gabe itch

gabe itch — CS2 Stats

AF76561199835083172[U:1:1874817444]Steam profile ↗

85Tracked matches34%Win rate2025Tracked since
69Hours in CS0Hrs last 2 wks
CSDB Rating5.1 DevelopingAggressive Rifler
Ladder ranks via Leetify

Performance scores

Aim79
Positioning45
Utility20

0–100 skill scores via Leetify.

Recent form

COLD39442Last 8546%Win rateLLLLLWLLLW

Last 10 vs previous 10: -20pp win rate · -0.04 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.9
Aggression8.1
Utility2.0
Positioning4.5
Opening Duels3.4

Strong CT-side opener

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 83% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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 34 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.

T-side openings. Opening success drops from 53% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 671ms 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

Aim7.9
Positioning4.5
Utility2.0
Mechanics7.6
Opening Duels3.4
Win Impact0.0

Composite 5.1/10 (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 rating0.00−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.00
Reaction time662ms−18ms
first ⅓ avg 680ms → last ⅓ avg 662ms
Headshot accuracy23.5%−0.9%
first ⅓ avg 24.3% → last ⅓ avg 23.5%

Rolling 5-match average across the last 85 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.29Best rating — anubis 13–6
130Biggest win — ancient
5Longest win streak
L5Current streak
77In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 71% over 7mirageWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
dust2C2391439%0.01
mirageD1751229%0.01
ancientA106460%0.01
trainC94544%0.03
infernoS75271%-0.03
anubisS64267%0.08
overpass42250%-0.02
nuke42250%-0.00
vertigo21150%-0.01
cache1010%0.03
grail1010%0.10
agency110100%0.00

Across the last 85 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

1,492Lifetime kills
1.16K/D · Top 50% of tracked players
82Matches
46.3%Match win rate · Top 50% of tracked players
52.2%Headshot % · Top 25% of tracked players
0.0%Shot accuracy
227MVPs
26Hours (in match)
58Bombs planted
18Bombs defused

Most-used weapons

Lifetime map wins

181dust2
93train
44vertigo
41inferno
41nuke
2ar_shoots
2ar_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.

24.6%Headshot accuracy
35.7%Accuracy (enemy spotted)
42.5%Spray accuracy
84.3%Counter-strafing
9.5°Preaim
671msReaction time
34.3%T opening success
53.0%CT opening success
0.48Enemies flashed / flash
5.4%Flash assists
6.95HE damage / grenade
5.03Flashes / 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. 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 0.4774 — below the 0.5 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 34.3357% — below the 40% mark we flag

Spend your practice time on Mirage

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

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage14–16-0.0323%10 Jul
mirage9–13-0.0960%10 Jul
mirage5–130.0650%9 Jul
cache5–130.0367%7 Jul
dust210–130.0143%7 Jul
ancient13–60.0741%7 Jul
ancient0–4-0.100%27 Feb
overpass0–13-0.070%15 Nov
inferno1–13-0.0429%15 Nov
ancient13–9-0.070%14 Nov
ancient9–130.0424%27 Oct
ancient13–0-0.069%26 Oct
mirage6–12-0.0117%4 Oct
ancient13–40.1222%4 Oct
overpass10–13-0.0438%17 Sept
dust210–130.0135%17 Sept
ancient4–130.0129%23 Jul
inferno13–11-0.0215%18 Jul
mirage9–130.016%18 Jul
dust213–80.079%18 Jul
nuke13–30.0716%18 Jul
mirage9–13-0.0322%5 Jul
grail12–120.1018%4 Jul
train13–70.0315%3 Jul
mirage14–160.0012%3 Jul
mirage13–9-0.0816%3 Jul
anubis13–90.1423%3 Jul
mirage9–13-0.0019%3 Jul
dust20–2-0.0267%28 Jun
dust20–2-0.050%27 Jun
mirage6–13-0.0216%27 Jun
anubis13–10.0322%27 Jun
train13–11-0.0113%27 Jun
dust23–130.0123%26 Jun
anubis13–110.0123%26 Jun
train13–8-0.0733%17 Jun
dust213–50.0213%17 Jun
inferno13–7-0.0415%17 Jun
mirage13–80.0731%14 Jun
train6–130.0719%14 Jun
agency13–60.0021%14 Jun
ancient0–13-0.070%14 Jun
anubis0–13-0.0833%14 Jun
dust27–130.0429%13 Jun
train7–130.0918%13 Jun
nuke6–130.0815%13 Jun
dust213–50.0116%13 Jun
inferno13–6-0.1036%10 Jun
nuke13–40.0134%10 Jun
inferno5–13-0.0125%10 Jun
overpass13–110.0330%5 Jun
inferno13–2-0.010%30 May
train2–13-0.0344%30 May
overpass13–80.028%30 May
inferno2–0-0.030%30 May
dust21–13-0.0340%29 May
dust213–30.0845%29 May
dust28–13-0.0250%29 May
ancient13–80.0330%26 May
dust26–13-0.0538%25 May
mirage13–10.0233%25 May
dust213–110.0440%22 May
vertigo11–13-0.0132%22 May
anubis13–60.2922%5 May
dust28–13-0.0226%5 May
dust210–130.0119%12 Apr
train11–13-0.0229%12 Apr
nuke0–4-0.160%11 Apr
train13–70.1415%11 Apr
anubis12–120.0617%11 Apr
mirage6–130.0713%10 Apr
vertigo13–2-0.0124%22 Mar
dust20–13-0.0520%19 Mar
mirage13–60.0221%18 Mar
dust213–00.0131%18 Mar
mirage13–70.0519%18 Mar
dust213–40.0326%18 Mar
dust20–13-0.0823%18 Mar
train8–130.0629%17 Mar
dust211–130.0523%17 Mar
dust213–6-0.0120%17 Mar
mirage6–130.0520%16 Mar
mirage9–130.1014%16 Mar
ancient13–110.1219%16 Mar
dust213–20.2728%16 Mar

Match data via Leetify.

Recent teammates

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