Fullwrath

Fullwrath — CS2 Stats

ZA76561198267788735[U:1:307523007]Steam profile ↗

3,886Tracked matches48%Win rate2020Tracked since
2,643Hours in CS
CSDB Rating5.4 Developing
Ladder ranks via Leetify

Performance scores

Aim48
Positioning54
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY46486Last 10046%Win rateLWLLWLWWWW

Last 10 vs previous 10: +30pp win rate · -0.02 avg rating

Player DNA

Aim4.8
Aggression7.6
Utility6.5
Positioning5.4
Opening Duels3.7

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

b1t

Plays most like b1t 87% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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. 722ms 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

Aim4.8
Positioning5.4
Utility6.5
Mechanics7.2
Opening Duels3.7
Win Impact4.4

Composite 5.4/10 (Developing), 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

Match rating0.04+0.00
first ⅓ avg 0.04 → last ⅓ avg 0.04
Reaction time715ms+0ms
first ⅓ avg 715ms → last ⅓ avg 715ms
Headshot accuracy24.0%+2.6%
first ⅓ avg 21.4% → last ⅓ avg 24.0%

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

0.25Best rating — inferno 13–5
130Biggest win — vertigo
6Longest win streak
86In matches decided by ≤2 rounds
3Overtime games

Map breakdown

vertigoBest map · 63% over 8infernoWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C25111444%0.04
mirageB1991047%0.04
anubisB105550%0.01
nukeB105550%0.04
infernoC83538%0.08
overpassB84450%0.09
vertigoA85363%0.07
cache31233%0.04
train31233%0.12
office31233%0.08
ancient2020%0.08
warden110100%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

128,366Lifetime kills
1.10K/D · Top 50% of tracked players
5,753Matches
44.9%Match win rate
48.5%Headshot % · Top 50% of tracked players
16.0%Shot accuracy · Top 25% of tracked players
15,376MVPs
2,643Hours (in match)
6,823Bombs planted
1,436Bombs defused

Most-used weapons

AK-4737,415
AWP13,864
XM10148,957
AUG3,741
MAC-103,572
MP93,323

Lifetime map wins

13,074dust2
11,752inferno
5,188nuke
3,328vertigo
2,433train
631office
315italy
199lake

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.

23.1%Headshot accuracy
31.9%Accuracy (enemy spotted)
30.4%Spray accuracy
82.2%Counter-strafing
12.4°Preaim
722msReaction time
44.7%T opening success
45.2%CT opening success
0.73Enemies flashed / flash
7.3%Flash assists
14.39HE damage / grenade
6.17Flashes / 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 12.3931° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 722.3013ms — above the 700ms mark we flag

    Aim Training
Spend your practice time on Inferno

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache8–130.0831%9 Jul
anubis13–5-0.0619%4 Jul
dust21–130.0516%23 May
nuke3–130.0144%23 May
mirage16–140.0118%7 May
anubis9–13-0.0526%3 May
mirage12–6-0.0319%3 May
dust213–100.0015%3 May
dust213–110.0417%2 May
cache13–40.0417%1 May
cache6–13-0.0026%1 May
nuke13–40.0538%27 Apr
mirage13–160.0127%27 Apr
nuke5–130.0126%27 Apr
inferno10–130.0413%26 Apr
dust215–150.0125%26 Apr
mirage13–100.1020%21 Apr
nuke13–70.0532%19 Apr
mirage8–13-0.0123%16 Apr
ancient11–130.0228%15 Apr
mirage13–80.0921%15 Apr
mirage13–50.1015%14 Apr
dust213–70.1522%12 Apr
mirage11–130.1219%11 Apr
nuke4–130.0618%5 Apr
inferno10–13-0.0122%3 Apr
anubis13–90.1229%2 Apr
train9–130.1331%2 Apr
anubis9–130.0720%2 Apr
anubis13–50.0323%1 Apr
mirage5–130.0221%21 Mar
office13–40.0835%21 Mar
warden13–70.0138%21 Mar
dust213–50.1836%21 Mar
mirage0–13-0.0533%21 Mar
inferno5–130.0626%21 Mar
dust25–13-0.0122%21 Mar
mirage5–13-0.0119%20 Mar
office12–120.0925%20 Mar
nuke13–20.0913%20 Mar
office11–130.0517%18 Mar
overpass12–120.0826%16 Mar
inferno13–70.0120%13 Mar
anubis9–13-0.0723%12 Mar
dust213–70.0318%12 Mar
dust213–110.0336%10 Mar
mirage13–80.0919%8 Mar
ancient12–120.1431%8 Mar
inferno11–130.1428%5 Mar
mirage13–110.0427%5 Mar
inferno9–130.0818%5 Mar
dust213–80.0320%5 Mar
mirage3–10-0.0032%4 Mar
overpass10–130.0918%4 Mar
overpass13–60.2224%3 Mar
train13–10.1818%3 Mar
nuke13–5-0.0124%3 Mar
dust210–130.1422%3 Mar
mirage13–40.0227%3 Mar
inferno13–110.0824%2 Mar
dust213–30.0225%2 Mar
dust210–130.1115%2 Mar
mirage12–120.1017%28 Feb
dust27–130.1411%28 Feb
overpass10–13-0.0023%27 Feb
dust29–130.0631%27 Feb
inferno13–50.2518%27 Feb
train9–130.0528%27 Feb
overpass13–60.0717%27 Feb
mirage13–20.1014%27 Feb
dust23–130.0522%26 Feb
dust211–13-0.0118%26 Feb
nuke1–13-0.0126%26 Feb
dust26–130.0226%26 Feb
dust212–120.0615%23 Feb
nuke13–70.2019%23 Feb
dust28–13-0.0220%22 Feb
dust25–13-0.0230%22 Feb
overpass13–60.1119%21 Feb
dust213–60.0622%21 Feb
anubis6–130.0438%19 Feb
overpass10–130.0625%17 Feb
vertigo3–130.0924%16 Feb
vertigo13–40.0810%16 Feb
vertigo11–130.1313%15 Feb
vertigo13–110.0510%14 Feb
mirage7–130.0319%14 Feb
overpass13–100.0712%13 Feb
vertigo13–20.1239%13 Feb
dust29–4-0.0116%13 Feb
dust213–10-0.0119%13 Feb
vertigo13–00.0664%13 Feb
vertigo13–110.0316%12 Feb
dust29–13-0.0716%11 Feb
vertigo6–13-0.0113%11 Feb
mirage4–13-0.0123%10 Feb
anubis2–13-0.0119%10 Feb
anubis13–11-0.0015%10 Feb
nuke3–13-0.0124%10 Feb
anubis13–00.0915%9 Feb

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →