FatBoy2Fear — CS2 Stats

76561198857926892[U:1:897661164]✓ No bans

551Tracked matches63%Win rate2025Tracked since
645Hours in CS25Hrs last 2 wks
CSDB Rating3.8 Learning
Premier CS Rating3,038Grey band · top ~87.1% of ranked players (population est.)
CSDB Leaderboard#27045 of 34622 tracked
WingmanSilver Elite Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=404), 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 medianvs Light Blue band
Headshot rate30.6%40.1%9.4% short
Shot accuracy0.0%7.6%7.6% short
Kill/death ratio0.800.920.12 short
Match win rate37.5%42.2%4.7% short

This profile sits below the typical Light Blue band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Light 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.GGFatBoy2FearPREMIER3,038 · Grey bandcsdb.gg/stats

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Performance scores

Aim25
Positioning59
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY50455Last 10050%Win rateLWWWWLWLWL

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Aim2.5
Aggression8.6
Utility4.2
Positioning5.9
Opening Duels3.8

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

ropz

Plays most like ropz 79% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: higher opening-fight frequency; 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

Strengths

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 692ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.5
Positioning5.9
Utility4.2
Mechanics2.4
Opening Duels3.8
Win Impact9.4

Composite 3.8/10 (Learning), 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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time708ms−147ms
first ⅓ avg 855ms → last ⅓ avg 708ms
Headshot accuracy8.9%−2.8%
first ⅓ avg 11.6% → last ⅓ avg 8.9%

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

0.13Best rating — nuke 16–13
133Biggest win — dust2
5Longest win streak
96In matches decided by ≤2 rounds
13Overtime games

Map breakdown

mirageBest map · 63% over 24anubisWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B39192049%-0.00
mirageA2415963%0.01
nukeB147750%0.00
infernoB84450%-0.05
anubisC52340%-0.02
cache32167%0.04
ancient2020%-0.00
vertigo21150%-0.03
office2020%-0.04
overpass1010%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,232Lifetime kills
0.80K/D
899Matches
37.5%Match win rate
30.6%Headshot %
0.0%Shot accuracy
1,389MVPs
311Hours (in match)
1,314Bombs planted
175Bombs defused

Most-used weapons

Lifetime map wins

2,933dust2
1,164nuke
685inferno
78train
57vertigo
27office
10ar_shoots
4ar_baggage

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.

9.3%Headshot accuracy
28.3%Accuracy (enemy spotted)
44.0%Spray accuracy
60.9%Counter-strafing
11.5°Preaim
692msReaction time
43.7%T opening success
47.1%CT opening success
0.78Enemies flashed / flash
5.7%Flash assists
6.99HE damage / grenade
5.50Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 9.2985% — below the 15% mark we flag

    Aim Training
Spend your practice time on Anubis

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient9–13-0.037%29 Aug
anubis13–9-0.008%28 Aug
mirage16–14-0.0110%28 Aug
mirage6–50.0810%28 Aug
inferno9–7-0.036%28 Aug
dust25–13-0.004%27 Aug
dust213–100.0216%27 Aug
vertigo2–6-0.065%27 Aug
dust216–130.018%26 Aug
anubis10–13-0.022%26 Aug
mirage13–8-0.0114%24 Aug
dust213–8-0.0613%24 Aug
dust29–13-0.0311%24 Aug
dust213–60.086%24 Aug
mirage13–50.002%24 Aug
dust24–13-0.0514%24 Aug
dust213–60.059%23 Aug
nuke16–130.134%22 Aug
mirage9–130.017%22 Aug
cache16–140.027%22 Aug
nuke13–110.065%21 Aug
nuke4–13-0.074%21 Aug
dust213–80.0114%21 Aug
mirage13–70.0311%20 Aug
mirage13–50.0814%20 Aug
dust213–4-0.027%20 Aug
dust28–130.0317%19 Aug
dust213–110.0414%18 Aug
dust24–130.0211%17 Aug
dust28–13-0.029%17 Aug
mirage13–110.0015%16 Aug
dust24–13-0.126%16 Aug
nuke8–8-0.053%15 Aug
cache13–70.016%15 Aug
mirage13–6-0.066%15 Aug
dust213–30.064%14 Aug
dust213–8-0.0214%13 Aug
vertigo9–60.0013%13 Aug
anubis11–130.0010%12 Aug
dust210–130.069%12 Aug
anubis15–15-0.0614%11 Aug
inferno4–13-0.0712%11 Aug
mirage16–120.0617%11 Aug
mirage13–40.0112%11 Aug
nuke7–13-0.039%11 Aug
mirage11–130.0617%11 Aug
mirage5–130.0917%11 Aug
mirage13–16-0.019%10 Aug
mirage13–90.016%10 Aug
nuke13–50.0917%9 Aug
dust25–13-0.117%9 Aug
inferno13–80.0411%9 Aug
office3–13-0.089%9 Aug
nuke13–9-0.012%7 Aug
dust213–90.0725%7 Aug
inferno16–140.0411%6 Aug
inferno8–8-0.1511%6 Aug
dust213–60.0121%6 Aug
dust24–13-0.0811%6 Aug
dust213–90.0317%5 Aug
anubis13–10-0.0411%5 Aug
nuke13–9-0.049%4 Aug
dust28–13-0.018%4 Aug
dust213–70.0826%4 Aug
dust29–13-0.028%3 Aug
mirage11–13-0.0312%3 Aug
mirage7–13-0.067%3 Aug
mirage12–160.0114%3 Aug
dust216–130.0012%3 Aug
inferno3–9-0.175%2 Aug
inferno16–120.026%2 Aug
nuke8–130.0124%2 Aug
ancient6–130.0315%2 Aug
mirage15–15-0.0615%30 Jul
nuke8–13-0.1021%29 Jul
nuke14–16-0.028%29 Jul
dust213–70.0925%27 Jul
dust27–13-0.037%27 Jul
dust213–7-0.0113%23 Jul
inferno5–9-0.060%22 Jul
mirage13–50.0217%22 Jul
dust213–6-0.0213%18 Jul
dust213–11-0.049%18 Jul
mirage13–80.0814%18 Jul
office12–120.0015%13 Jul
dust20–13-0.150%13 Jul
cache7–130.0916%9 Jul
dust20–13-0.0114%9 Jul
dust210–130.0114%2 Jul
mirage13–9-0.008%2 Jul
mirage9–13-0.0513%30 Jun
dust211–13-0.0113%29 Jun
nuke7–30.089%29 Jun
dust28–13-0.0617%29 Jun
nuke13–4-0.040%29 Jun
dust22–130.0612%29 Jun
dust24–13-0.010%28 Jun
overpass11–13-0.0310%27 Jun
mirage13–80.0219%27 Jun
nuke8–13-0.018%26 Jun

Match data via Leetify.

Recent teammates

Milestones

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