Jay Fernie — CS2 Stats
AU76561198065373860[U:1:105108132]Steam profile ↗
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=917), 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 | Light Blue band median | Blue band median | vs Blue band |
|---|---|---|---|---|
| Headshot rate | 32.9% | 39.7% | 41.4% | 8.5% short |
| Shot accuracy | 3.8% | 6.7% | 9.0% | 5.2% short |
| Kill/death ratio | 0.70 | 0.91 | 0.97 | 0.28 short |
| Match win rate | 38.0% | 42.1% | 43.7% | 5.7% short |
This profile sits below the typical Blue band player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Blue 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: +40pp 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 Twistzz 84% 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. 621ms 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 4.6/10 (Developing), 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 | 23 | 8–15 | 35% | -0.02 | |
| A | 19 | 12–7 | 63% | 0.00 | |
| C | 17 | 6–11 | 35% | -0.02 | |
| S | 16 | 12–4 | 75% | 0.03 | |
| B | 8 | 4–4 | 50% | 0.02 | |
| S | 6 | 4–2 | 67% | 0.03 | |
| — | 4 | 1–3 | 25% | -0.03 | |
| — | 2 | 1–1 | 50% | -0.02 | |
| office | — | 2 | 1–1 | 50% | -0.01 |
| — | 2 | 1–1 | 50% | -0.01 | |
| — | 1 | 1–0 | 100% | 0.04 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (35% over 23). 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.
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 12.3026° — 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 0.3929 — 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.
35% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.10 | 21% | 29 Aug → | ||
| 16–12 | 0.07 | 39% | 21 Aug → | ||
| 13–2 | 0.01 | 17% | 6 Aug → | ||
| 2–13 | 0.03 | 18% | 27 Jul → | ||
| 13–6 | 0.04 | 19% | 26 Jul → | ||
| 13–7 | 0.16 | 23% | 26 Jul → | ||
| 16–14 | -0.03 | 28% | 20 Jul → | ||
| 13–3 | 0.05 | 47% | 20 Jul → | ||
| 15–15 | -0.02 | 10% | 20 Jul → | ||
| 2–13 | -0.08 | 25% | 19 Jul → | ||
| 7–13 | -0.06 | 10% | 19 Jul → | ||
| 6–13 | 0.01 | 23% | 19 Jul → | ||
| 7–13 | -0.04 | 10% | 19 Jul → | ||
| 16–14 | 0.08 | 25% | 19 Jul → | ||
| 13–5 | 0.04 | 16% | 18 Jul → | ||
| 6–13 | 0.07 | 27% | 18 Jul → | ||
| 8–13 | 0.06 | 48% | 17 Jul → | ||
| 1–13 | -0.02 | 24% | 17 Jul → | ||
| 13–6 | 0.09 | 28% | 17 Jul → | ||
| 15–15 | 0.06 | 17% | 17 Jul → | ||
| 13–6 | 0.05 | 7% | 11 Jul → | ||
| 13–9 | -0.00 | 10% | 11 Jul → | ||
| 9–13 | -0.01 | 8% | 11 Jul → | ||
| 11–13 | -0.07 | 16% | 11 Jul → | ||
| 9–13 | -0.00 | 9% | 10 Jul → | ||
| 16–14 | -0.03 | 7% | 26 Jun → | ||
| 12–12 | 0.13 | 25% | 2 Jun → | ||
| 13–6 | -0.02 | 22% | 31 May → | ||
