Kung Fent Panda — CS2 Stats
76561198272369647[U:1:312103919]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.04 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 74% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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. 721ms 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 4.5/10 (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 95 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 |
|---|---|---|---|---|---|
 inferno | A | 34 | 19–15 | 56% | -0.01 |
 dust2 | B | 23 | 11–12 | 48% | -0.02 |
 mirage | C | 16 | 7–9 | 44% | -0.02 |
 nuke | S | 9 | 6–3 | 67% | 0.04 |
 train | D | 8 | 2–6 | 25% | -0.04 |
 ancient | — | 2 | 2–0 | 100% | -0.01 |
 cache | — | 1 | 0–1 | 0% | -0.02 |
 anubis | — | 1 | 1–0 | 100% | 0.01 |
| office | — | 1 | 1–0 | 100% | -0.02 |
Across the last 95 tracked matches.
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 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 721.0705ms — above the 700ms 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 0.1719 — 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 34.5467% — 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.
25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 4–13 | -0.06 | 20% | 13 Aug → | |
| dust2 | 5–13 | -0.03 | 32% | 11 Aug → | |
| mirage | 13–9 | 0.04 | 26% | 11 Aug → | |
| inferno | 9–7 | 0.12 | 38% | 11 Aug → | |
| inferno | 9–7 | 0.16 | 35% | 11 Aug → | |
| inferno | 9–3 | 0.14 | 25% | 11 Aug → | |
| mirage | 10–13 | 0.01 | 28% | 11 Aug → | |
| ancient | 13–6 | -0.01 | 24% | 22 Jun → | |
| ancient | 13–1 | -0.01 | 24% | 22 Jun → | |
| inferno | 9–7 | 0.11 | 21% | 22 Jun → | |
| inferno | 9–1 | 0.17 | 31% | 22 Jun → | |
| cache | 12–12 | -0.02 | 21% | 17 Jun → | |
| dust2 | 9–8 | 0.05 | 38% | 17 Jun → | |
| inferno | 9–13 | -0.01 | 17% | 16 Jun → | |
| inferno | 13–8 | -0.01 | 37% | 16 Jun → | |
| mirage | 13–11 | -0.00 | 21% | 25 May → | |
| inferno | 13–3 | 0.01 | 9% | 25 May → | |
| inferno | 13–7 | -0.05 | 80% | 25 May → | |
| mirage | 13–1 | -0.01 | 36% | 14 May → | |
| dust2 | 13–10 | -0.02 | 23% | 14 May → | |
| dust2 | 13–2 | 0.00 | 47% | 13 May → | |
| train | 13–5 | -0.01 | 32% | 13 May → | |
| mirage | 13–9 | -0.00 | 24% | 13 May → | |
| inferno | 13–3 | -0.06 | 23% | 13 May → | |
| inferno | 13–4 | 0.01 | 20% | 13 May → | |
| dust2 | 13–8 | -0.06 | 7% | 8 May → | |
| train | 10–13 | -0.10 | 9% | 8 May → | |
| train | 11–13 | -0.07 | 20% | 6 May → | |
| inferno | 4–13 | -0.07 | 15% | 6 May → | |
| mirage | 13–4 | -0.02 | 19% | 6 May → | |
| inferno | 11–13 | -0.04 | 9% | 5 May → | |
| inferno | 10–13 | 0.04 | 12% | 5 May → | |
| mirage | 10–13 | -0.03 | 7% | 5 May → | |
