JUNKFOODGAMER — CS2 Stats
76561198028642792[U:1:68377064]Steam profile ↗
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=1,240), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 32.2% | 41.7% | 44.1% | 11.9% short |
| Shot accuracy | 18.6% | 8.8% | 11.4% | above |
| Kill/death ratio | 0.95 | 0.97 | 1.03 | 0.08 short |
| Match win rate | 44.2% | 43.8% | 45.2% | 1.0% short |
This profile matches the typical Purple band player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Purple band 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: +0pp 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 72% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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. 644ms 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 3.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 78 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 |
|---|---|---|---|---|---|
 mirage | C | 17 | 7–10 | 41% | -0.01 |
 dust2 | B | 16 | 8–8 | 50% | -0.02 |
 overpass | C | 10 | 4–6 | 40% | -0.04 |
 cache | B | 8 | 4–4 | 50% | -0.01 |
 inferno | D | 6 | 0–6 | 0% | -0.02 |
 ancient | S | 5 | 4–1 | 80% | -0.01 |
 vertigo | — | 4 | 2–2 | 50% | -0.07 |
 nuke | — | 4 | 2–2 | 50% | -0.02 |
 train | — | 4 | 2–2 | 50% | 0.00 |
 anubis | — | 3 | 0–3 | 0% | -0.05 |
| office | — | 1 | 0–1 | 0% | -0.08 |
Across the last 78 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Inferno 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.
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 12.6781° — above the 12° 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 0.4294 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| vertigo | 0–13 | -0.10 | 50% | 19 Jun → | |
| vertigo | 12–12 | -0.14 | 14% | 15 Jun → | |
| office | 11–13 | -0.08 | 10% | 15 Jun → | |
| dust2 | 13–11 | -0.04 | 9% | 15 Jun → | |
| inferno | 10–13 | -0.05 | 20% | 22 May → | |
| dust2 | 13–10 | -0.05 | 17% | 22 May → | |
| nuke | 13–10 | -0.06 | 13% | 22 May → | |
| anubis | 8–13 | 0.03 | 25% | 22 May → | |
| ancient | 13–4 | -0.04 | 23% | 22 May → | |
| dust2 | 9–13 | -0.10 | 15% | 22 May → | |
| anubis | 5–13 | -0.10 | 10% | 22 May → | |
| vertigo | 13–6 | -0.02 | 11% | 21 May → | |
| mirage | 7–13 | -0.03 | 13% | 21 May → | |
| inferno | 6–13 | -0.03 | 15% | 21 May → | |
| dust2 | 13–5 | 0.01 | 21% | 21 May → | |
| dust2 | 15–15 | -0.01 | 12% | 19 May → | |
| mirage | 13–8 | -0.05 | 4% | 19 May → | |
| mirage | 11–13 | -0.01 | 25% | 15 May → | |
| dust2 | 13–4 | 0.03 | 27% | 14 May → | |
| mirage | 11–13 | -0.02 | 10% | 13 May → | |
| mirage | 8–2 | -0.00 | 25% | 13 May → | |
| overpass | 16–13 | -0.02 | 19% | 13 May → | |
| dust2 | 13–9 | 0.03 | 13% | 13 May → | |
| mirage | 13–11 | -0.04 | 5% | 13 May → | |
| dust2 | 10–13 | -0.09 | 15% | 13 May → | |
| overpass | 13–7 | 0.01 | 17% | 12 May → | |
| mirage | 5–13 | -0.05 | 21% | 12 May → | |
| dust2 | 9–13 | 0.03 | 14% | 12 May → | |
| anubis | 6–13 | -0.09 | 13% | 12 May → | |
| mirage | 5–13 | -0.04 | 14% | 12 May → | |
| ancient | 6–0 | 0.08 | 11% | 12 May → | |
| dust2 | 4–13 | -0.04 | 13% | 11 May → | |
| ancient | 6–13 | -0.03 | 20% | 11 May → | |
| ancient | 5–3 | -0.03 | 6% | 11 May → | |
| nuke | 13–10 | -0.01 | 8% | 11 May → | |
| ancient | 8–2 | -0.05 | 25% | 11 May → | |
| dust2 | 8–13 | -0.05 | 4% | 11 May → | |
| train | 12–12 | 0.01 | 16% | 11 May → | |
| cache | 13–7 | -0.04 | 5% | 11 May → | |
| dust2 | 13–1 | -0.01 | 18% | 11 May → | |
| cache | 12–12 | -0.09 | 16% | 11 May → | |
| cache | 13–7 | 0.06 | 21% | 7 May → | |
| cache | 12–12 | -0.01 | 15% | 6 May → | |
| cache | 11–6 | -0.00 | 10% | 6 May → | |
| overpass | 13–10 | -0.08 | 2% | 28 Aug → | |
| dust2 | 13–10 | -0.03 | 7% | 28 Feb → | |
| dust2 | 7–13 | -0.06 | 9% | 10 Jan → | |
| train | 9–13 | -0.06 | 11% | 10 Jan → | |
| inferno | 10–13 | -0.02 | 10% | 10 Jan → | |
| vertigo | 13–4 | -0.03 | 15% | 27 Aug → | |
| overpass | 2–9 | -0.21 | 13% | 27 Sept → | |
| overpass | 6–9 | -0.07 | 9% | 27 Sept → | |
| nuke | 8–8 | 0.01 | 5% | 4 Sept → | |
| nuke | 5–9 | -0.02 | 4% | 3 Sept → | |
| inferno | 6–9 | -0.03 | 12% | 27 Mar → | |
| cache | 16–6 | 0.10 | 9% | 27 Dec → | |
| overpass | 10–16 | -0.05 | 14% | 27 Dec → | |
| inferno | 8–8 | 0.00 | 18% | 27 Dec → | |
| mirage | 9–3 | -0.01 | 11% | 4 Aug → | |
| cache | 8–8 | -0.06 | 9% | 4 Aug → | |
| train | 9–7 | 0.06 | 10% | 29 Jul → | |
| mirage | 9–3 | 0.00 | 20% | 29 Jul → | |
| dust2 | 9–0 | 0.10 | 3% | 29 Jul → | |
| mirage | 8–8 | -0.02 | 8% | 25 Jul → | |
| overpass | 8–8 | 0.00 | 8% | 9 Jul → | |
| mirage | 9–7 | 0.06 | 18% | 6 Jul → | |
| cache | 8–8 | -0.02 | 7% | 4 Jul → | |
| mirage | 6–9 | 0.04 | 11% | 3 Jul → | |
| overpass | 16–13 | -0.01 | 7% | 12 Jun → | |
| dust2 | 7–9 | -0.06 | 11% | 25 May → | |
| mirage | 13–16 | -0.05 | 19% | 20 Apr → | |
| inferno | 14–16 | 0.00 | 7% | 15 Jun → | |
| overpass | 12–16 | 0.00 | 15% | 12 Jun → | |
| mirage | 12–16 | 0.00 | 6% | 12 Jun → | |
| overpass | 7–16 | 0.00 | 15% | 10 Jun → | |
| train | 16–3 | 0.00 | 13% | 10 Jun → | |
| mirage | 16–12 | 0.00 | 13% | 10 Jun → | |
| mirage | 2–16 | 0.00 | 0% | 31 May → |
Match data via Leetify.