gintshaka

gintshaka — CS2 Stats

76561199134877104[U:1:1174611376]Steam profile ↗✓ No bans

496Tracked matches43%Win rate2023Tracked since
418Hours in CS
CSDB Rating6.8 SolidPositional Player
Premier CS Rating22,097Top 50% of 215,386 CSDB-tracked playersPink band · top ~6.2% of ranked players (population est.)
CSDB Leaderboard#55814 of 261591 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 496 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,097 +2,661 28 Jun – 30 Oct · 26 days played
19,09923,369peak 23,36928 Jun30 Oct
23,492Peak Premier in tracked matches
31Days played since 2026-06-28

Premier CS Rating

  • 1,272 below peak (23,369)
  • 0 over 30 days · steady
  • +2,508 over 90 days
  • Next: Red band at 25,000 — 2,903 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-17
  • Purple band first seen 2026-09-17

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPink band medianRed band medianvs Red band
Headshot rate45.6%46.9%49.3%3.7% short
Shot accuracy4.8%13.0%13.4%8.6% short
Kill/death ratio0.911.081.120.21 short
Match win rate45.7%46.7%48.5%2.8% short

This profile sits below the typical Red band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGgintshakaPREMIER22,097 · Pink bandcsdb.gg/stats

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Performance scores

Aim88
Positioning67
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateLLWWLWLWLL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −2.0pp headshot accuracy · −55ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 553ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 571ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 599ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2 against its own average).

Aim8.8
Utility5.1
Positioning6.7
Opening Duels4.2
Clutch3.0

Sharp aimerStrong 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution.

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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 59% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 609ms 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

Aim8.8
Positioning6.7
Utility5.1
Mechanics8.2
Opening Duels3.9
Win Impact2.8

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time612ms−61ms
first ⅓ avg 673ms → last ⅓ avg 612ms
Headshot accuracy22.9%−3.8%
first ⅓ avg 26.7% → last ⅓ avg 22.9%

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.

Personal bests

0.15Best match rating · 13–9 · mirage, 28 Jun →
44%Best headshot accuracy · 11–13 · dust2, 27 Aug →
438msFastest reaction time · 13–10 · cache, 2 Sept →
13–0Biggest win · inferno, 24 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
4–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 59% over 34infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C3415–1944%0.01
mirageA3420–1459%0.00
nukeB126–650%-0.01
infernoD92–722%0.01
anubisD62–433%-0.01
cache—33–0100%0.03
ancient—22–0100%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,825Lifetime kills
0.91K/D
1,272Matches
45.7%Match win rate
45.6%Headshot %
4.8%Shot accuracy
2,311MVPs
418Hours (in match)
1,022Bombs planted
589Bombs defused

Most-used weapons

Lifetime map wins

4,009dust2
893inferno
706nuke
436vertigo
208train
157cbble
23italy
21office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

145Matches
48%Win rate
0.91Avg K/D
64.1ADR
50%Headshot %

Clutches & streaks

35%1v1 clutch win
18%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage5145%0.8011.7
Dust22339%0.8512.7
Ancient2138%0.8511.9
Inferno1958%1.0311.5
Anubis1958%0.9911.7
Nuke850%1.0017.6
Vertigo250%1.3210.5
Cache1100%3.2513.0

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.

