Gin_fizz

Gin_fizz — CS2 Stats

CN76561198224958520[U:1:264692792]Steam profile ↗✓ No bans

1,723Tracked matches52%Win rate2020Tracked since
CSDB Rating5.8 SolidSupport
Premier CS Rating23,385Top 25% of 204,150 CSDB-tracked playersPink band · top ~4.8% of ranked players (population est.)
CSDB Leaderboard#37742 of 251221 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Jun 2026 (115 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 23,385 +2,014 20 Dec – 18 Jun · 31 days played
20,61625,104peak 25,10420 Dec18 Jun
25,104Peak Premier in tracked matches
48Days played since 2025-12-12

Premier CS Rating

  • 1,719 below peak (25,104)
  • +594 over 30 days · improving
  • -136 over 90 days
  • Next: Red band at 25,000 — 1,615 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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

Share this profile

CSDB.GGGin_fizzFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER23,385 · Pink bandcsdb.gg/stats

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Performance scores

Aim75
Positioning44
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY48–43–9Last 10048%Win rateLWWLWWLLLW

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating · +3.4pp headshot accuracy · −68ms reaction

Win rate up 30pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 514ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 504ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 538ms

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: Support — Utility contribution stands above the rest of this profile (+1.7 against its own average).

Aim7.5
Utility5.7
Positioning4.4
Opening Duels2.3
Clutch3.6

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 94% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

Reaction time. 566ms 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

Aim7.5
Positioning4.4
Utility5.7
Mechanics6.7
Opening Duels1.7
Win Impact5.6

Composite 5.8/10 (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 time558ms−26ms
first ⅓ avg 584ms → last ⅓ avg 558ms
Headshot accuracy17.6%−0.9%
first ⅓ avg 18.5% → last ⅓ avg 17.6%

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

0.14Best match rating · 13–3 · anubis, 23 Jan →
33%Best headshot accuracy · 13–3 · anubis, 23 Jan →
367msFastest reaction time · 3–13 · dust2, 18 Jun →
13–1Biggest win · ancient, 13 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–5In matches decided by ≤2 rounds
17Overtime games

Map breakdown

dust2Best map · 61% over 33infernoWeakest map · 42% over 19
MapGradePlayedRecordWin rateAvg rating
dust2A3320–1361%0.01
ancientB2412–1250%-0.00
infernoC198–1142%-0.00
anubisB105–550%-0.01
mirageC73–443%-0.02
nuke—30–30%0.05
cache—20–20%-0.01
overpass—10–10%-0.02
vertigo—10–10%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

558Matches
56%Win rate
0.98Avg K/D
77.3ADR
43%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
17Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage5840%0.8713.6
Anubis5747%0.9215.5
Dust25461%1.1216.4
Ancient5252%1.0114.4
Inferno5058%0.9414.4
Vertigo3540%0.8214.4
Nuke2157%0.9312.7
Train1060%1.0616.0

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.

17.4%Headshot accuracy
37.1%Accuracy (enemy spotted)
38.2%Spray accuracy
80.0%Counter-strafing
9.7°Preaim
566msReaction time
28.9%T opening success
43.8%CT opening success
0.65Enemies flashed / flash
11.0%Flash assists
8.71HE damage / grenade
5.92Flashes / 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 28.9479% — 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.

42% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust23–13-0.0719%18 Jun →
ancient13–10.0519%13 Jun →
ancient13–60.0424%13 Jun →
ancient13–16-0.0219%11 Jun →
inferno13–100.0126%10 Jun →
dust213–40.0423%10 Jun →
inferno13–160.0314%10 Jun →
anubis4–13-0.0714%7 Jun →
anubis1–13-0.0220%21 May →
dust213–110.0111%21 May →
mirage15–15-0.0418%20 May →
dust213–7-0.0716%20 May →
cache2–13-0.0317%1 May →
dust28–13-0.0615%29 Apr →
cache11–130.0211%29 Apr →
ancient8–13-0.0217%19 Apr →
mirage6–13-0.0414%19 Apr →
inferno6–13-0.0031%12 Apr →
ancient8–13-0.077%2 Apr →
inferno16–13-0.049%2 Apr →
dust213–80.019%30 Mar →
dust210–13-0.0124%30 Mar →
dust213–7-0.0211%25 Mar →
inferno13–80.0014%25 Mar →
mirage16–13-0.0520%21 Mar →
mirage8–13-0.0227%20 Mar →
anubis13–10-0.0214%20 Mar →
ancient13–70.0223%15 Mar →
anubis13–10.0822%15 Mar →
dust216–140.0120%15 Mar →
mirage13–20.0520%9 Mar →
inferno5–13-0.0211%9 Mar →
dust210–130.0122%6 Mar →
inferno16–130.0122%5 Mar →
dust213–6-0.0111%5 Mar →
ancient6–13-0.0316%5 Mar →
dust27–130.0424%3 Mar →
dust28–130.0127%3 Mar →
inferno10–13-0.0022%3 Mar →
inferno8–130.0619%1 Mar →
ancient7–13-0.0116%1 Mar →
dust215–15-0.0425%22 Feb →
inferno10–13-0.0727%22 Feb →
inferno5–13-0.0317%22 Feb →
ancient9–13-0.0119%18 Feb →
dust213–80.0416%15 Feb →
dust213–80.0321%15 Feb →
dust215–150.0317%12 Feb →
anubis3–13-0.1116%10 Feb →
ancient2–1-0.070%10 Feb →
ancient10–130.0315%10 Feb →
dust29–130.0632%6 Feb →
anubis15–15-0.0014%6 Feb →
ancient13–50.0223%6 Feb →
ancient11–130.0425%5 Feb →
inferno12–100.0721%5 Feb →
inferno15–15-0.0216%1 Feb →
anubis8–13-0.0712%28 Jan →
ancient8–130.0114%28 Jan →
ancient13–8-0.0215%25 Jan →
anubis13–6-0.0326%25 Jan →
dust216–140.0422%25 Jan →
ancient13–9-0.0517%24 Jan →
anubis13–30.1433%23 Jan →
nuke11–130.0928%22 Jan →
dust213–90.0018%22 Jan →
inferno13–50.0318%22 Jan →
ancient4–13-0.0316%19 Jan →
ancient8–130.0318%19 Jan →
dust27–13-0.0313%19 Jan →
nuke5–130.0817%16 Jan →
dust213–50.0628%16 Jan →
dust213–10.0922%16 Jan →
dust213–60.1326%16 Jan →
ancient13–10.0411%16 Jan →
dust216–12-0.0215%16 Jan →
mirage11–13-0.0525%15 Jan →
dust213–90.0315%15 Jan →
overpass12–12-0.0215%13 Jan →
dust26–130.0414%9 Jan →
dust213–90.0124%6 Jan →
dust213–9-0.0227%6 Jan →
inferno11–13-0.0427%6 Jan →
dust215–150.0218%5 Jan →
ancient16–120.0426%3 Jan →
inferno10–130.0323%3 Jan →
nuke10–13-0.0012%22 Dec →
dust216–13-0.0125%22 Dec →
inferno5–13-0.1026%22 Dec →
mirage13–90.0119%21 Dec →
vertigo12–120.0319%21 Dec →
ancient13–50.0613%21 Dec →
dust213–100.0417%21 Dec →
inferno13–70.0519%20 Dec →
ancient16–14-0.0515%20 Dec →
ancient7–13-0.0216%20 Dec →
dust212–120.0119%17 Dec →
inferno13–20.0116%17 Dec →
ancient13–110.0110%17 Dec →
anubis13–8-0.047%12 Dec →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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