ShadowPanda — CS2 Stats
76561198449809194[U:1:489543466]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.00 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 59% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
Reaction time. 715ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 64% 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 2.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
| C | 28 | 11–17 | 39% | -0.04 | |
| C | 20 | 8–12 | 40% | -0.04 | |
| B | 19 | 10–9 | 53% | -0.04 | |
| S | 16 | 11–5 | 69% | -0.03 | |
| S | 6 | 4–2 | 67% | -0.05 | |
| — | 4 | 1–3 | 25% | -0.05 | |
| — | 3 | 2–1 | 67% | -0.02 | |
| — | 2 | 1–1 | 50% | -0.07 | |
| — | 2 | 0–2 | 0% | -0.01 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (39% over 28). Start with the 6 essential Dust 2 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.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.1932° — above the 12° mark we flag
- 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 11.5084% — below the 15% mark we flag
- 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 714.9238ms — above the 700ms mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
39% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | -0.06 | 10% | 5 Jul → | ||
| 3–13 | -0.12 | 20% | 5 Jul → | ||
| 3–13 | -0.12 | 16% | 5 Jul → | ||
| 13–6 | -0.04 | 5% | 16 Jun → | ||
| 9–13 | -0.05 | 14% | 15 Jun → | ||
| 12–12 | -0.06 | 14% | 15 Jun → | ||
| 4–13 | -0.03 | 15% | 13 Jun → | ||
| 13–8 | -0.02 | 11% | 13 Jun → | ||
| 13–7 | -0.05 | 13% | 11 Jun → | ||
| 13–16 | -0.07 | 11% | 11 Jun → | ||
| 8–13 | -0.11 | 10% | 7 Jun → | ||
| 9–13 | -0.11 | 6% | 7 Jun → | ||
| 13–4 | -0.06 | 10% | 7 Jun → | ||
| 4–13 | -0.05 | 15% | 6 Jun → | ||
| 13–7 | -0.03 | 5% | 6 Jun → | ||
| 5–13 | -0.07 | 15% | 6 Jun → | ||
| 8–13 | -0.07 | 18% | 2 Jun → | ||
| 13–5 | 0.02 | 7% | 2 Jun → | ||
| 7–13 | -0.06 | 11% | 28 May → | ||
| 6–13 | -0.08 | 10% | 28 May → | ||
| 13–5 | 0.01 | 10% | 17 May → | ||
| 4–13 | -0.07 | 14% | 16 May → | ||
| 13–10 | 0.01 | 8% | 16 May → | ||
| 13–9 | 0.02 | 18% | 16 May → | ||
| 13–7 | 0.00 | 9% | 16 May → | ||
| 11–13 | 0.01 | 13% | 15 May → | ||
| 15–15 | -0.09 | 7% | 15 May → | ||
| 13–10 | -0.05 | 8% | 13 May → | ||
| 13–9 | -0.02 | 12% | 13 May → | ||
| 13–10 | -0.03 | 14% | 11 May → | ||
| 7–13 | -0.06 | 11% | 11 May → | ||
| 1–13 | -0.10 | 13% | 11 May → | ||
| 13–4 | -0.02 | 2% | 7 May → | ||
