Fluttershy — CS2 Stats
76561199875305280[U:1:1915039552]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.02 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerStrong CT-side openerLimited 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 88% 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. 79% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 79% on CT to 58% on T — the same duels are being taken with worse setups on the attacking side.
Counter-strafing. Only 50% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 6.7/10 (Solid), 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 92 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% | 0.15 | |
| S | 17 | 17–0 | 100% | 0.17 | |
| S | 14 | 14–0 | 100% | 0.20 | |
| S | 13 | 12–1 | 92% | 0.22 | |
| office | S | 12 | 12–0 | 100% | 0.23 |
| — | 3 | 3–0 | 100% | 0.21 | |
| — | 2 | 2–0 | 100% | 0.26 | |
| — | 1 | 1–0 | 100% | 0.03 | |
| — | 1 | 1–0 | 100% | 0.16 | |
| debris | — | 1 | 1–0 | 100% | 0.38 |
Across the last 92 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (92% over 13). Start with the 6 essential Inferno 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 →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.2363 — below the 0.5 mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–3 | 0.18 | 21% | 28 Aug → | ||
| 8–0 | 0.06 | 26% | 28 Aug → | ||
| 4–0 | 0.23 | 50% | 22 Aug → | ||
| 13–6 | 0.16 | 19% | 22 Aug → | ||
| 13–2 | 0.25 | 42% | 22 Aug → | ||
| 13–0 | 0.22 | 26% | 21 Aug → | ||
| 4–0 | 0.14 | 70% | 21 Aug → | ||
| 13–1 | 0.16 | 30% | 21 Aug → | ||
| 10–0 | 0.09 | 40% | 21 Aug → | ||
| 7–2 | 0.05 | 67% | 21 Aug → | ||
| 13–4 | 0.30 | 52% | 21 Aug → | ||
| 3–0 | 0.15 | 38% | 21 Aug → | ||
| 13–1 | 0.09 | 56% | 21 Aug → | ||
| 13–0 | 0.24 | 46% | 21 Aug → | ||
| 6–0 | 0.09 | 43% | 21 Aug → | ||
| 13–0 | 0.05 | 30% | 21 Aug → | ||
| 13–4 | 0.24 | 75% | 20 Aug → | ||
| 7–2 | 0.06 | 75% | 20 Aug → | ||
| 13–3 | 0.10 | 20% | 20 Aug → | ||
| 7–1 | -0.01 | 50% | 20 Aug → | ||
| 4–0 | 0.28 | 37% | 20 Aug → | ||
| 13–1 | 0.20 | 61% | 20 Aug → | ||
| 9–2 | 0.06 | 35% | 20 Aug → | ||
| 13–3 | 0.13 | 48% | 20 Aug → | ||
| 13–0 | 0.18 | 40% | 20 Aug → | ||
| 13–2 | 0.11 | 38% | 20 Aug → | ||
| 13–4 | 0.13 | 25% | 20 Aug → | ||
| 13–0 | 0.12 | 46% | 20 Aug → | ||
| 13–1 | 0.17 | 20% | 20 Aug → | ||
| 13–1 | 0.31 | 41% | 20 Aug → | ||
| 13–0 | 0.17 | 55% | 20 Aug → | ||
| 13–2 | 0.22 | 55% | 20 Aug → | ||
| office | 13–5 | 0.20 | 34% | 19 Aug → | |
| office | 13–1 | 0.29 | 18% | 19 Aug → | |
| 6–2 | 0.03 | 17% | 19 Aug → | ||
| 13–0 | 0.26 | 33% | 19 Aug → | ||
| 13–1 | 0.26 | 17% | 19 Aug → | ||
| office | 13–11 | 0.41 | 23% | 19 Aug → | |
| office | 13–7 | 0.37 | 39% | 19 Aug → | |
| office | 10–1 | 0.25 | 80% | 19 Aug → | |
| 13–3 | 0.21 | 39% | 19 Aug → | ||
| office | 13–2 | 0.16 | 25% | 19 Aug → | |
| office | 13–5 | 0.36 | 32% | 19 Aug → | |
| office | 13–0 | 0.16 | 22% | 19 Aug → | |
| 9–1 | 0.32 | 54% | 18 Aug → | ||
| 9–1 | 0.27 | 48% | 18 Aug → | ||
| office | 13–2 | 0.18 | 43% | 18 Aug → | |
| 11–3 | 0.23 | 42% | 18 Aug → | ||
| 9–1 | 0.25 | 60% | 17 Aug → | ||
| 9–2 | 0.29 | 54% | 17 Aug → | ||
| 9–1 | 0.19 | 100% | 17 Aug → | ||
| 9–0 | 0.29 | 64% | 17 Aug → | ||
| 8–8 | 0.02 | 50% | 17 Aug → | ||
| 13–1 | 0.16 | 24% | 17 Aug → | ||
| office | 11–2 | 0.19 | 32% | 17 Aug → | |
| 13–2 | 0.18 | 15% | 17 Aug → | ||
| 9–2 | 0.28 | 32% | 17 Aug → | ||
| 9–1 | 0.27 | 75% | 17 Aug → | ||
| 13–6 | 0.17 | 24% | 17 Aug → | ||
| 13–2 | 0.41 | 30% | 17 Aug → | ||
| 9–6 | 0.22 | 36% | 17 Aug → | ||
| 9–0 | 0.41 | 89% | 17 Aug → | ||
| debris | 9–0 | 0.38 | 58% | 17 Aug → | |
| 9–0 | 0.36 | 62% | 17 Aug → | ||
| 13–3 | 0.31 | 43% | 17 Aug → | ||
| 13–5 | 0.04 | 19% | 17 Aug → | ||
| 13–3 | 0.18 | 50% | 17 Aug → | ||
| 13–2 | 0.08 | 43% | 17 Aug → | ||
| 13–2 | 0.22 | 32% | 17 Aug → | ||
| 13–1 | 0.20 | 34% | 17 Aug → | ||
| 4–0 | 0.52 | 26% | 17 Aug → | ||
| 6–1 | 0.13 | 22% | 17 Aug → | ||
| 13–0 | 0.16 | 32% | 16 Aug → | ||
| office | 13–1 | 0.19 | 32% | 16 Aug → | |
| 7–0 | 0.21 | 27% | 16 Aug → | ||
| office | 8–0 | 0.06 | 47% | 16 Aug → | |
| 13–1 | 0.04 | 36% | 16 Aug → | ||
| 13–0 | 0.07 | 38% | 16 Aug → | ||
| 13–3 | 0.16 | 50% | 16 Aug → | ||
| 4–0 | 0.05 | 40% | 16 Aug → | ||
| 13–0 | 0.08 | 24% | 16 Aug → | ||
| 13–4 | 0.14 | 41% | 16 Aug → | ||
| 13–2 | 0.22 | 42% | 16 Aug → | ||
| 13–2 | 0.13 | 30% | 16 Aug → | ||
| 13–3 | 0.08 | 32% | 16 Aug → | ||
| 13–1 | 0.11 | 17% | 15 Aug → | ||
| 13–2 | 0.20 | 29% | 15 Aug → | ||
| 4–0 | 0.26 | 14% | 15 Aug → | ||
| 13–2 | 0.08 | 22% | 15 Aug → | ||
| 13–7 | 0.16 | 33% | 15 Aug → | ||
| 13–4 | 0.30 | 14% | 15 Aug → | ||
| 13–1 | -0.01 | 23% | 14 Aug → |
Match data via Leetify.