GINGERZNAP

GINGERZNAP — CS2 Stats

76561198881134821[U:1:920869093]Steam profile ↗✓ No bans

673Tracked matches64%Win rate2022Tracked since
CSDB Rating4.8 Developing
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGGINGERZNAPFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim37
Positioning36
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY61336Last 10061%Win rateWLLWWWLWLW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating

Player DNA

Aim3.7
Aggression2.4
Utility6.3
Positioning3.6
Opening Duels0.0

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 75% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Reaction time. 708ms 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

Aim3.7
Positioning3.6
Utility6.3
Mechanics6.4
Opening Duels0.8
Win Impact9.8

Composite 4.8/10 (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-0.03−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time700ms−43ms
first ⅓ avg 743ms → last ⅓ avg 700ms
Headshot accuracy14.9%+1.1%
first ⅓ avg 13.8% → last ⅓ avg 14.9%

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

0.08Best rating — cache 13–6
130Biggest win — dust2
8Longest win streak
76In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 75% over 12trainWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2A26161062%-0.02
infernoC167944%-0.02
mirageA149564%-0.04
nukeS129375%-0.01
cacheS118373%-0.03
trainD82625%-0.03
ancient440100%-0.03
anubis31233%-0.04
warden220100%-0.02
overpass220100%-0.05
alpine1010%-0.05
vertigo110100%0.01

Across the last 100 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.

14.5%Headshot accuracy
30.7%Accuracy (enemy spotted)
32.4%Spray accuracy
78.7%Counter-strafing
11.6°Preaim
708msReaction time
21.1%T opening success
36.0%CT opening success
0.67Enemies flashed / flash
5.4%Flash assists
9.85HE damage / grenade
13.77Flashes / 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. 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 14.4776% — below the 15% mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 707.5332ms — above the 700ms mark we flag

    Aim Training
  3. 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 21.1245% — below the 40% mark we flag

Spend your practice time on Train

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.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
dust213–5-0.0615%24 Aug
dust22–80.0210%24 Aug
train5–13-0.083%3 Aug
inferno13–30.0111%1 Aug
cache13–30.025%30 Jul
dust212–5-0.0713%30 Jul
train5–13-0.0618%21 Jul
cache13–10-0.0111%21 Jul
dust23–13-0.0416%15 Jul
cache13–5-0.0513%15 Jul
cache13–9-0.108%13 Jul
mirage13–8-0.0517%13 Jul
cache13–60.0816%8 Jul
dust211–13-0.0611%6 Jul
nuke13–7-0.0421%29 Jun
inferno2–13-0.129%29 Jun
mirage10–13-0.0217%22 Jun
inferno7–9-0.0120%22 Jun
nuke13–4-0.0214%22 Jun
inferno12–120.0216%22 Jun
inferno13–7-0.0217%2 Jun
cache13–90.0115%2 Jun
dust29–13-0.0223%2 Jun
cache12–12-0.0617%11 May
dust213–110.0522%10 May
cache7–13-0.139%10 May
cache13–10-0.0315%5 May
dust213–6-0.0313%30 Apr
cache6–13-0.0612%30 Apr
cache13–90.0517%29 Apr
nuke13–40.0723%27 Apr
dust25–13-0.0536%27 Apr
nuke13–9-0.0210%12 Apr
mirage10–13-0.0916%12 Apr
nuke13–8-0.0318%10 Apr
dust26–13-0.068%10 Apr
ancient13–11-0.0717%29 Mar
mirage13–8-0.039%29 Mar
inferno11–13-0.0312%23 Mar
warden13–3-0.0736%22 Mar
mirage13–10-0.0313%21 Mar
dust212–12-0.0610%21 Mar
nuke13–80.039%20 Mar
warden13–70.0313%20 Mar
nuke12–12-0.0513%20 Mar
inferno9–13-0.0312%20 Mar
dust213–10-0.0023%19 Mar
mirage13–8-0.0118%12 Mar
inferno13–8-0.0216%11 Mar
inferno13–70.0517%9 Mar
nuke13–6-0.0111%8 Mar
ancient13–9-0.0215%6 Mar
dust213–4-0.0119%3 Mar
inferno13–11-0.0218%3 Mar
mirage11–13-0.0815%28 Feb
dust213–10-0.0026%27 Feb
nuke13–30.0113%27 Feb
anubis4–13-0.0712%26 Feb
dust213–00.0219%26 Feb
mirage13–11-0.025%25 Feb
dust213–10-0.0420%23 Feb
nuke8–13-0.025%23 Feb
dust22–13-0.0714%20 Feb
inferno9–5-0.0212%19 Feb
nuke1–13-0.0211%19 Feb
inferno10–13-0.027%16 Feb
mirage13–11-0.064%16 Feb
nuke13–7-0.0516%15 Feb
dust213–3-0.0615%14 Feb
dust210–13-0.0311%14 Feb
dust213–100.0411%13 Feb
ancient13–7-0.0616%9 Feb
dust213–5-0.0217%7 Feb
alpine6–13-0.057%6 Feb
anubis9–13-0.0011%6 Feb
dust213–5-0.0015%6 Feb
vertigo13–80.0120%6 Feb
ancient13–90.013%6 Feb
mirage13–70.008%27 Jan
mirage11–13-0.0315%25 Jan
inferno12–120.0114%25 Jan
anubis13–6-0.048%24 Jan
train6–13-0.0316%18 Jan
overpass13–6-0.039%18 Jan
mirage9–13-0.049%15 Jan
dust213–11-0.0717%14 Jan
dust211–13-0.0515%13 Jan
train13–11-0.019%11 Jan
inferno6–13-0.0216%10 Jan
mirage13–6-0.047%10 Jan
dust213–00.0115%10 Jan
inferno13–9-0.0613%9 Jan
inferno10–13-0.0510%7 Jan
overpass13–9-0.079%7 Jan
dust213–90.0318%7 Jan
train10–13-0.0515%7 Jan
train12–12-0.0215%5 Jan
train13–7-0.0224%5 Jan
mirage13–4-0.0124%2 Jan
train5–13-0.0029%2 Jan

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 →