Jay Fernie

Jay Fernie — CS2 Stats

AU76561198065373860[U:1:105108132]Steam profile ↗

271Tracked matches56%Win rate2023Tracked since
534Hours in CS2Hrs last 2 wks
CSDB Rating4.6 Developing
Premier CS Rating7,527Light Blue band · top ~66.7% of ranked players (population est.)
CSDB Leaderboard#31548 of 42131 tracked
Ladder ranks via Leetify

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.

MetricThis playerLight Blue band medianBlue band medianvs Blue band
Headshot rate32.9%39.7%41.4%8.5% short
Shot accuracy3.8%6.7%9.0%5.2% short
Kill/death ratio0.700.910.970.28 short
Match win rate38.0%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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CSDB.GGJay FerniePREMIER7,527 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim56
Positioning49
Utility49

0–100 skill scores via Leetify.

Recent form

HOT51454Last 10051%Win rateWWWLWWWWTL

Last 10 vs previous 10: +40pp win rate · +0.00 avg rating

Player DNA

Aim5.6
Aggression6.3
Utility4.9
Positioning4.9
Opening Duels1.7

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

Twistzz

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

Aim5.6
Positioning4.9
Utility4.9
Mechanics5.7
Opening Duels1.7
Win Impact6.9

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

Match rating0.03+0.04
first ⅓ avg -0.02 → last ⅓ avg 0.03
Reaction time623ms−63ms
first ⅓ avg 685ms → last ⅓ avg 623ms
Headshot accuracy19.3%+9.0%
first ⅓ avg 10.3% → last ⅓ avg 19.3%

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

0.23Best rating — dust2 13–4
131Biggest win — dust2
8Longest win streak
W3Current streak
125In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 75% over 16dust2Weakest map · 35% over 23
MapGradePlayedRecordWin rateAvg rating
dust2C2381535%-0.02
infernoA1912763%0.00
mirageC1761135%-0.02
nukeS1612475%0.03
cacheB84450%0.02
ancientS64267%0.03
overpass41325%-0.03
anubis21150%-0.02
office21150%-0.01
vertigo21150%-0.01
train110100%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

8,090Lifetime kills
0.70K/D
731Matches
38.0%Match win rate
32.9%Headshot %
3.8%Shot accuracy
624MVPs
197Hours (in match)
365Bombs planted
71Bombs defused

Most-used weapons

Lifetime map wins

882dust2
740inferno
447nuke
91train
51lake
49vertigo
30bank
29safehouse

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.

19.8%Headshot accuracy
33.5%Accuracy (enemy spotted)
36.5%Spray accuracy
75.8%Counter-strafing
12.3°Preaim
621msReaction time
35.8%T opening success
38.0%CT opening success
0.39Enemies flashed / flash
7.0%Flash assists
10.84HE damage / grenade
11.33Flashes / match

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.

  1. Advanced Mechanics

    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

    Aim Training
  2. Grenades & Utility

    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

    Grenade Lineups
Spend your practice time on Dust 2

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.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–100.1021%29 Aug
ancient16–120.0739%21 Aug
nuke13–20.0117%6 Aug
dust22–130.0318%27 Jul
ancient13–60.0419%26 Jul
cache13–70.1623%26 Jul
cache16–14-0.0328%20 Jul
nuke13–30.0547%20 Jul
dust215–15-0.0210%20 Jul
ancient2–13-0.0825%19 Jul
inferno7–13-0.0610%19 Jul
nuke6–130.0123%19 Jul
dust27–13-0.0410%19 Jul
ancient16–140.0825%19 Jul
cache13–50.0416%18 Jul
inferno6–130.0727%18 Jul
mirage8–130.0648%17 Jul
dust21–13-0.0224%17 Jul
inferno13–60.0928%17 Jul
cache15–150.0617%17 Jul
nuke13–60.057%11 Jul
inferno13–9-0.0010%11 Jul
cache9–13-0.018%11 Jul
inferno11–13-0.0716%11 Jul
nuke9–13-0.009%10 Jul
inferno16–14-0.037%26 Jun
inferno12–120.1325%2 Jun
inferno13–6-0.0222%31 May
nuke13–100.1516%30 May
cache11–13-0.019%8 May
cache2–13-0.0415%8 May
inferno13–50.0513%5 May
cache13–110.007%29 Apr
nuke13–70.0613%27 Apr
mirage11–13-0.037%27 Apr
anubis9–13-0.0311%25 Apr
mirage1–13-0.1013%25 Apr
inferno13–40.0812%23 Apr
mirage13–8-0.060%23 Apr
dust216–12-0.0214%20 Apr
dust28–13-0.0110%20 Apr
mirage13–6-0.0012%18 Apr
mirage13–7-0.0113%18 Apr
inferno13–50.0811%18 Apr
overpass16–130.035%12 Apr
nuke13–70.1419%7 Apr
inferno13–9-0.0124%6 Apr
inferno13–11-0.015%2 Apr
mirage13–30.0515%29 Mar
dust25–13-0.0918%28 Mar
dust23–13-0.0914%27 Mar
dust212–160.015%25 Mar
ancient4–13-0.0614%24 Mar
dust215–15-0.046%21 Mar
nuke13–30.045%21 Mar
office13–11-0.010%18 Mar
office8–13-0.0115%18 Mar
inferno10–13-0.0611%18 Mar
overpass9–13-0.0611%12 Mar
nuke13–4-0.0716%8 Mar
dust213–110.0110%7 Mar
mirage13–10-0.0317%7 Mar
dust29–13-0.076%7 Mar
mirage14–16-0.0110%2 Mar
mirage11–13-0.095%1 Mar
nuke13–50.0320%26 Feb
dust210–13-0.0017%22 Feb
dust213–10.018%22 Feb
nuke13–11-0.032%22 Feb
dust23–13-0.1011%22 Feb
dust213–40.2321%21 Feb
nuke13–70.0718%21 Feb
mirage8–130.036%20 Feb
vertigo5–13-0.027%17 Feb
vertigo13–80.016%15 Feb
inferno7–13-0.099%14 Feb
mirage9–13-0.090%14 Feb
dust213–9-0.0919%13 Feb
dust29–13-0.1012%13 Feb
mirage5–13-0.0621%12 Feb
dust29–13-0.1111%12 Feb
mirage2–13-0.0615%12 Feb
dust26–13-0.0513%9 Feb
mirage9–130.066%8 Feb
inferno0–13-0.110%7 Feb
nuke3–13-0.0714%7 Feb
inferno16–14-0.0111%7 Feb
inferno13–8-0.035%6 Feb
overpass2–13-0.0214%5 Feb
overpass12–16-0.0613%31 Jan
dust213–110.0112%31 Jan
dust213–110.087%31 Jan
dust213–70.0213%26 Jan
nuke3–13-0.045%26 Jan
nuke13–80.0710%24 Jan
mirage4–13-0.0010%23 Jan
anubis13–9-0.018%22 Jan
train13–30.048%18 Jan
mirage13–4-0.0014%18 Jan
inferno13–110.0011%17 Jan

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →