Sir Spanky13 | discord.gg/H2W — CS2 Stats
US76561199806649428[U:1:1846383700]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.07 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerEffective flashesLimited utility dependence
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 m0NESY 90% playstyle similarity
Most alike: opening-fight frequency, aim profile.
Where you differ: 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
Strengths
Aim. Aim score of 100 — the mechanical foundation is a clear strength.
CT openings. 71% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
T openings. 73% T opening-duel success — entries that actually open the round.
Flashes. 0.79 enemies blinded per flash — utility that consistently lands.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 8.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| S | 28 | 28–0 | 100% | 0.20 | |
| S | 17 | 16–1 | 94% | 0.17 | |
| S | 15 | 14–1 | 93% | 0.19 | |
| S | 12 | 11–1 | 92% | 0.22 | |
| S | 10 | 10–0 | 100% | 0.16 | |
| S | 7 | 7–0 | 100% | 0.16 | |
| — | 3 | 3–0 | 100% | 0.17 | |
| office | — | 3 | 3–0 | 100% | 0.22 |
| — | 2 | 2–0 | 100% | 0.17 | |
| — | 2 | 2–0 | 100% | 0.22 | |
| — | 1 | 1–0 | 100% | 0.34 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (92% over 12). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
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 →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.041 — below the 4 mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–0 | 0.17 | 80% | 25 Aug → | ||
| 3–0 | 0.17 | 57% | 25 Aug → | ||
| 3–2 | 0.14 | 50% | 25 Aug → | ||
| 5–0 | 0.19 | 62% | 25 Aug → | ||
| 13–4 | 0.19 | 65% | 25 Aug → | ||
| 9–1 | 0.29 | 75% | 23 Aug → | ||
| 9–3 | 0.17 | 78% | 23 Aug → | ||
| 13–7 | 0.24 | 68% | 23 Aug → | ||
| 13–2 | 0.24 | 53% | 23 Aug → | ||
| 9–1 | 0.30 | 90% | 23 Aug → | ||
| 9–6 | 0.07 | 50% | 23 Aug → | ||
| 9–4 | 0.34 | 61% | 23 Aug → | ||
| 9–5 | 0.17 | 81% | 23 Aug → | ||
| 13–1 | 0.14 | 50% | 23 Aug → | ||
| 13–3 | 0.13 | 69% | 23 Aug → | ||
| 2–0 | 0.00 | 0% | 23 Aug → | ||
| 13–6 | 0.25 | 58% | 23 Aug → | ||
| 13–0 | 0.02 | 67% | 23 Aug → | ||
| 13–2 | -0.00 | 75% | 23 Aug → | ||
| 9–2 | 0.29 | 83% | 23 Aug → | ||
| 9–3 | 0.16 | 22% | 17 Aug → | ||
| 9–2 | 0.32 | 38% | 17 Aug → | ||
| 13–3 | 0.23 | 93% | 17 Aug → | ||
| 13–1 | 0.14 | 60% | 17 Aug → | ||
| 13–4 | 0.22 | 52% | 17 Aug → | ||
| 13–3 | 0.22 | 41% | 17 Aug → | ||
| 13–7 | 0.14 | 58% | 17 Aug → | ||
| 13–0 | 0.06 | 33% | 17 Aug → | ||
| 13–5 | 0.17 | 64% | 17 Aug → | ||
