ImFryd — CS2 Stats
NE76561198954875475[U:1:994609747]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=2,789), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 30.3% | 44.1% | 47.2% | 16.9% short |
| Shot accuracy | 17.1% | 11.4% | 12.7% | above |
| Kill/death ratio | 1.56 | 1.03 | 1.09 | above |
| Match win rate | 51.0% | 45.2% | 46.6% | above |
This profile matches the typical Pink band player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. 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: -20pp win rate · -0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Effective flashesLimited utility dependence
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 b1t 89% playstyle similarity
Most alike: positioning profile, 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 →
CSDB Rating breakdown
Composite 5.6/10 (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 |
|---|---|---|---|---|---|
| A | 48 | 27–21 | 56% | 0.02 | |
| B | 11 | 5–6 | 45% | 0.01 | |
| S | 10 | 7–3 | 70% | -0.03 | |
| C | 9 | 4–5 | 44% | -0.00 | |
| A | 8 | 5–3 | 63% | 0.02 | |
| D | 8 | 2–6 | 25% | -0.01 | |
| A | 5 | 3–2 | 60% | 0.01 | |
| debris | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient 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.
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 | |
|---|---|---|---|---|---|
| 13–10 | 0.03 | 19% | 29 Aug → | ||
| 13–3 | 0.17 | 16% | 29 Aug → | ||
| 5–13 | -0.06 | 11% | 29 Aug → | ||
| 13–7 | 0.06 | 14% | 28 Aug → | ||
| 7–13 | 0.02 | 16% | 28 Aug → | ||
| 7–3 | 0.01 | 13% | 28 Aug → | ||
| 15–15 | -0.02 | 27% | 28 Aug → | ||
| 9–13 | -0.05 | 18% | 28 Aug → | ||
| 10–13 | -0.04 | 23% | 28 Aug → | ||
| 0–13 | -0.12 | 33% | 28 Aug → | ||
| 13–7 | 0.06 | 19% | 28 Aug → | ||
| 12–16 | 0.04 | 19% | 28 Aug → | ||
| 14–16 | 0.02 | 12% | 27 Aug → | ||
| 13–0 | 0.22 | 19% | 26 Aug → | ||
| 9–13 | 0.01 | 10% | 26 Aug → | ||
| 13–11 | -0.01 | 27% | 25 Aug → | ||
| 4–13 | 0.00 | 22% | 25 Aug → | ||
| 13–10 | 0.06 | 20% | 25 Aug → | ||
| 13–7 | 0.04 | 21% | 25 Aug → | ||
| 13–7 | -0.00 | 19% | 25 Aug → | ||
| 11–13 | -0.01 | 13% | 25 Aug → | ||
| 8–13 | -0.03 | 8% | 25 Aug → | ||
| 11–13 | -0.05 | 11% | 25 Aug → | ||
| 6–13 | -0.03 | 19% | 25 Aug → | ||
| 9–3 | 0.05 | 21% | 23 Aug → | ||
| debris | 8–8 | -0.01 | 15% | 23 Aug → | |
| 10–13 | -0.02 | 19% | 22 Aug → | ||
| 10–13 | 0.05 | 17% | 22 Aug → | ||
| 10–13 | 0.00 | 8% | 19 Aug → | ||
| 9–13 | -0.03 | 8% | 19 Aug → | ||
| 13–8 | -0.00 | 13% | 19 Aug → | ||
