freaky freddan — CS2 Stats
76561198052217415[U:1:91951687]
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median | vs Pink band |
|---|---|---|---|
| Headshot rate | 46.5% | 48.1% | 1.6% short |
| Shot accuracy | 13.3% | 12.9% | above |
| Kill/death ratio | 0.91 | 1.08 | 0.17 short |
| Match win rate | 49.0% | 46.5% | above |
This profile matches the typical Pink band player on 2 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Pink 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: +10pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 sh1ro 91% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: 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. 562ms 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 6.1/10 (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 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 |
|---|---|---|---|---|---|
 cache | A | 46 | 26–20 | 57% | 0.02 |
 dust2 | B | 20 | 10–10 | 50% | 0.01 |
 mirage | C | 14 | 5–9 | 36% | 0.01 |
 inferno | B | 6 | 3–3 | 50% | 0.02 |
 nuke | S | 5 | 4–1 | 80% | 0.08 |
 ancient | C | 5 | 2–3 | 40% | -0.01 |
 overpass | — | 3 | 1–2 | 33% | 0.04 |
 train | — | 1 | 0–1 | 0% | 0.00 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Mirage 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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 13–9 | 0.06 | 18% | 28 Aug → | |
| mirage | 8–13 | 0.06 | 17% | 27 Aug → | |
| dust2 | 13–11 | 0.04 | 28% | 27 Aug → | |
| inferno | 13–8 | 0.02 | 12% | 26 Aug → | |
| mirage | 13–16 | 0.08 | 21% | 9 Aug → | |
| dust2 | 6–13 | -0.03 | 14% | 9 Aug → | |
| dust2 | 14–16 | 0.01 | 11% | 9 Aug → | |
| dust2 | 13–6 | 0.09 | 11% | 5 Aug → | |
| mirage | 11–13 | -0.04 | 13% | 5 Aug → | |
| nuke | 13–5 | 0.03 | 9% | 4 Aug → | |
| ancient | 13–6 | -0.07 | 13% | 2 Aug → | |
| inferno | 15–15 | -0.01 | 15% | 29 Jul → | |
| mirage | 16–14 | 0.05 | 18% | 29 Jul → | |
| dust2 | 13–16 | 0.05 | 28% | 28 Jul → | |
| inferno | 10–13 | 0.09 | 32% | 20 Jul → | |
| dust2 | 13–8 | 0.03 | 32% | 20 Jul → | |
| mirage | 10–13 | 0.05 | 20% | 19 Jul → | |
| cache | 16–12 | 0.10 | 19% | 19 Jul → | |
| cache | 0–13 | 0.00 | 0% | 16 Jul → | |
| cache | 2–3 | 0.22 | 35% | 15 Jul → | |
| mirage | 14–16 | -0.02 | 22% | 14 Jul → | |
| dust2 | 7–13 | -0.03 | 10% | 14 Jul → | |
| cache | 13–5 | 0.02 | 7% | 13 Jul → | |
| nuke | 13–3 | 0.14 | 27% | 13 Jul → | |
| dust2 | 8–13 | -0.02 | 9% | 22 Jun → | |
| nuke | 8–13 | 0.02 | 28% | 21 Jun → | |
| train | 6–13 | 0.00 | 20% | 21 Jun → | |
| dust2 | 9–13 | 0.05 | 11% | 21 Jun → | |
| cache | 6–13 | 0.02 | 8% | 20 Jun → | |
| nuke | 13–3 | 0.18 | 20% | 20 Jun → | |
| dust2 | 13–7 | 0.10 | 32% | 20 Jun → | |
| mirage | 4–13 | 0.03 | 12% | 20 Jun → | |
| dust2 | 13–3 | -0.01 | 14% | 20 Jun → | |
| cache | 13–10 | 0.14 | 24% | 19 Jun → | |
| mirage | 9–13 | 0.00 | 20% | 15 Jun → | |
