Omegaapples — CS2 Stats

76561198836616824[U:1:876351096]✓ No bans

208Tracked matches71%Win rate2025Tracked since
CSDB Rating2.9 Learning
WingmanSilver III
Ladder ranks via Leetify

Performance scores

Aim13
Positioning48
Utility18

0–100 skill scores via Leetify.

Recent form

STEADY523810Last 10052%Win rateWTLWLWWLLW

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

Aim1.3
Aggression4.2
Utility1.8
Positioning4.8
Opening Duels1.6

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 70% 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

T-side openings. Opening success drops from 46% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 661ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 52% 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

Aim1.3
Positioning4.8
Utility1.8
Mechanics0.3
Opening Duels2.1
Win Impact10.0

Composite 2.9/10 (Learning), 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 rating0.01+0.05
first ⅓ avg -0.05 → last ⅓ avg 0.01
Reaction time655ms+4ms
first ⅓ avg 651ms → last ⅓ avg 655ms
Headshot accuracy7.5%−0.3%
first ⅓ avg 7.9% → last ⅓ avg 7.5%

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 — dust2 13–10
130Biggest win — ancient
8Longest win streak
15In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 67% over 15infernoWeakest map · 39% over 18
MapGradePlayedRecordWin rateAvg rating
infernoC1871139%-0.04
vertigoS1510567%-0.02
nukeA138562%-0.01
overpassB126650%-0.07
ancientC104640%-0.04
mirageA95456%-0.02
dust2C94544%0.02
cache43175%-0.02
train330100%-0.00
anubis21150%0.02
warden1010%-0.06
poseidon1010%-0.15
alpine1010%0.04
stronghold110100%0.01
office1010%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

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

8.1%Headshot accuracy
34.6%Accuracy (enemy spotted)
32.3%Spray accuracy
51.5%Counter-strafing
15.4°Preaim
661msReaction time
26.1%T opening success
46.5%CT opening success
0.17Enemies flashed / flash
2.0%Flash assists
9.34HE damage / grenade
0.34Flashes / 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 15.4096° — above the 12° mark we flag

    Aim Training
  2. 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 8.0815% — below the 15% mark we flag

    Aim Training
  3. 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 0.1658 — below the 0.5 mark we flag

    Grenade Lineups
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.

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–6-0.0313%27 Aug
mirage12–120.0210%7 Aug
inferno8–13-0.032%7 Aug
cache13–90.025%7 Aug
mirage10–130.055%5 Aug
nuke13–90.0813%5 Aug
dust213–100.139%5 Aug
inferno7–130.014%5 Aug
inferno1–9-0.150%3 Aug
cache13–8-0.0910%3 Aug
dust28–13-0.0611%2 Aug
dust211–130.0410%2 Aug
mirage13–3-0.033%2 Aug
inferno13–30.068%2 Aug
dust28–00.058%2 Aug
nuke13–50.069%2 Aug
nuke13–50.016%2 Aug
vertigo13–40.057%30 Jul
vertigo9–130.0313%30 Jul
dust213–50.048%30 Jul
nuke12–00.0711%11 Jul
nuke13–2-0.060%11 Jul
inferno8–13-0.036%11 Jul
overpass12–12-0.0811%15 Jun
dust213–20.0617%14 Jun
overpass13–6-0.054%24 May
vertigo12–2-0.024%24 May
cache13–8-0.068%24 May
vertigo13–1-0.033%20 May
overpass13–70.0414%10 May
ancient13–20.046%10 May
inferno13–20.105%8 May
cache11–130.036%8 May
mirage13–8-0.073%7 May
mirage12–12-0.075%2 May
mirage13–100.009%21 Apr
inferno13–9-0.0610%13 Apr
ancient12–12-0.054%13 Apr
nuke13–60.0211%12 Apr
vertigo2–13-0.0813%12 Apr
overpass9–13-0.057%10 Apr
vertigo13–40.033%10 Apr
nuke12–12-0.0210%10 Apr
inferno11–130.0110%5 Apr
vertigo8–13-0.0012%4 Apr
ancient13–5-0.076%4 Apr
nuke7–13-0.055%3 Apr
mirage13–20.026%29 Mar
mirage2–13-0.084%29 Mar
warden6–13-0.065%27 Mar
inferno13–10-0.0412%27 Mar
vertigo13–8-0.029%22 Mar
inferno6–13-0.0210%20 Mar
nuke13–6-0.0610%20 Mar
overpass12–12-0.068%20 Mar
vertigo13–10.0020%20 Mar
ancient6–13-0.114%19 Mar
nuke12–12-0.0517%16 Mar
anubis13–40.0611%15 Mar
nuke13–7-0.033%15 Mar
vertigo13–6-0.0215%14 Mar
overpass6–13-0.097%10 Mar
nuke7–13-0.069%10 Mar
inferno10–13-0.045%8 Mar
nuke7–130.0110%7 Mar
inferno13–6-0.058%7 Mar
overpass2–9-0.2210%24 Feb
train13–10.000%23 Feb
ancient7–13-0.096%21 Feb
overpass4–13-0.0410%21 Feb
vertigo9–13-0.067%21 Feb
inferno1–2-0.130%21 Feb
train13–8-0.055%21 Feb
vertigo13–8-0.073%20 Feb
inferno8–13-0.086%18 Feb
overpass13–7-0.114%18 Feb
vertigo13–1-0.025%17 Feb
poseidon5–9-0.1515%8 Feb
overpass13–7-0.0610%28 Jan
inferno13–6-0.054%28 Jan
dust25–13-0.073%27 Jan
ancient10–130.0214%27 Jan
overpass13–9-0.067%25 Jan
vertigo9–130.0018%23 Jan
ancient12–12-0.045%23 Jan
alpine12–120.0413%22 Jan
stronghold13–50.019%22 Jan
anubis5–13-0.010%22 Jan
ancient5–13-0.129%21 Jan
dust211–13-0.037%21 Jan
dust27–13-0.0118%20 Jan
vertigo13–7-0.046%19 Jan
overpass13–7-0.108%19 Jan
train13–60.0413%18 Jan
mirage13–110.0111%17 Jan
ancient13–00.025%17 Jan
inferno5–13-0.0819%15 Jan
inferno3–13-0.068%15 Jan
ancient13–10-0.066%13 Jan
office12–12-0.067%11 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 →