| nuke | 12–12 | 0.02 | 36% | 4 May → | |
| dust2 | 5–13 | -0.04 | 19% | 4 May → | |
| inferno | 6–9 | -0.13 | 16% | 4 May → | |
| dust2 | 13–5 | -0.03 | 19% | 4 May → | |
| dust2 | 2–13 | 0.02 | 37% | 4 May → | |
| train | 4–13 | -0.10 | 36% | 4 May → | |
| nuke | 9–13 | -0.00 | 25% | 2 May → | |
| dust2 | 13–8 | 0.02 | 21% | 2 May → | |
| train | 2–13 | -0.03 | 44% | 2 May → | |
| inferno | 1–9 | -0.22 | 8% | 1 May → | |
| inferno | 8–8 | 0.01 | 18% | 1 May → | |
| dust2 | 13–9 | 0.01 | 29% | 1 May → | |
| dust2 | 5–0 | 0.03 | 50% | 1 May → | |
| dust2 | 13–3 | -0.07 | 19% | 1 May → | |
| inferno | 13–2 | -0.05 | 44% | 1 May → | |
| inferno | 6–9 | 0.04 | 21% | 1 May → | |
| train | 13–4 | 0.01 | 15% | 1 May → | |
| nuke | 9–6 | 0.08 | 41% | 29 Apr → | |
| nuke | 13–4 | 0.08 | 37% | 29 Apr → | |
| dust2 | 13–3 | 0.01 | 15% | 29 Apr → | |
| inferno | 13–11 | 0.05 | 26% | 29 Apr → | |
| inferno | 9–2 | 0.07 | 62% | 29 Apr → | |
| inferno | 9–4 | 0.06 | 18% | 29 Apr → | |
| inferno | 8–8 | -0.14 | 0% | 29 Apr → | |
| inferno | 3–9 | -0.19 | 33% | 29 Apr → | |
| mirage | 10–13 | -0.04 | 18% | 28 Apr → | |
| inferno | 13–8 | -0.06 | 23% | 28 Apr → | |
| inferno | 13–6 | 0.01 | 21% | 28 Apr → | |
| dust2 | 9–13 | -0.06 | 21% | 28 Apr → | |
| dust2 | 4–13 | -0.10 | 25% | 28 Apr → | |
| mirage | 12–12 | -0.01 | 21% | 28 Apr → | |
| mirage | 13–7 | -0.03 | 11% | 27 Apr → | |
| dust2 | 12–12 | -0.04 | 21% | 27 Apr → | |
| nuke | 6–1 | 0.06 | 67% | 27 Apr → | |
| anubis | 13–6 | 0.01 | 31% | 27 Apr → | |
| office | 13–7 | -0.02 | 19% | 27 Apr → | |
| train | 0–13 | -0.03 | 21% | 27 Apr → | |
| nuke | 13–8 | 0.06 | 23% | 27 Apr → | |
| inferno | 13–3 | -0.01 | 21% | 27 Apr → | |
| dust2 | 7–13 | 0.05 | 28% | 27 Apr → | |
| mirage | 12–12 | -0.07 | 27% | 27 Apr → | |
| inferno | 4–9 | -0.19 | 50% | 27 Apr → | |
| inferno | 9–6 | 0.12 | 32% | 27 Apr → | |
| dust2 | 13–10 | -0.03 | 19% | 25 Apr → | |
| mirage | 13–4 | 0.02 | 14% | 25 Apr → | |
| inferno | 8–8 | -0.01 | 31% | 25 Apr → | |
| inferno | 9–3 | -0.05 | 38% | 25 Apr → | |
| nuke | 13–4 | -0.00 | 20% | 25 Apr → | |
| inferno | 9–13 | -0.01 | 30% | 23 Apr → | |
| inferno | 6–13 | -0.08 | 6% | 23 Apr → | |
| mirage | 5–13 | -0.05 | 15% | 22 Apr → | |
| dust2 | 1–13 | -0.05 | 21% | 22 Apr → | |
| mirage | 9–13 | -0.02 | 31% | 21 Apr → | |
| dust2 | 10–13 | 0.02 | 23% | 21 Apr → | |
| nuke | 10–13 | 0.02 | 37% | 18 Apr → | |
| inferno | 11–13 | 0.01 | 50% | 4 Apr → | |
| dust2 | 7–13 | -0.09 | 21% | 4 Apr → | |
| mirage | 12–12 | -0.07 | 53% | 27 Mar → | |
| train | 9–13 | -0.00 | 48% | 27 Mar → | |
| dust2 | 10–13 | -0.02 | 23% | 27 Mar → | |
| mirage | 12–16 | -0.02 | 24% | 20 Mar → | |
| nuke | 9–4 | 0.10 | 15% | 19 Mar → |
Match data via Leetify.