| dust2 | 4–13 | -0.09 | 44% | 10 Jun → | |
| dust2 | 13–4 | 0.06 | 26% | 6 Jun → | |
| inferno | 13–6 | -0.00 | 24% | 6 Jun → | |
| mirage | 13–5 | -0.01 | 11% | 5 Jun → | |
| cache | 13–9 | 0.03 | 8% | 18 May → | |
| ancient | 11–13 | 0.00 | 15% | 18 May → | |
| overpass | 13–5 | 0.07 | 12% | 18 May → | |
| dust2 | 10–13 | -0.03 | 24% | 18 May → | |
| nuke | 16–14 | 0.01 | 19% | 17 May → | |
| cache | 13–10 | 0.09 | 19% | 17 May → | |
| inferno | 7–13 | 0.05 | 23% | 17 May → | |
| cache | 9–13 | 0.02 | 24% | 17 May → | |
| mirage | 8–13 | -0.04 | 13% | 17 May → | |
| overpass | 11–13 | 0.04 | 14% | 16 May → | |
| dust2 | 6–13 | -0.03 | 19% | 16 May → | |
| dust2 | 6–13 | -0.03 | 16% | 16 May → | |
| mirage | 13–9 | -0.00 | 17% | 16 May → | |
| ancient | 12–12 | 0.01 | 18% | 15 May → | |
| cache | 3–13 | -0.06 | 14% | 15 May → | |
| cache | 13–5 | 0.08 | 18% | 15 May → | |
| ancient | 13–5 | 0.03 | 23% | 13 May → | |
| mirage | 13–5 | 0.01 | 24% | 13 May → | |
| inferno | 13–11 | -0.02 | 17% | 13 May → | |
| cache | 4–13 | -0.02 | 22% | 13 May → | |
| dust2 | 13–6 | 0.00 | 27% | 13 May → | |
| cache | 13–10 | 0.04 | 26% | 12 May → | |
| cache | 9–13 | -0.03 | 25% | 12 May → | |
| overpass | 7–13 | -0.01 | 10% | 12 May → | |
| dust2 | 13–8 | 0.06 | 22% | 12 May → | |
| ancient | 6–13 | -0.01 | 8% | 12 May → | |
| cache | 13–11 | -0.02 | 14% | 10 May → | |
| cache | 13–9 | -0.02 | 16% | 10 May → | |
| cache | 10–13 | -0.05 | 24% | 10 May → | |
| dust2 | 13–7 | -0.03 | 14% | 9 May → | |
| dust2 | 13–4 | -0.03 | 17% | 9 May → | |
| cache | 13–10 | 0.01 | 24% | 9 May → | |
| cache | 12–12 | 0.02 | 26% | 8 May → | |
| cache | 13–10 | -0.01 | 14% | 8 May → | |
| cache | 13–11 | 0.03 | 11% | 8 May → | |
| mirage | 7–13 | -0.04 | 17% | 7 May → | |
| cache | 12–12 | 0.00 | 18% | 4 May → | |
| cache | 7–13 | 0.01 | 25% | 3 May → | |
| cache | 6–13 | -0.00 | 39% | 3 May → | |
| cache | 13–7 | -0.02 | 13% | 3 May → | |
| cache | 13–8 | -0.04 | 18% | 3 May → | |
| cache | 13–6 | 0.02 | 26% | 3 May → | |
| cache | 13–4 | 0.09 | 31% | 2 May → | |
| cache | 8–13 | 0.08 | 26% | 2 May → | |
| cache | 12–12 | -0.02 | 13% | 2 May → | |
| cache | 13–9 | 0.03 | 17% | 2 May → | |
| cache | 13–10 | -0.03 | 19% | 2 May → | |
| cache | 12–12 | 0.05 | 18% | 2 May → | |
| cache | 13–10 | -0.04 | 19% | 1 May → | |
| cache | 13–10 | 0.03 | 29% | 1 May → | |
| cache | 9–13 | -0.04 | 23% | 1 May → | |
| cache | 12–12 | 0.01 | 20% | 1 May → | |
| cache | 13–9 | 0.09 | 24% | 30 Apr → | |
| cache | 13–4 | 0.00 | 13% | 30 Apr → | |
| cache | 13–7 | -0.00 | 31% | 30 Apr → | |
| cache | 13–10 | 0.05 | 27% | 30 Apr → | |
| cache | 12–12 | -0.01 | 33% | 29 Apr → | |
| cache | 12–12 | 0.05 | 28% | 29 Apr → | |
| cache | 13–8 | -0.01 | 14% | 29 Apr → | |
| cache | 13–6 | 0.03 | 16% | 29 Apr → | |
| cache | 10–13 | 0.06 | 16% | 29 Apr → |
Match data via Leetify.