| 13–2 | 0.07 | 0% | 19 Aug → | ||
| 13–6 | 0.06 | 9% | 19 Aug → | ||
| 11–13 | 0.01 | 10% | 19 Aug → | ||
| 9–13 | 0.03 | 14% | 19 Aug → | ||
| 6–13 | -0.04 | 28% | 18 Aug → | ||
| 13–4 | 0.07 | 33% | 18 Aug → | ||
| 13–6 | -0.02 | 13% | 18 Aug → | ||
| 13–7 | 0.05 | 7% | 17 Aug → | ||
| 13–3 | -0.06 | 14% | 17 Aug → | ||
| 12–16 | 0.01 | 12% | 17 Aug → | ||
| 13–6 | 0.08 | 15% | 17 Aug → | ||
| 10–13 | -0.02 | 7% | 17 Aug → | ||
| 13–16 | 0.03 | 14% | 17 Aug → | ||
| 13–11 | 0.07 | 9% | 17 Aug → | ||
| 13–8 | -0.04 | 4% | 16 Aug → | ||
| 13–9 | -0.00 | 13% | 15 Aug → | ||
| 8–13 | -0.10 | 10% | 15 Aug → | ||
| 13–7 | 0.06 | 19% | 15 Aug → | ||
| 3–13 | -0.07 | 5% | 15 Aug → | ||
| 13–6 | -0.02 | 17% | 15 Aug → | ||
| 9–8 | 0.05 | 9% | 14 Aug → | ||
| 12–12 | -0.05 | 29% | 14 Aug → | ||
| 13–6 | -0.03 | 7% | 14 Aug → | ||
| 13–9 | 0.03 | 11% | 13 Aug → | ||
| 8–2 | 0.02 | 14% | 13 Aug → | ||
| 7–13 | -0.01 | 8% | 13 Aug → | ||
| 13–9 | -0.03 | 26% | 13 Aug → | ||
| 13–8 | 0.02 | 17% | 12 Aug → | ||
| 13–9 | 0.07 | 17% | 12 Aug → | ||
| 9–13 | -0.08 | 11% | 12 Aug → | ||
| 13–8 | -0.00 | 12% | 12 Aug → | ||
| 8–13 | -0.01 | 15% | 12 Aug → | ||
| 13–11 | -0.00 | 13% | 10 Aug → | ||
| 6–13 | -0.06 | 18% | 10 Aug → | ||
| 13–2 | 0.06 | 8% | 10 Aug → | ||
| 13–1 | 0.12 | 20% | 10 Aug → | ||
| 6–13 | -0.07 | 6% | 10 Aug → | ||
| 4–13 | -0.09 | 17% | 10 Aug → | ||
| 13–11 | 0.02 | 16% | 9 Aug → | ||
| 13–6 | 0.05 | 26% | 8 Aug → | ||
| 15–15 | -0.06 | 8% | 6 Aug → | ||
| 4–13 | 0.03 | 47% | 6 Aug → | ||
| 13–8 | 0.04 | 14% | 3 Aug → | ||
| 13–4 | 0.01 | 26% | 2 Aug → | ||
| 13–11 | -0.00 | 21% | 2 Aug → | ||
| 13–4 | -0.05 | 12% | 1 Aug → | ||
| 3–13 | -0.01 | 24% | 1 Aug → | ||
| 13–8 | 0.05 | 13% | 29 Jul → | ||
| 13–5 | 0.08 | 26% | 28 Jul → | ||
| 13–10 | 0.01 | 21% | 26 Jul → | ||
| 13–8 | 0.02 | 17% | 25 Jul → | ||
| 13–10 | 0.07 | 20% | 25 Jul → | ||
| 13–6 | 0.04 | 19% | 24 Jul → | ||
| 10–13 | -0.01 | 14% | 24 Jul → | ||
| 15–15 | -0.03 | 11% | 23 Jul → | ||
| 9–13 | 0.02 | 11% | 23 Jul → | ||
| 7–13 | -0.03 | 17% | 23 Jul → | ||
| 16–14 | 0.00 | 12% | 22 Jul → | ||
| 13–11 | 0.05 | 10% | 22 Jul → | ||
| 13–6 | 0.08 | 20% | 21 Jul → | ||
| 13–11 | -0.00 | 20% | 21 Jul → | ||
| 15–15 | -0.03 | 12% | 21 Jul → | ||
| 10–13 | 0.02 | 16% | 21 Jul → | ||
| 13–3 | 0.05 | 13% | 20 Jul → | ||
| 15–15 | -0.03 | 8% | 20 Jul → | ||
| 9–13 | -0.02 | 8% | 20 Jul → | ||
| 13–0 | 0.02 | 13% | 20 Jul → | ||
| 13–1 | 0.10 | 21% | 18 Jul → | ||
| 10–13 | -0.01 | 17% | 18 Jul → |
Match data via Leetify.