iHades — CS2 Stats

76561198857447826[U:1:897182098]

931Tracked matches55%Win rate2023Tracked since
CSDB Rating4.6 Developing
Ladder ranks via Leetify

Performance scores

Aim48
Positioning42
Utility52

0–100 skill scores via Leetify.

Recent form

COLD52435Last 10052%Win rateLWWWLLLLLL

Last 10 vs previous 10: -30pp win rate · +0.01 avg rating

Player DNA

Aim4.8
Aggression3.8
Utility5.2
Positioning4.2
Opening Duels1.7

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

NiKo

Plays most like NiKo 82% playstyle similarity

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

Where you differ: lower positioning profile; 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 47% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 637ms 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
Positioning4.2
Utility5.2
Mechanics4.6
Opening Duels2.1
Win Impact6.7

Composite 4.6/10 (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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time648ms−17ms
first ⅓ avg 665ms → last ⅓ avg 648ms
Headshot accuracy17.7%+4.8%
first ⅓ avg 12.9% → last ⅓ avg 17.7%

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

0.09Best rating — dust2 13–5
131Biggest win — anubis
4Longest win streak
67In matches decided by ≤2 rounds
11Overtime games

Map breakdown

dust2Best map · 67% over 6mirageWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
infernoA2112957%-0.02
nukeB179853%-0.03
ancientB157847%-0.03
anubisC125742%0.01
mirageD113827%-0.02
cacheB84450%-0.00
dust2S64267%0.02
overpass43175%0.00
office21150%-0.09
shelter110100%0.01
fachwerk110100%-0.00
boulder110100%0.01
vertigo110100%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Mirage 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.

16.5%Headshot accuracy
34.6%Accuracy (enemy spotted)
36.9%Spray accuracy
70.8%Counter-strafing
12.2°Preaim
637msReaction time
27.3%T opening success
46.6%CT opening success
0.53Enemies flashed / flash
6.5%Flash assists
5.62HE damage / grenade
12.77Flashes / 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 12.1642° — above the 12° mark we flag

    Aim Training
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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient11–13-0.0714%28 Aug
mirage13–90.0214%28 Aug
cache13–90.0816%28 Aug
dust213–60.0318%27 Aug
anubis10–130.0113%26 Aug
inferno2–13-0.0633%22 Aug
anubis9–13-0.0116%22 Aug
dust29–130.0419%21 Aug
nuke2–13-0.0824%10 Aug
inferno11–130.0222%6 Aug
inferno13–5-0.0127%4 Aug
inferno13–10-0.0412%20 Jul
cache9–13-0.0210%18 Jul
mirage7–13-0.0616%18 Jul
anubis15–15-0.009%17 Jul
inferno13–8-0.047%17 Jul
dust213–3-0.0210%17 Jul
dust213–50.0913%15 Jul
ancient13–7-0.0116%15 Jul
anubis9–13-0.026%15 Jul
inferno1–11-0.0733%10 Jul
shelter13–70.0117%9 Jul
fachwerk13–2-0.0022%9 Jul
boulder13–80.0118%8 Jul
mirage7–13-0.0312%3 Jul
nuke13–10-0.0621%3 Jul
nuke13–3-0.0417%1 Jul
inferno16–120.039%1 Jul
cache13–70.0315%1 Jul
nuke11–13-0.0635%26 Jun
inferno13–60.0320%26 Jun
dust213–20.0422%23 Jun
anubis13–100.0528%23 Jun
mirage7–13-0.0713%23 Jun
cache12–120.0318%23 Jun
ancient13–20.0227%16 Jun
mirage11–130.016%16 Jun
overpass4–13-0.059%12 Jun
ancient15–150.015%11 Jun
inferno13–60.0427%11 Jun
inferno16–12-0.0416%9 Jun
anubis13–50.0612%9 Jun
office3–5-0.0811%7 Jun
inferno6–13-0.0324%7 Jun
ancient13–100.0420%7 Jun
office13–7-0.1011%28 May
inferno6–13-0.0914%26 May
mirage9–130.0318%22 May
cache13–9-0.0212%20 May
anubis8–13-0.019%19 May
ancient7–130.0217%18 May
ancient13–6-0.0316%18 May
mirage3–13-0.0616%18 May
overpass13–80.0013%11 May
inferno9–13-0.043%10 May
anubis9–130.0216%6 May
cache9–13-0.0713%2 May
cache8–130.0018%2 May
cache13–10-0.0512%29 Apr
inferno11–13-0.039%27 Apr
anubis11–130.0113%27 Apr
ancient12–12-0.073%26 Apr
mirage16–14-0.0213%26 Apr
nuke9–130.0713%26 Apr
vertigo13–70.0216%24 Apr
inferno13–30.0216%24 Apr
ancient6–13-0.0533%21 Apr
overpass13–7-0.0027%19 Apr
mirage7–13-0.0216%19 Apr
overpass13–20.078%14 Apr
nuke5–13-0.0926%14 Apr
nuke13–11-0.0111%13 Apr
inferno13–60.0416%13 Apr
ancient5–13-0.1011%12 Apr
inferno10–13-0.0020%12 Apr
nuke16–13-0.0110%11 Apr
ancient13–160.0311%11 Apr
nuke13–11-0.0111%11 Apr
ancient13–60.013%8 Apr
nuke8–13-0.070%8 Apr
nuke13–160.0013%7 Apr
ancient15–15-0.0612%7 Apr
nuke13–7-0.0317%7 Apr
anubis13–40.0516%6 Apr
nuke9–13-0.0410%5 Apr
mirage13–30.015%5 Apr
inferno16–14-0.028%3 Apr
ancient16–13-0.087%1 Apr
nuke6–13-0.0617%31 Mar
inferno13–50.0211%31 Mar
ancient13–11-0.0615%29 Mar
mirage10–130.0112%29 Mar
anubis13–10.0212%28 Mar
dust25–13-0.0718%28 Mar
nuke13–110.036%28 Mar
anubis13–8-0.049%27 Mar
inferno10–13-0.092%27 Mar
nuke13–40.0222%27 Mar
inferno8–0-0.0027%26 Mar
nuke13–10-0.0315%26 Mar

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 →