Nutter Butter eSports Player — CS2 Stats
76561198280817834[U:1:320552106]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp 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 76% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower utility contribution; 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 40% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 599ms 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 4.6/10 (Developing), 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 |
|---|---|---|---|---|---|
| A | 16 | 10–6 | 63% | 0.01 | |
| A | 13 | 8–5 | 62% | 0.00 | |
| S | 11 | 9–2 | 82% | 0.01 | |
| B | 10 | 5–5 | 50% | -0.00 | |
| D | 10 | 3–7 | 30% | -0.03 | |
| B | 8 | 4–4 | 50% | -0.00 | |
| A | 8 | 5–3 | 63% | 0.00 | |
| S | 7 | 6–1 | 86% | -0.01 | |
| S | 6 | 4–2 | 67% | 0.03 | |
| office | C | 5 | 2–3 | 40% | 0.05 |
| — | 4 | 1–3 | 25% | -0.02 | |
| italy | — | 1 | 1–0 | 100% | 0.04 |
| poseidon | — | 1 | 0–1 | 0% | -0.13 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno 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 11.7586% — below the 15% mark we flag
- 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 0.3442 — below the 0.5 mark we flag
- 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 21.9389% — 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.
30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 1–13 | -0.00 | 14% | 1 Aug → | ||
| office | 11–13 | -0.01 | 11% | 1 Aug → | |
| 13–5 | 0.06 | 10% | 1 Aug → | ||
| italy | 11–3 | 0.04 | 7% | 23 Jul → | |
| 13–8 | 0.01 | 19% | 23 Jul → | ||
| 12–12 | 0.05 | 8% | 22 Jul → | ||
| 13–5 | 0.07 | 13% | 19 Jul → | ||
| 13–5 | -0.01 | 8% | 19 Jul → | ||
| 13–10 | -0.08 | 7% | 19 Jul → | ||
| 13–7 | -0.03 | 9% | 16 Jul → | ||
| 7–13 | -0.04 | 15% | 16 Jul → | ||
| 6–13 | -0.04 | 5% | 14 Jul → | ||
| 13–11 | 0.05 | 8% | 14 Jul → | ||
| 10–13 | -0.03 | 17% | 14 Jul → | ||
| 13–2 | -0.05 | 11% | 14 Jul → | ||
| 12–12 | -0.00 | 14% | 14 Jul → | ||
| 11–13 | -0.07 | 15% | 12 Jul → | ||
| 13–7 | 0.01 | 7% | 12 Jul → | ||
| 13–3 | 0.02 | 22% | 12 Jul → | ||
| 8–13 | -0.06 | 6% | 12 Jul → | ||
| 13–10 | -0.03 | 12% | 12 Jul → | ||
| 9–13 | -0.01 | 23% | 9 Jul → | ||
| 6–13 | 0.00 | 17% | 9 Jul → | ||
| 2–13 | -0.08 | 11% | 9 Jul → | ||
| 12–12 | 0.02 | 10% | 9 Jul → | ||
| 13–6 | 0.06 | 9% | 9 Jul → | ||
| 12–12 | -0.05 | 13% | 8 Jul → | ||
| 13–7 | -0.02 | 4% | 8 Jul → | ||
| 9–13 | -0.06 | 13% | 8 Jul → | ||
| 13–11 | -0.01 | 14% | 5 Jul → | ||
| 13–10 | -0.05 | 10% | 5 Jul → | ||
| 13–5 | -0.06 | 18% | 5 Jul → | ||