| 9–13 | -0.06 | 12% | 7 May → | ||
| 11–13 | 0.04 | 15% | 7 May → | ||
| 13–1 | -0.04 | 15% | 5 May → | ||
| 5–13 | -0.03 | 7% | 5 May → | ||
| 13–7 | -0.00 | 13% | 5 May → | ||
| 8–13 | -0.03 | 10% | 4 May → | ||
| 13–5 | 0.03 | 21% | 4 May → | ||
| 8–13 | -0.02 | 24% | 4 May → | ||
| 13–11 | -0.04 | 19% | 3 May → | ||
| 6–13 | -0.01 | 17% | 3 May → | ||
| 4–13 | -0.05 | 7% | 3 May → | ||
| 13–10 | -0.03 | 7% | 3 May → | ||
| 16–13 | -0.04 | 3% | 3 May → | ||
| 13–10 | 0.06 | 12% | 2 May → | ||
| 13–4 | 0.02 | 15% | 2 May → | ||
| 13–3 | -0.05 | 12% | 2 May → | ||
| 16–14 | -0.01 | 10% | 1 May → | ||
| 13–7 | -0.03 | 13% | 1 May → | ||
| 12–16 | -0.09 | 12% | 1 May → | ||
| 10–7 | -0.11 | 10% | 30 Apr → | ||
| 13–8 | 0.00 | 19% | 30 Apr → | ||
| 13–7 | -0.04 | 3% | 28 Apr → | ||
| 8–13 | -0.08 | 6% | 27 Apr → | ||
| 13–5 | -0.05 | 10% | 27 Apr → | ||
| 4–13 | -0.04 | 12% | 27 Apr → | ||
| 13–11 | -0.02 | 10% | 27 Apr → | ||
| 8–1 | -0.01 | 19% | 26 Apr → | ||
| 5–13 | -0.06 | 15% | 26 Apr → | ||
| 13–4 | -0.07 | 28% | 16 Apr → | ||
| 0–13 | -0.06 | 16% | 16 Apr → | ||
| 13–5 | -0.06 | 15% | 16 Apr → | ||
| 6–13 | -0.02 | 20% | 11 Apr → | ||
| 13–11 | -0.12 | 14% | 11 Apr → | ||
| 13–8 | -0.01 | 12% | 11 Apr → | ||
| 8–13 | -0.01 | 11% | 11 Apr → | ||
| 13–8 | -0.07 | 15% | 11 Apr → | ||
| 9–13 | -0.08 | 10% | 11 Apr → | ||
| 6–13 | -0.06 | 8% | 10 Apr → | ||
| 13–6 | 0.07 | 15% | 10 Apr → | ||
| 7–12 | 0.02 | 17% | 10 Apr → | ||
| 13–4 | -0.04 | 7% | 9 Apr → | ||
| 13–5 | 0.03 | 14% | 9 Apr → | ||
| 5–13 | -0.06 | 12% | 9 Apr → | ||
| 12–16 | -0.06 | 18% | 5 Apr → | ||
| 13–10 | -0.04 | 10% | 5 Apr → | ||
| 6–13 | -0.04 | 11% | 5 Apr → | ||
| 5–13 | -0.11 | 8% | 4 Apr → | ||
| 13–4 | -0.02 | 11% | 4 Apr → | ||
| 13–8 | -0.09 | 8% | 4 Apr → | ||
| 7–13 | -0.09 | 10% | 4 Apr → | ||
| 0–13 | -0.13 | 5% | 4 Apr → | ||
| 15–15 | -0.04 | 7% | 4 Apr → | ||
| 10–13 | -0.02 | 8% | 4 Apr → | ||
| 7–13 | 0.01 | 10% | 3 Apr → | ||
| 12–12 | -0.04 | 14% | 3 Apr → | ||
| 4–13 | -0.09 | 7% | 3 Apr → | ||
| 9–13 | -0.02 | 10% | 3 Apr → | ||
| 13–8 | 0.06 | 11% | 3 Apr → | ||
| 13–8 | -0.08 | 15% | 27 Mar → | ||
| 16–14 | 0.03 | 14% | 27 Mar → | ||
| 6–13 | -0.00 | 11% | 26 Mar → | ||
| 9–13 | -0.06 | 9% | 26 Mar → | ||
| 13–6 | 0.06 | 12% | 22 Mar → | ||
| 13–11 | -0.05 | 8% | 22 Mar → | ||
| 13–10 | -0.00 | 6% | 22 Mar → | ||
| 11–13 | -0.04 | 9% | 19 Mar → | ||
| 11–13 | -0.10 | 0% | 19 Mar → |
Match data via Leetify.