| 13–10 | 0.15 | 16% | 30 May → | ||
| 11–13 | -0.01 | 9% | 8 May → | ||
| 2–13 | -0.04 | 15% | 8 May → | ||
| 13–5 | 0.05 | 13% | 5 May → | ||
| 13–11 | 0.00 | 7% | 29 Apr → | ||
| 13–7 | 0.06 | 13% | 27 Apr → | ||
| 11–13 | -0.03 | 7% | 27 Apr → | ||
| 9–13 | -0.03 | 11% | 25 Apr → | ||
| 1–13 | -0.10 | 13% | 25 Apr → | ||
| 13–4 | 0.08 | 12% | 23 Apr → | ||
| 13–8 | -0.06 | 0% | 23 Apr → | ||
| 16–12 | -0.02 | 14% | 20 Apr → | ||
| 8–13 | -0.01 | 10% | 20 Apr → | ||
| 13–6 | -0.00 | 12% | 18 Apr → | ||
| 13–7 | -0.01 | 13% | 18 Apr → | ||
| 13–5 | 0.08 | 11% | 18 Apr → | ||
| 16–13 | 0.03 | 5% | 12 Apr → | ||
| 13–7 | 0.14 | 19% | 7 Apr → | ||
| 13–9 | -0.01 | 24% | 6 Apr → | ||
| 13–11 | -0.01 | 5% | 2 Apr → | ||
| 13–3 | 0.05 | 15% | 29 Mar → | ||
| 5–13 | -0.09 | 18% | 28 Mar → | ||
| 3–13 | -0.09 | 14% | 27 Mar → | ||
| 12–16 | 0.01 | 5% | 25 Mar → | ||
| 4–13 | -0.06 | 14% | 24 Mar → | ||
| 15–15 | -0.04 | 6% | 21 Mar → | ||
| 13–3 | 0.04 | 5% | 21 Mar → | ||
| office | 13–11 | -0.01 | 0% | 18 Mar → | |
| office | 8–13 | -0.01 | 15% | 18 Mar → | |
| 10–13 | -0.06 | 11% | 18 Mar → | ||
| 9–13 | -0.06 | 11% | 12 Mar → | ||
| 13–4 | -0.07 | 16% | 8 Mar → | ||
| 13–11 | 0.01 | 10% | 7 Mar → | ||
| 13–10 | -0.03 | 17% | 7 Mar → | ||
| 9–13 | -0.07 | 6% | 7 Mar → | ||
| 14–16 | -0.01 | 10% | 2 Mar → | ||
| 11–13 | -0.09 | 5% | 1 Mar → | ||
| 13–5 | 0.03 | 20% | 26 Feb → | ||
| 10–13 | -0.00 | 17% | 22 Feb → | ||
| 13–1 | 0.01 | 8% | 22 Feb → | ||
| 13–11 | -0.03 | 2% | 22 Feb → | ||
| 3–13 | -0.10 | 11% | 22 Feb → | ||
| 13–4 | 0.23 | 21% | 21 Feb → | ||
| 13–7 | 0.07 | 18% | 21 Feb → | ||
| 8–13 | 0.03 | 6% | 20 Feb → | ||
| 5–13 | -0.02 | 7% | 17 Feb → | ||
| 13–8 | 0.01 | 6% | 15 Feb → | ||
| 7–13 | -0.09 | 9% | 14 Feb → | ||
| 9–13 | -0.09 | 0% | 14 Feb → | ||
| 13–9 | -0.09 | 19% | 13 Feb → | ||
| 9–13 | -0.10 | 12% | 13 Feb → | ||
| 5–13 | -0.06 | 21% | 12 Feb → | ||
| 9–13 | -0.11 | 11% | 12 Feb → | ||
| 2–13 | -0.06 | 15% | 12 Feb → | ||
| 6–13 | -0.05 | 13% | 9 Feb → | ||
| 9–13 | 0.06 | 6% | 8 Feb → | ||
| 0–13 | -0.11 | 0% | 7 Feb → | ||
| 3–13 | -0.07 | 14% | 7 Feb → | ||
| 16–14 | -0.01 | 11% | 7 Feb → | ||
| 13–8 | -0.03 | 5% | 6 Feb → | ||
| 2–13 | -0.02 | 14% | 5 Feb → | ||
| 12–16 | -0.06 | 13% | 31 Jan → | ||
| 13–11 | 0.01 | 12% | 31 Jan → | ||
| 13–11 | 0.08 | 7% | 31 Jan → | ||
| 13–7 | 0.02 | 13% | 26 Jan → | ||
| 3–13 | -0.04 | 5% | 26 Jan → | ||
| 13–8 | 0.07 | 10% | 24 Jan → | ||
| 4–13 | -0.00 | 10% | 23 Jan → | ||
| 13–9 | -0.01 | 8% | 22 Jan → | ||
| 13–3 | 0.04 | 8% | 18 Jan → | ||
| 13–4 | -0.00 | 14% | 18 Jan → | ||
| 13–11 | 0.00 | 11% | 17 Jan → |
Match data via Leetify.