| 13–0 | 0.14 | 71% | 17 Aug → | ||
| 9–5 | 0.18 | 58% | 17 Aug → | ||
| 9–5 | 0.08 | 50% | 17 Aug → | ||
| 9–1 | 0.36 | 38% | 17 Aug → | ||
| 9–3 | 0.08 | 50% | 16 Aug → | ||
| 9–5 | 0.03 | 21% | 16 Aug → | ||
| 13–2 | 0.25 | 32% | 16 Aug → | ||
| 13–8 | 0.36 | 38% | 16 Aug → | ||
| 13–4 | 0.09 | 38% | 16 Aug → | ||
| 13–4 | 0.34 | 72% | 16 Aug → | ||
| 0–5 | 0.04 | 100% | 16 Aug → | ||
| 8–0 | 0.14 | 50% | 16 Aug → | ||
| 13–0 | 0.33 | 100% | 16 Aug → | ||
| office | 13–11 | 0.25 | 58% | 16 Aug → | |
| 13–4 | 0.24 | 64% | 16 Aug → | ||
| 9–5 | 0.21 | 72% | 15 Aug → | ||
| 9–5 | 0.00 | 27% | 15 Aug → | ||
| 9–1 | 0.27 | 63% | 15 Aug → | ||
| 9–4 | 0.19 | 31% | 15 Aug → | ||
| 9–2 | 0.27 | 45% | 15 Aug → | ||
| 13–3 | 0.09 | 52% | 14 Aug → | ||
| 9–2 | 0.18 | 67% | 11 Aug → | ||
| 8–0 | 0.24 | 63% | 11 Aug → | ||
| 13–1 | 0.18 | 75% | 11 Aug → | ||
| 13–1 | 0.19 | 62% | 11 Aug → | ||
| 2–13 | 0.03 | 40% | 11 Aug → | ||
| 13–6 | 0.30 | 42% | 11 Aug → | ||
| 12–12 | 0.27 | 45% | 11 Aug → | ||
| 9–0 | 0.34 | 71% | 11 Aug → | ||
| 9–5 | 0.25 | 53% | 11 Aug → | ||
| 13–0 | 0.27 | 56% | 11 Aug → | ||
| office | 13–8 | 0.25 | 60% | 11 Aug → | |
| 13–2 | 0.09 | 40% | 11 Aug → | ||
| 13–2 | 0.23 | 64% | 11 Aug → | ||
| 2–1 | 0.02 | 75% | 11 Aug → | ||
| 13–1 | 0.19 | 42% | 11 Aug → | ||
| office | 13–4 | 0.16 | 53% | 10 Aug → | |
| 9–0 | 0.34 | 38% | 10 Aug → | ||
| 9–2 | 0.37 | 56% | 10 Aug → | ||
| 13–1 | 0.15 | 58% | 10 Aug → | ||
| 13–1 | 0.14 | 55% | 10 Aug → | ||
| 13–0 | 0.20 | 25% | 10 Aug → | ||
| 13–3 | 0.30 | 63% | 10 Aug → | ||
| 2–1 | 0.22 | 40% | 10 Aug → | ||
| 13–1 | 0.25 | 80% | 10 Aug → | ||
| 5–0 | 0.14 | 40% | 10 Aug → | ||
| 13–5 | 0.15 | 39% | 10 Aug → | ||
| 13–2 | 0.30 | 45% | 10 Aug → | ||
| 9–2 | 0.17 | 60% | 10 Aug → | ||
| 9–1 | 0.33 | 60% | 10 Aug → | ||
| 9–2 | 0.13 | 71% | 10 Aug → | ||
| 13–7 | 0.21 | 74% | 10 Aug → | ||
| 8–1 | 0.21 | 50% | 10 Aug → | ||
| 13–1 | 0.30 | 100% | 10 Aug → | ||
| 13–2 | 0.16 | 70% | 10 Aug → | ||
| 9–3 | 0.24 | 43% | 10 Aug → | ||
| 9–4 | 0.18 | 47% | 10 Aug → | ||
| 9–4 | 0.10 | 67% | 10 Aug → | ||
| 13–0 | 0.21 | 44% | 9 Aug → | ||
| 5–1 | 0.16 | 86% | 9 Aug → | ||
| 13–3 | 0.16 | 85% | 9 Aug → | ||
| 13–0 | 0.12 | 75% | 9 Aug → | ||
| 13–2 | 0.15 | 75% | 9 Aug → | ||
| 13–2 | 0.24 | 40% | 9 Aug → | ||
| 13–1 | 0.15 | 20% | 9 Aug → | ||
| 13–1 | 0.20 | 20% | 9 Aug → | ||
| 9–0 | 0.43 | 43% | 9 Aug → | ||
| 13–3 | 0.19 | 57% | 9 Aug → | ||
| 13–5 | 0.16 | 27% | 8 Aug → | ||
| 13–2 | 0.03 | 50% | 8 Aug → | ||
| 13–5 | 0.13 | 22% | 8 Aug → |
Match data via Leetify.