| 13–6 | 0.03 | 16% | 4 Jul → | ||
| 13–2 | 0.06 | 9% | 4 Jul → | ||
| 6–0 | -0.02 | 17% | 4 Jul → | ||
| 5–13 | 0.01 | 10% | 4 Jul → | ||
| 13–7 | 0.02 | 21% | 4 Jul → | ||
| 13–3 | 0.06 | 16% | 3 Jul → | ||
| 13–4 | 0.02 | 15% | 3 Jul → | ||
| office | 12–6 | 0.08 | 10% | 3 Jul → | |
| 13–5 | 0.08 | 13% | 3 Jul → | ||
| 13–11 | 0.00 | 13% | 3 Jul → | ||
| 13–10 | 0.03 | 14% | 3 Jul → | ||
| 12–12 | -0.04 | 9% | 3 Jul → | ||
| 1–13 | -0.04 | 9% | 2 Jul → | ||
| 11–1 | -0.02 | 7% | 2 Jul → | ||
| 12–12 | 0.03 | 10% | 1 Jul → | ||
| office | 13–5 | 0.03 | 11% | 1 Jul → | |
| 13–11 | 0.10 | 17% | 1 Jul → | ||
| 13–9 | 0.01 | 12% | 30 Jun → | ||
| 13–16 | -0.07 | 4% | 30 Jun → | ||
| 13–7 | 0.01 | 10% | 30 Jun → | ||
| 11–13 | -0.02 | 17% | 30 Jun → | ||
| 13–6 | -0.02 | 19% | 30 Jun → | ||
| 13–6 | 0.07 | 16% | 29 Jun → | ||
| 8–13 | 0.02 | 15% | 29 Jun → | ||
| 13–11 | -0.03 | 9% | 27 Jun → | ||
| 13–5 | -0.02 | 8% | 27 Jun → | ||
| 9–13 | -0.00 | 16% | 27 Jun → | ||
| 13–5 | 0.04 | 7% | 26 Jun → | ||
| 10–13 | -0.00 | 13% | 25 Jun → | ||
| 13–7 | 0.05 | 9% | 25 Jun → | ||
| 13–11 | -0.05 | 10% | 25 Jun → | ||
| 13–6 | -0.00 | 12% | 25 Jun → | ||
| office | 12–12 | 0.08 | 11% | 25 Jun → | |
| 5–13 | -0.07 | 8% | 21 Jun → | ||
| 12–12 | 0.01 | 11% | 21 Jun → | ||
| 13–5 | 0.09 | 12% | 21 Jun → | ||
| 13–4 | -0.03 | 11% | 21 Jun → | ||
| 2–13 | -0.04 | 11% | 20 Jun → | ||
| 12–12 | -0.03 | 8% | 20 Jun → | ||
| 10–13 | 0.01 | 14% | 20 Jun → | ||
| 13–3 | 0.04 | 14% | 19 Jun → | ||
| 13–5 | 0.08 | 14% | 18 Jun → | ||
| 13–4 | 0.05 | 14% | 14 Jun → | ||
| 11–13 | -0.01 | 7% | 11 Jun → | ||
| 13–6 | -0.02 | 12% | 11 Jun → | ||
| 5–9 | -0.15 | 35% | 11 Jun → | ||
| 2–9 | -0.06 | 4% | 11 Jun → | ||
| 11–13 | 0.02 | 16% | 10 Jun → | ||
| 11–13 | -0.05 | 5% | 10 Jun → | ||
| 13–2 | 0.02 | 4% | 10 Jun → | ||
| 9–4 | -0.07 | 10% | 9 Jun → | ||
| poseidon | 5–9 | -0.13 | 11% | 9 Jun → | |
| 13–7 | 0.07 | 10% | 8 Jun → | ||
| 13–7 | -0.02 | 8% | 7 Jun → | ||
| 13–4 | 0.08 | 9% | 7 Jun → | ||
| 13–8 | 0.06 | 9% | 7 Jun → | ||
| 13–5 | 0.02 | 17% | 7 Jun → | ||
| 5–13 | -0.05 | 9% | 5 Jun → | ||
| 13–10 | 0.02 | 8% | 4 Jun → | ||
| 13–2 | 0.04 | 14% | 4 Jun → | ||
| office | 7–13 | 0.05 | 8% | 4 Jun → | |
| 9–13 | -0.04 | 13% | 31 May → | ||
| 11–13 | 0.01 | 15% | 28 May → | ||
| 13–3 | 0.07 | 10% | 28 May → | ||
| 13–3 | 0.00 | 17% | 28 May → | ||
| 6–13 | -0.02 | 24% | 28 May → | ||
| 12–12 | 0.04 | 7% | 27 May → | ||
| 13–6 | 0.00 | 18% | 27 May → |
Match data via Leetify.
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