gintokiiz

gintokiiz — CS2 Stats

76561198084614739[U:1:124349011]Steam profile ↗✓ No bans

595Tracked matches62%Win rate2020Tracked since
CSDB Rating7.2 StrongPassive Rifler
Premier CS Rating27,053Top 5% of 29,473 CSDB-tracked playersRed band · top ~2% of ranked players (population est.)
CSDB Leaderboard#1531 of 39691 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

27,053Peak Premier on CSDB
1Days observed since 2026-08-28

Premier CS Rating

  • At peak — 27,053
  • Next: Gold band at 30,000 2,947 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-28
  • Pink band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGgintokiizFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER27,053 · Red bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim79
Positioning56
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY60346Last 10060%Win rateLTLWLLLWWW

Last 10 vs previous 10: -50pp win rate · -0.06 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim7.9
Aggression3.8
Utility6.8
Positioning5.6
Opening Duels1.3
Clutch0.0

Strong CT-side opener

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 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-fight frequency.

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 52% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 552ms 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

Aim7.9
Positioning5.6
Utility6.8
Mechanics7.6
Opening Duels2.7
Win Impact9.0

Composite 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time569ms+6ms
first ⅓ avg 563ms → last ⅓ avg 569ms
Headshot accuracy18.2%+0.8%
first ⅓ avg 17.4% → last ⅓ avg 18.2%

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

0.14Best rating — dust2 13–2
131Biggest win — dust2
9Longest win streak
85In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 80% over 20ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A41251661%0.01
infernoS2016480%0.02
mirageB115645%-0.02
cacheS107370%0.03
ancientD103730%-0.02
anubis3030%-0.01
nuke220100%0.10
train220100%0.01
overpass1010%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

324Matches
58%Win rate
1.38Avg K/D
69.2ADR
47%Headshot %

Clutches & streaks

12%1v1 clutch win
9%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage425%0.8116.0
Inferno250%0.9718.0
Nuke20%0.8416.0
Ancient20%0.9115.5
Dust220%0.569.5
Vertigo1100%0.7512.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

17.3%Headshot accuracy
36.4%Accuracy (enemy spotted)
39.7%Spray accuracy
84.0%Counter-strafing
9.5°Preaim
552msReaction time
18.9%T opening success
51.8%CT opening success
0.68Enemies flashed / flash
5.4%Flash assists
11.15HE damage / grenade
13.53Flashes / 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 18.8785% — below the 40% mark we flag

Spend your practice time on Ancient

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0514%25 Aug
inferno15–15-0.1213%25 Aug
inferno8–130.0329%22 Aug
inferno13–60.0114%22 Aug
dust21–13-0.0424%22 Aug
inferno2–13-0.0720%21 Aug
dust29–13-0.0410%21 Aug
inferno13–70.0617%16 Aug
dust213–1-0.0520%14 Aug
dust213–70.0023%14 Aug
inferno13–70.0615%14 Aug
dust213–1-0.018%8 Aug
inferno13–70.0420%8 Aug
dust213–100.1120%7 Aug
dust213–30.0722%7 Aug
dust213–110.0013%3 Aug
mirage8–13-0.037%3 Aug
dust213–6-0.038%2 Aug
mirage13–60.0313%29 Jul
cache13–10.0710%27 Jul
dust25–13-0.0517%27 Jul
cache6–10.0417%27 Jul
dust213–20.1322%27 Jul
dust28–13-0.0614%26 Jul
cache13–20.0715%26 Jul
anubis6–130.0119%26 Jul
nuke13–30.1024%25 Jul
cache6–130.0730%24 Jul
cache13–1-0.0229%20 Jul
ancient0–2-0.0233%20 Jul
mirage13–30.0119%20 Jul
inferno13–40.0021%19 Jul
train13–100.0519%15 Jul
cache9–130.0524%5 May
cache13–11-0.0417%4 May
ancient2–30.0418%4 May
mirage2–13-0.0767%4 May
cache13–30.0215%4 May
dust213–30.1021%4 May
dust212–120.016%4 May
dust213–3-0.0331%1 May
dust28–13-0.0142%1 May
dust213–20.1426%1 May
inferno10–40.0521%29 Apr
inferno13–80.0729%29 Apr
cache13–30.0713%29 Apr
cache12–12-0.0219%29 Apr
dust210–130.0921%28 Apr
mirage1–13-0.0113%26 Apr
mirage3–13-0.0316%26 Apr
dust22–13-0.0516%26 Apr
ancient13–20.024%26 Apr
anubis8–13-0.0025%26 Apr
train13–8-0.0424%26 Apr
dust213–60.0112%24 Apr
dust20–5-0.060%24 Apr
inferno13–110.0222%24 Apr
dust22–13-0.0415%23 Apr
dust213–40.0423%22 Apr
mirage13–9-0.036%22 Apr
inferno13–11-0.028%21 Apr
dust213–9-0.0112%21 Apr
dust29–13-0.0313%21 Apr
inferno13–70.0636%20 Apr
ancient13–10-0.0125%20 Apr
dust213–11-0.0124%19 Apr
mirage7–130.0117%19 Apr
dust213–50.1427%19 Apr
inferno13–8-0.0019%19 Apr
ancient0–13-0.090%19 Apr
overpass8–13-0.0211%18 Apr
inferno13–70.1318%18 Apr
ancient13–11-0.0227%18 Apr
mirage13–110.007%18 Apr
dust213–100.0219%18 Apr
mirage13–11-0.0317%17 Apr
dust213–4-0.0126%12 Apr
inferno3–13-0.026%12 Apr
dust24–13-0.0716%12 Apr
ancient4–13-0.1312%11 Apr
inferno13–30.0927%11 Apr
nuke13–50.1015%11 Apr
dust213–50.0415%10 Apr
inferno13–80.0215%10 Apr
ancient15–150.0526%7 Apr
dust213–20.1125%6 Apr
dust213–20.015%6 Apr
ancient10–13-0.0414%30 Mar
dust213–40.0215%30 Mar
dust213–90.0323%29 Mar
anubis0–13-0.0522%27 Mar
inferno13–80.0219%27 Mar
dust20–2-0.080%27 Mar
ancient11–13-0.0116%26 Mar
mirage7–13-0.0329%25 Mar
inferno13–1-0.0039%25 Mar
dust215–150.0218%22 Mar
dust213–30.0811%22 Mar
dust215–150.0418%21 Mar
dust216–130.0417%21 Mar

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →