HungryPanda — CS2 Stats
76561198021136080[U:1:60870352]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=928), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 39.5% | 42.5% | 44.2% | 4.7% short |
| Shot accuracy | 4.6% | 10.9% | 11.2% | 6.6% short |
| Kill/death ratio | 0.61 | 0.99 | 1.04 | 0.42 short |
| Match win rate | 40.3% | 44.2% | 45.3% | 5.0% short |
This profile sits below the typical Level 5 player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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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 61% playstyle similarity
Most alike: opening-duel success, utility contribution.
Where you differ: lower opening-fight frequency; 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. 679ms 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 2.3/10 (Learning), 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 |
|---|---|---|---|---|---|
 dust2 | C | 34 | 12–22 | 35% | -0.06 |
 mirage | B | 25 | 12–13 | 48% | -0.07 |
 inferno | C | 19 | 8–11 | 42% | -0.06 |
 nuke | C | 9 | 4–5 | 44% | -0.05 |
 ancient | — | 4 | 2–2 | 50% | -0.07 |
 cache | — | 4 | 2–2 | 50% | -0.04 |
 overpass | — | 4 | 2–2 | 50% | -0.06 |
 vertigo | — | 1 | 0–1 | 0% | -0.14 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (35% over 34). Start with the 6 essential Dust 2 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLL
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
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 13.3383° — 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 10.9585% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
35% win rate across 34 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 7–13 | -0.12 | 4% | 26 Aug → | |
| ancient | 8–13 | -0.08 | 16% | 26 Aug → | |
| mirage | 13–7 | -0.11 | 7% | 26 Aug → | |
| dust2 | 12–12 | -0.10 | 7% | 25 Aug → | |
| mirage | 5–13 | -0.12 | 12% | 24 Aug → | |
| ancient | 7–13 | -0.11 | 5% | 24 Aug → | |
| mirage | 13–10 | -0.08 | 6% | 22 Aug → | |
| mirage | 12–12 | -0.06 | 9% | 21 Aug → | |
| nuke | 10–13 | -0.07 | 8% | 21 Aug → | |
| dust2 | 13–4 | -0.03 | 5% | 21 Aug → | |
| nuke | 6–13 | -0.07 | 10% | 19 Aug → | |
| dust2 | 10–13 | -0.01 | 14% | 15 Aug → | |
| dust2 | 10–13 | -0.08 | 7% | 14 Aug → | |
| dust2 | 10–13 | -0.08 | 10% | 3 Aug → | |
| dust2 | 2–13 | -0.09 | 11% | 3 Aug → | |
| mirage | 13–2 | 0.02 | 5% | 2 Aug → | |
| dust2 | 13–8 | -0.04 | 10% | 2 Aug → | |
| dust2 | 8–13 | -0.11 | 15% | 2 Aug → | |
| inferno | 9–13 | -0.09 | 8% | 2 Aug → | |
| dust2 | 11–13 | 0.03 | 18% | 1 Aug → | |
| inferno | 10–13 | -0.07 | 12% | 1 Aug → | |
| nuke | 13–4 | -0.08 | 14% | 27 Jul → | |
| mirage | 13–6 | -0.03 | 10% | 27 Jul → | |
| dust2 | 13–9 | -0.08 | 20% | 27 Jul → | |
| nuke | 6–13 | -0.08 | 7% | 17 Jul → | |
| mirage | 10–13 | -0.08 | 12% | 17 Jul → | |
| dust2 | 13–10 | -0.07 | 26% | 17 Jul → | |
| mirage | 6–13 | -0.06 | 7% | 17 Jul → | |
| inferno | 12–12 | -0.07 | 10% | 10 Jul → | |
| mirage | 13–1 | -0.02 | 25% | 10 Jul → | |
| dust2 | 12–12 | -0.07 | 15% | 10 Jul → | |
| dust2 | 13–4 | 0.00 | 16% | 9 Jul → | |
