Fergie-Time — CS2 Stats

76561198173851711[U:1:213585983]

261Tracked matches36%Win rate2020Tracked since
1,084Hours in CS3Hrs last 2 wks
CSDB Rating4.9 DevelopingClutch Specialist
FaceitLevel 2 · 734 ELOTop 97.9% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), 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 playerLevel 2 medianLevel 3 medianvs Level 3
Headshot rate52.9%42.1%42.1%above
Shot accuracy19.4%12.9%12.1%above
Kill/death ratio0.971.000.990.02 short
Match win rate40.0%42.9%43.9%3.9% short

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFergie-TimeFACEITLevel 2 · 734 ELOSTANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim78
Positioning48
Utility47

0–100 skill scores via Leetify.

Recent form

COLD42517Last 10042%Win rateLLLLLWWLLW

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

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim7.8
Aggression5.3
Utility4.7
Positioning4.8
Opening Duels2.1
Clutch10.0

Reliable in 1v1s

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

NiKo

Plays most like NiKo 90% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 685ms 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

Aim7.8
Positioning4.8
Utility4.7
Mechanics7.9
Opening Duels2.1
Win Impact0.2

Composite 4.9/10 (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 rating-0.02−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time702ms+48ms
first ⅓ avg 654ms → last ⅓ avg 702ms
Headshot accuracy27.7%−1.6%
first ⅓ avg 29.3% → last ⅓ avg 27.7%

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

0.17Best rating — inferno 9–2
133Biggest win — mirage
6Longest win streak
L5Current streak
108In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 52% over 25nukeWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC27121544%-0.02
infernoB25131252%0.01
anubisC1661038%-0.02
ancientD93633%-0.03
nukeD81713%-0.03
dust2C73443%-0.02
vertigo4040%-0.04
overpass220100%0.06
cache220100%-0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

33,857Lifetime kills
0.97K/D
1,815Matches
40.0%Match win rate
52.9%Headshot % · Top 25% of Level 2 players
19.4%Shot accuracy · Top 10% of Level 2 players
5,665MVPs
619Hours (in match)
1,264Bombs planted
494Bombs defused

Most-used weapons

Lifetime map wins

3,522inferno
1,372vertigo
923dust2
914cbble
433nuke
320train
148lake
21safehouse

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

44Matches
50%Win rate
1.16Avg K/D
57.3ADR
46%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno250%0.465.5
Vertigo10%0.477.0
Mirage10%0.6210.0
Overpass1100%0.7710.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

27.6%Headshot accuracy
35.7%Accuracy (enemy spotted)
35.9%Spray accuracy
85.5%Counter-strafing
9.5°Preaim
685msReaction time
40.0%T opening success
36.9%CT opening success
0.67Enemies flashed / flash
3.9%Flash assists
8.74HE damage / grenade
6.74Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.8868% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis11–13-0.0730%27 Aug
nuke11–130.0038%27 Aug
anubis2–13-0.0548%27 Aug
mirage5–13-0.0026%25 Jul
ancient2–13-0.089%25 Jul
inferno13–60.0324%16 Jul
anubis13–100.0131%16 Jul
mirage11–130.0226%16 Jul
mirage5–13-0.0243%16 Jul
inferno13–90.0527%16 Jul
vertigo8–80.0644%12 Jul
vertigo5–13-0.0729%6 Jul
inferno7–9-0.0530%6 Jul
nuke13–80.0344%5 Jul
dust213–4-0.0120%5 Jul
inferno14–160.0232%4 Jul
mirage8–13-0.0510%12 Jun
dust23–13-0.059%12 Jun
anubis13–9-0.0522%11 Jun
inferno8–10.0931%11 Jun
ancient0–13-0.0824%11 Jun
mirage16–120.0131%9 Jun
mirage15–15-0.0334%9 Jun
anubis15–15-0.0327%9 Jun
overpass13–11-0.0128%9 Jun
inferno9–130.0129%9 Jun
nuke11–13-0.0813%6 Jun
nuke6–13-0.1132%3 Jun
mirage3–13-0.0618%3 Jun
mirage2–130.0424%27 May
mirage7–13-0.0838%27 May
mirage13–10-0.0121%26 May
dust213–110.0422%26 May
inferno13–8-0.0620%26 May
mirage13–11-0.0632%18 May
inferno8–13-0.0227%18 May
ancient8–13-0.0420%18 May
mirage8–130.0029%17 May
nuke9–13-0.0426%17 May
overpass9–60.1320%17 May
inferno5–13-0.0437%15 May
anubis10–130.0934%13 May
ancient5–13-0.0521%13 May
anubis13–7-0.0513%13 May
ancient16–14-0.0621%11 May
mirage13–8-0.0517%11 May
anubis13–40.0229%11 May
inferno16–14-0.0233%11 May
mirage13–3-0.0821%11 May
mirage9–13-0.0428%4 May
anubis10–130.0125%4 May
inferno9–20.1756%4 May
mirage13–10-0.0336%4 May
anubis13–100.0129%3 May
ancient4–13-0.0232%3 May
mirage11–13-0.0137%3 May
anubis8–13-0.0032%3 May
inferno5–9-0.0758%3 May
cache13–11-0.0729%2 May
cache4–1-0.0714%1 May
inferno7–13-0.0235%26 Apr
nuke7–13-0.0518%26 Apr
mirage13–6-0.0439%19 Apr
mirage13–8-0.0325%19 Apr
inferno8–130.0230%18 Apr
anubis15–150.0125%15 Apr
anubis6–13-0.0523%12 Apr
ancient13–30.0223%12 Apr
dust24–13-0.090%12 Apr
mirage15–15-0.0313%11 Apr
inferno16–140.0040%11 Apr
inferno13–8-0.0330%8 Apr
inferno13–11-0.0133%8 Apr
ancient13–90.0130%8 Apr
vertigo0–9-0.1113%8 Apr
inferno12–160.0235%6 Apr
mirage13–30.0129%6 Apr
mirage13–6-0.0241%5 Apr
inferno13–70.0330%5 Apr
nuke5–9-0.0348%1 Apr
mirage13–9-0.0147%25 Mar
anubis13–110.0348%25 Mar
dust210–13-0.0110%18 Mar
mirage13–3-0.0533%18 Mar
ancient2–130.0137%18 Mar
inferno13–9-0.0140%18 Mar
dust27–130.0023%13 Mar
mirage8–13-0.0330%11 Mar
inferno13–10-0.0224%10 Mar
mirage7–13-0.0021%10 Mar
inferno9–13-0.0125%10 Mar
nuke11–130.0036%10 Mar
inferno9–70.0829%10 Mar
inferno4–13-0.1210%9 Mar
anubis8–13-0.0930%9 Mar
vertigo12–12-0.0336%8 Mar
mirage9–130.0130%8 Mar
dust213–5-0.0133%8 Mar
inferno8–80.0837%8 Mar
anubis2–13-0.0922%7 Mar

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 →