my feet are cold — CS2 Stats

76561199788129563[U:1:1827863835]✓ No bans

50Tracked matches41%Win rate2024Tracked since
CSDB Rating4.0 Developing
Ladder ranks via Leetify

Performance scores

Aim37
Positioning58
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY18251Last 4441%Win rateWWLWLLWLLW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Aim3.7
Aggression6.7
Utility4.3
Positioning5.8
Opening Duels2.4

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

Twistzz

Plays most like Twistzz 81% playstyle similarity

Most alike: opening-duel success, positioning profile.

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 47% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 576ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim3.7
Positioning5.8
Utility4.3
Mechanics4.2
Opening Duels2.4
Win Impact2.1

Composite 4.0/10 (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-0.00+0.04
first ⅓ avg -0.04 → last ⅓ avg -0.00
Reaction time567ms−190ms
first ⅓ avg 757ms → last ⅓ avg 567ms
Headshot accuracy15.2%−3.0%
first ⅓ avg 18.2% → last ⅓ avg 15.2%

Rolling 5-match average across the last 44 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.15Best rating — train 13–11
131Biggest win — train
4Longest win streak
W2Current streak
32In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 80% over 5cacheWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C146843%-0.02
nukeC52340%0.01
ancientS54180%-0.01
cacheD5050%-0.04
infernoA53260%0.01
train32167%0.04
vertigo2020%-0.02
anubis110100%0.01
mirage1010%0.07
overpass1010%0.02
thera1010%-0.14
italy1010%-0.09

Across the last 44 tracked matches.

Skill profile

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

15.1%Headshot accuracy
28.1%Accuracy (enemy spotted)
30.3%Spray accuracy
69.0%Counter-strafing
11.5°Preaim
576msReaction time
31.7%T opening success
47.5%CT opening success
0.71Enemies flashed / flash
1.1%Flash assists
6.73HE damage / grenade
6.92Flashes / 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

    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 31.7368% — below the 40% mark we flag

Spend your practice time on Cache

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
nuke13–100.0216%10 Aug
ancient13–5-0.080%10 Aug
cache13–16-0.0017%10 Aug
dust213–90.0317%10 Aug
cache8–130.0113%10 Aug
dust211–13-0.036%30 Jul
anubis13–30.0110%30 Jul
cache3–13-0.0521%29 Jul
ancient9–13-0.0211%29 Jul
ancient13–8-0.0114%29 Jul
dust213–70.0518%29 Jul
dust210–130.0323%29 Jul
nuke0–8-0.0133%29 Jul
ancient13–60.0112%21 Jul
cache10–13-0.0814%21 Jul
dust26–13-0.017%20 Jul
ancient13–110.069%20 Jul
vertigo7–130.0117%29 Jun
inferno13–20.0119%29 Jun
dust213–80.0911%29 Jun
dust25–00.0533%29 Jun
train13–10.1035%29 Jun
dust211–13-0.038%29 Jun
nuke7–13-0.0317%29 Jun
inferno5–9-0.1015%29 Jun
inferno9–70.1415%29 Jun
inferno6–13-0.0718%29 Jun
cache12–12-0.0613%29 Jun
dust26–130.0616%29 Jun
mirage9–130.0713%29 Jun
nuke4–13-0.0217%29 Jun
vertigo3–13-0.0530%29 Jun
nuke13–80.0922%29 Jun
train13–110.1512%29 Jun
overpass7–130.0214%26 Jun
inferno13–20.0616%26 Jun
train10–13-0.136%17 Nov
dust27–13-0.0915%7 Nov
thera4–13-0.140%2 Nov
dust24–13-0.145%2 Nov
dust20–13-0.130%31 Oct
italy1–13-0.09100%30 Oct
dust213–4-0.0418%30 Oct
dust213–7-0.080%27 Oct

Match data via Leetify.

Recent teammates

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