| mirage | 7–13 | -0.09 | 13% | 9 Jul → | |
| mirage | 10–13 | -0.07 | 12% | 8 Jul → | |
| nuke | 7–13 | -0.06 | 10% | 8 Jul → | |
| nuke | 13–10 | -0.02 | 8% | 7 Jul → | |
| dust2 | 12–12 | -0.08 | 15% | 7 Jul → | |
| inferno | 13–2 | -0.05 | 11% | 26 May → | |
| dust2 | 6–13 | -0.07 | 3% | 26 May → | |
| mirage | 13–6 | -0.04 | 12% | 26 May → | |
| cache | 11–13 | -0.06 | 17% | 15 May → | |
| inferno | 13–8 | -0.09 | 12% | 15 May → | |
| dust2 | 6–13 | -0.10 | 11% | 15 May → | |
| mirage | 13–6 | -0.08 | 7% | 10 May → | |
| dust2 | 13–6 | -0.01 | 15% | 10 May → | |
| inferno | 10–13 | -0.00 | 14% | 10 May → | |
| dust2 | 13–3 | 0.00 | 12% | 29 Apr → | |
| cache | 13–6 | -0.04 | 13% | 29 Apr → | |
| cache | 13–9 | -0.05 | 9% | 29 Apr → | |
| cache | 9–13 | -0.01 | 18% | 29 Apr → | |
| overpass | 13–10 | -0.05 | 15% | 28 Apr → | |
| mirage | 2–13 | -0.08 | 13% | 28 Apr → | |
| inferno | 13–7 | -0.06 | 11% | 28 Apr → | |
| nuke | 12–12 | -0.09 | 3% | 28 Apr → | |
| dust2 | 9–13 | -0.07 | 7% | 24 Apr → | |
| mirage | 11–13 | -0.05 | 10% | 24 Apr → | |
| mirage | 13–8 | -0.03 | 8% | 22 Apr → | |
| overpass | 13–3 | -0.02 | 7% | 20 Apr → | |
| ancient | 13–7 | -0.04 | 7% | 20 Apr → | |
| overpass | 11–13 | -0.09 | 14% | 10 Apr → | |
| inferno | 2–13 | -0.01 | 17% | 10 Apr → | |
| dust2 | 3–13 | -0.07 | 10% | 10 Apr → | |
| mirage | 12–12 | -0.10 | 15% | 10 Apr → | |
| dust2 | 13–6 | -0.06 | 19% | 9 Apr → | |
| nuke | 13–10 | -0.04 | 8% | 9 Apr → | |
| mirage | 13–5 | -0.06 | 8% | 29 Mar → | |
| inferno | 12–12 | -0.03 | 6% | 29 Mar → | |
| dust2 | 12–12 | -0.07 | 11% | 29 Mar → | |
| nuke | 13–4 | 0.03 | 9% | 26 Mar → | |
| dust2 | 12–12 | -0.04 | 13% | 26 Mar → | |
| mirage | 10–13 | -0.10 | 12% | 26 Mar → | |
| mirage | 13–7 | -0.06 | 18% | 25 Mar → | |
| overpass | 11–13 | -0.09 | 22% | 25 Mar → | |
| dust2 | 4–13 | -0.07 | 3% | 25 Mar → | |
| inferno | 13–9 | -0.04 | 5% | 25 Mar → | |
| mirage | 13–11 | -0.06 | 5% | 22 Mar → | |
| inferno | 9–13 | -0.12 | 4% | 22 Mar → | |
| dust2 | 13–4 | -0.04 | 8% | 22 Mar → | |
| dust2 | 13–10 | -0.09 | 10% | 21 Mar → | |
| inferno | 11–13 | -0.08 | 6% | 21 Mar → | |
| dust2 | 13–8 | -0.05 | 15% | 21 Mar → | |
| ancient | 13–5 | -0.05 | 6% | 21 Mar → | |
| mirage | 10–13 | -0.09 | 6% | 20 Mar → | |
| inferno | 4–13 | -0.07 | 28% | 20 Mar → | |
| dust2 | 12–12 | -0.04 | 14% | 20 Mar → | |
| inferno | 13–6 | -0.07 | 11% | 18 Mar → | |
| mirage | 13–10 | -0.09 | 17% | 18 Mar → | |
| dust2 | 7–13 | -0.10 | 9% | 18 Mar → | |
| inferno | 13–10 | -0.05 | 12% | 16 Mar → | |
| mirage | 9–13 | -0.06 | 19% | 16 Mar → | |
| dust2 | 6–13 | -0.12 | 10% | 16 Mar → | |
| dust2 | 1–13 | -0.08 | 12% | 14 Mar → | |
| vertigo | 12–12 | -0.14 | 7% | 14 Mar → | |
| mirage | 12–12 | -0.05 | 15% | 14 Mar → | |
| inferno | 13–10 | -0.03 | 12% | 14 Mar → | |
| dust2 | 3–13 | -0.10 | 13% | 14 Mar → | |
| dust2 | 13–8 | -0.06 | 10% | 12 Mar → | |
| inferno | 10–13 | -0.09 | 18% | 12 Mar → | |
| inferno | 13–6 | 0.00 | 13% | 10 Mar → | |
| dust2 | 4–13 | -0.07 | 16% | 10 Mar → |
Match data via Leetify.
