01 | 19% | 31 Jul → | |
| nuke | 11–13 | -0.05 | 43% | 30 Jul → | |
| dust2 | 13–10 | 0.02 | 19% | 30 Jul → | |
| mirage | 10–13 | -0.01 | 31% | 23 Jul → | |
| ancient | 8–13 | 0.02 | 20% | 23 Jul → | |
| mirage | 16–14 | 0.06 | 23% | 23 Jul → | |
| mirage | 4–13 | -0.06 | 24% | 14 Jul → | |
| cache | 13–8 | 0.05 | 21% | 12 Jul → | |
| ancient | 6–13 | -0.03 | 18% | 12 Jul → | |
| mirage | 13–6 | 0.01 | 13% | 12 Jul → | |
| cache | 13–6 | 0.00 | 23% | 12 Jul → | |
| cache | 5–13 | 0.07 | 23% | 11 Jul → | |
| mirage | 12–16 | -0.02 | 22% | 11 Jul → | |
| cache | 13–9 | -0.01 | 19% | 9 Jul → | |
| cache | 5–13 | -0.02 | 17% | 8 Jul → | |
| cache | 10–13 | -0.08 | 12% | 27 Jun → | |
| mirage | 13–11 | 0.06 | 34% | 27 Jun → | |
| cache | 13–8 | 0.09 | 31% | 27 Jun → | |
| cache | 7–13 | -0.02 | 15% | 26 Jun → | |
| train | 12–12 | 0.02 | 30% | 26 Jun → | |
| mirage | 5–13 | 0.03 | 13% | 24 Jun → | |
| cache | 13–6 | 0.02 | 11% | 23 Jun → | |
| cache | 7–13 | -0.03 | 40% | 23 Jun → | |
| cache | 6–13 | -0.06 | 12% | 14 Jun → | |
| cache | 13–10 | -0.00 | 25% | 14 Jun → | |
| mirage | 13–7 | 0.03 | 27% | 7 Jun → | |
| mirage | 9–13 | 0.02 | 14% | 6 Jun → | |
| cache | 5–13 | -0.03 | 11% | 6 Jun → | |
| nuke | 6–13 | -0.05 | 24% | 5 Jun → | |
| cache | 13–10 | 0.01 | 11% | 5 Jun → | |
| cache | 13–6 | 0.07 | 38% | 5 Jun → | |
| cache | 13–5 | 0.02 | 15% | 5 Jun → | |
| overpass | 13–8 | -0.02 | 15% | 23 May → | |
| cache | 12–12 | 0.06 | 30% | 22 May → | |
| cache | 13–8 | 0.02 | 23% | 22 May → | |
| cache | 7–13 | 0.01 | 15% | 22 May → | |
| cache | 9–13 | 0.07 | 24% | 19 May → | |
| cache | 13–10 | 0.04 | 20% | 18 May → | |
| anubis | 13–7 | 0.08 | 26% | 16 May → | |
| cache | 9–13 | -0.05 | 21% | 16 May → | |
| cache | 7–13 | 0.07 | 23% | 13 May → | |
| cache | 13–3 | 0.07 | 40% | 13 May → | |
| ancient | 13–9 | 0.02 | 18% | 3 May → | |
| cache | 12–12 | -0.00 | 25% | 3 May → | |
| anubis | 7–13 | -0.01 | 24% | 20 Apr → | |
| inferno | 8–13 | -0.01 | 23% | 8 Apr → | |
| anubis | 13–7 | 0.05 | 19% | 5 Apr → | |
| overpass | 13–9 | 0.02 | 11% | 4 Apr → | |
| mirage | 13–11 | -0.06 | 25% | 4 Apr → | |
| mirage | 13–6 | -0.01 | 18% | 3 Apr → | |
| ancient | 11–13 | -0.03 | 12% | 3 Apr → | |
| train | 11–13 | -0.01 | 26% | 3 Apr → | |
| ancient | 13–7 | -0.02 | 17% | 29 Mar → | |
| inferno | 13–7 | 0.03 | 20% | 29 Mar → | |
| ancient | 7–13 | -0.06 | 13% | 29 Mar → | |
| anubis | 13–2 | -0.00 | 37% | 29 Mar → | |
| mirage | 13–4 | 0.01 | 25% | 28 Mar → | |
| overpass | 13–4 | 0.04 | 31% | 27 Mar → | |
| ancient | 6–13 | -0.02 | 17% | 27 Mar → | |
| anubis | 8–13 | -0.07 | 19% | 23 Mar → | |
| mirage | 15–15 | -0.03 | 26% | 20 Mar → | |
| overpass | 9–13 | -0.03 | 14% | 15 Mar → | |
| ancient | 13–8 | -0.02 | 20% | 15 Mar → | |
| anubis | 13–8 | -0.03 | 15% | 15 Mar → | |
| inferno | 11–13 | -0.00 | 12% | 15 Mar → | |
| anubis | 6–13 | 0.01 | 11% | 15 Mar → | |
| inferno | 5–13 | -0.01 | 24% | 15 Mar → | |
| overpass | 11–13 | 0.04 | 15% | 15 Mar → | |
| dust2 | 1–13 | -0.05 | 43% | 15 Mar → | |
| nuke | 13–10 | -0.03 | 14% | 15 Mar → | |
| mirage | 3–13 | -0.02 | 19% | 15 Mar → |
Match data via Leetify.