21.8%Headshot accuracy
39.9%Accuracy (enemy spotted)
46.9%Spray accuracy
87.0%Counter-strafing
9.6°Preaim
609msReaction time
32.1%T opening success
59.2%CT opening success
0.59Enemies flashed / flash
13.9%Flash assists
9.82HE damage / grenade
7.00Flashes / 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 32.0634% — 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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.0224%25 Sept →
nuke10–13-0.0220%23 Sept →
dust213–9-0.0119%20 Sept →
anubis13–8-0.0320%20 Sept →
inferno4–130.0122%20 Sept →
nuke13–10-0.0323%20 Sept →
dust27–130.0110%19 Sept →
mirage13–60.0422%19 Sept →
nuke10–13-0.0419%12 Sept →
inferno7–130.0224%12 Sept →
anubis16–12-0.0214%11 Sept →
dust23–13-0.0717%11 Sept →
dust27–130.0226%4 Sept →
mirage13–100.0424%4 Sept →
dust211–130.0128%3 Sept →
anubis7–13-0.0121%3 Sept →
inferno8–13-0.0431%3 Sept →
dust28–13-0.0826%3 Sept →
mirage14–16-0.0414%3 Sept →
anubis11–13-0.0320%2 Sept →
cache13–10-0.0415%2 Sept →
dust213–6-0.0139%2 Sept →
mirage13–11-0.0914%1 Sept →
inferno13–10-0.0121%1 Sept →
dust213–8-0.0114%1 Sept →
dust24–13-0.0739%1 Sept →
nuke9–130.0231%1 Sept →
dust23–13-0.0333%1 Sept →
mirage13–30.0225%1 Sept →
mirage13–40.0815%1 Sept →
dust213–30.1334%1 Sept →
cache13–30.0426%30 Aug →
dust213–11-0.0127%30 Aug →
mirage13–10.0126%30 Aug →
mirage5–13-0.0429%30 Aug →
nuke13–90.0221%30 Aug →
dust213–90.0521%30 Aug →
dust211–130.0222%28 Aug →
mirage13–90.0733%28 Aug →
mirage13–7-0.0139%28 Aug →
mirage11–13-0.0224%27 Aug →
dust211–130.0044%27 Aug →
mirage5–130.0729%27 Aug →
mirage13–1-0.0128%27 Aug →
dust26–130.0127%26 Aug →
mirage15–150.0024%26 Aug →
ancient13–50.017%16 Aug →
inferno6–130.0526%16 Aug →
dust213–50.0327%16 Aug →
anubis8–130.0327%16 Aug →
mirage13–9-0.0122%16 Aug →
dust213–10-0.0114%16 Aug →
dust215–150.0435%15 Aug →
dust29–13-0.036%14 Aug →
dust210–13-0.0030%14 Aug →
inferno10–13-0.0011%11 Aug →
mirage13–80.0411%11 Aug →
dust213–11-0.0435%10 Aug →
mirage11–13-0.0017%7 Aug →
mirage4–13-0.0736%2 Aug →
dust23–130.0218%2 Aug →
dust213–60.1022%1 Aug →
mirage16–130.0220%1 Aug →
mirage13–7-0.0821%1 Aug →
dust213–90.0531%31 Jul →
dust213–70.0223%31 Jul →
ancient13–110.0837%26 Jul →
mirage11–130.0226%26 Jul →
mirage13–90.0139%26 Jul →
dust215–150.0329%25 Jul →
nuke11–130.0028%25 Jul →
dust29–13-0.0226%25 Jul →
dust213–10.1119%25 Jul →
nuke3–13-0.0023%25 Jul →
inferno13–00.0027%24 Jul →
mirage7–13-0.0343%24 Jul →
mirage7–13-0.0230%2 Jul →
nuke13–7-0.0217%2 Jul →
mirage13–160.0117%1 Jul →
mirage8–13-0.0518%1 Jul →
nuke13–9-0.0317%1 Jul →
mirage13–9-0.0139%1 Jul →
mirage5–13-0.0734%1 Jul →
mirage13–3-0.0133%1 Jul →
nuke13–8-0.0042%1 Jul →
mirage13–60.0216%1 Jul →
dust213–40.0027%1 Jul →
anubis8–13-0.0113%30 Jun →
inferno9–130.0535%30 Jun →
mirage13–40.0338%30 Jun →
mirage13–3-0.0137%30 Jun →
dust21–13-0.0024%29 Jun →
mirage9–130.0126%29 Jun →
cache13–30.0918%29 Jun →
dust215–15-0.0231%29 Jun →
dust213–70.0330%29 Jun →
dust213–16-0.0312%28 Jun →
nuke13–50.0235%28 Jun →
mirage13–90.1517%28 Jun →
nuke14–16-0.0113%28 Jun →

Match data via Leetify.

Recent teammates

Milestones

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

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