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ginagenius

ginagenius — CS2 Stats

76561199825162196[U:1:1864896468]Steam profile ↗

82Tracked matches39%Win rate2025Tracked since
CSDB Rating4.5 Developing
Ladder ranks via Leetify

Performance scores

Aim50
Positioning45
Utility41

0–100 skill scores via Leetify.

Recent form

COLD35–45–2Last 8243%Win rateLLLLLLLWWW

Last 10 vs previous 10: +10pp win rate · +0.09 avg rating

Player DNA

Aim5.0
Aggression3.8
Utility4.1
Positioning4.5
Opening Duels1.8

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 81% 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 53% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 657ms 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

Aim5.0
Positioning4.5
Utility4.1
Mechanics7.3
Opening Duels2.8
Win Impact1.4

Composite 4.5/10 (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+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time645ms−24ms
first ⅓ avg 669ms → last ⅓ avg 645ms
Headshot accuracy16.4%+5.0%
first ⅓ avg 11.4% → last ⅓ avg 16.4%

Rolling 5-match average across the last 82 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.12Best rating — dust2 8–13
13–1Biggest win — ancient
7Longest win streak
L7Current streak
8–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

trainBest map · 57% over 7infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B2411–1346%-0.04
nukeC125–742%-0.02
mirageC125–742%-0.01
infernoD82–625%-0.02
anubisD72–529%-0.03
trainA74–357%-0.04
ancientC73–443%-0.06
vertigo—32–167%-0.05
overpass—11–0100%-0.09
office—10–10%-0.09

Across the last 82 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). 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.

14.3%Headshot accuracy
30.4%Accuracy (enemy spotted)
33.3%Spray accuracy
82.8%Counter-strafing
10.0°Preaim
657msReaction time
21.8%T opening success
52.6%CT opening success
0.61Enemies flashed / flash
4.2%Flash assists
8.62HE damage / grenade
11.58Flashes / 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. 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 14.2646% — below the 15% mark we flag

    Aim Training →
  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 21.7571% — below the 40% mark we flag

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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke1–70.08100%26 May →
inferno11–13-0.0324%26 May →
dust28–13-0.0327%26 May →
mirage5–130.0127%26 May →
mirage7–130.0816%14 May →
anubis4–130.1210%14 May →
dust28–130.127%14 May →
dust213–10-0.0315%13 May →
nuke13–70.0917%13 May →
inferno13–110.1118%13 May →
mirage13–30.0718%13 May →
dust29–130.0915%13 May →
dust211–13-0.069%26 Aug →
train11–13-0.045%26 Aug →
anubis9–13-0.117%24 Aug →
dust213–9-0.0619%15 Aug →
nuke11–13-0.0512%15 Aug →
ancient7–13-0.100%15 Aug →
nuke15–15-0.0514%11 Aug →
mirage15–15-0.0410%11 Aug →
train13–8-0.086%10 Aug →
dust210–13-0.0913%10 Aug →
mirage16–14-0.0212%10 Aug →
overpass13–9-0.0910%10 Aug →
ancient6–13-0.075%12 Jul →
nuke5–13-0.0617%12 Jul →
anubis13–8-0.059%12 Jul →
dust216–14-0.0114%12 Jul →
nuke7–13-0.079%12 Jul →
dust213–10-0.0219%11 Jul →
mirage7–13-0.087%6 Jul →
inferno6–13-0.083%6 Jul →
nuke8–13-0.125%6 Jul →
train7–13-0.068%4 Jul →
anubis16–13-0.0413%4 Jul →
dust213–8-0.0712%4 Jul →
nuke13–7-0.004%4 Jul →
train9–13-0.063%4 Jul →
mirage10–130.0113%2 Jul →
nuke8–13-0.079%2 Jul →
mirage9–13-0.0213%1 Jul →
dust213–4-0.149%1 Jul →
train13–8-0.058%30 Jun →
dust29–13-0.059%30 Jun →
inferno9–13-0.056%28 Jun →
dust24–13-0.1110%28 Jun →
nuke13–10-0.045%28 Jun →
ancient13–11-0.065%28 Jun →
mirage13–6-0.018%28 Jun →
anubis12–16-0.0613%19 Jun →
dust213–11-0.0610%19 Jun →
ancient13–10-0.054%19 Jun →
dust28–13-0.103%19 Jun →
dust28–13-0.159%19 Jun →
dust21–2-0.070%19 Jun →
mirage12–16-0.0618%19 Jun →
anubis7–13-0.034%18 Jun →
inferno1–13-0.0110%18 Jun →
ancient10–13-0.086%18 Jun →
dust22–13-0.076%18 Jun →
anubis6–13-0.0215%17 Jun →
mirage13–100.017%17 Jun →
dust213–40.0614%17 Jun →
dust213–11-0.0416%16 Jun →
nuke13–110.0618%16 Jun →
dust27–13-0.0420%16 Jun →
ancient9–13-0.0231%16 Jun →
office4–13-0.0916%14 Jun →
ancient13–1-0.010%14 Jun →
train13–8-0.079%14 Jun →
dust213–3-0.037%14 Jun →
inferno10–13-0.1311%14 Jun →
vertigo7–13-0.0310%8 Jun →
dust213–8-0.016%8 Jun →
vertigo13–11-0.057%6 Jun →
train13–40.0523%6 Jun →
vertigo13–10-0.0614%5 Jun →
mirage13–10-0.034%5 Jun →
nuke13–3-0.0315%5 Jun →
inferno13–100.085%11 Apr →
dust27–13-0.028%11 Apr →
inferno5–13-0.097%21 Mar →

Match data via Leetify.

Recent teammates

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