vicKyGerini0

vicKyGerini0 — CS2 Stats

76561197960305263[U:1:39535]Steam profile ↗✓ No bans

865Tracked matches33%Win rate2020Tracked since
CSDB Rating5.0 DevelopingAll-Rounder
Premier CS Rating21,593Top 50% of 212,133 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)
CSDB Leaderboard#61759 of 259120 tracked
FaceitLevel 8 · 1,844 ELOTop 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (16 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 865 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,593 -1,560 14 Feb – 16 Oct · 19 days played
20,54326,417peak 26,41714 Feb16 Oct
Faceit ELO: 1,844 +0 11 Sept – 16 Oct · 3 observations
1,8441,844peak 1,84411 Sept16 Oct
26,537Peak Premier in tracked matches
1,844Highest Faceit ELO seen on CSDB
29Days played since 2026-02-14

Faceit ELO

  • At peak — 1,844
  • 0 over 30 days · steady
  • Next: Level 10 at 2,001 — 157 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-11
  • Level 8 first seen 2026-09-11

Premier CS Rating

  • 4,824 below peak (26,417)
  • Next: Red band at 25,000 — 3,407 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-10-16
  • Purple band first seen 2026-10-16

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGvicKyGerini0FACEITLevel 8 · 1,844 ELOSTANDINGTop 31.2% of rankedPREMIER21,593 · Pink band30 DAYS0 ELOPEAK ELO1,844csdb.gg/stats

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Performance scores

Aim62
Positioning56
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY44–54–2Last 10044%Win rateLLWLWLWLWL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −4.0pp headshot accuracy · −20ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 16%
  • Avg reaction 541ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 547ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 557ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.2
Utility5.6
Positioning5.6
Opening Duels4.5
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 85% 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. 553ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.2
Positioning5.6
Utility5.6
Mechanics4.3
Opening Duels4.2
Win Impact0.0

Composite 5.0/10 (Developing), 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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time566ms−73ms
first ⅓ avg 639ms → last ⅓ avg 566ms
Headshot accuracy18.0%+1.3%
first ⅓ avg 16.7% → last ⅓ avg 18.0%

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

0.07Best match rating · 13–10 · overpass, 1 Jun →
44%Best headshot accuracy · 8–0 · cache, 12 Jul →
344msFastest reaction time · 8–13 · dust2, 13 Oct →
13–0Biggest win · nuke, 24 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
7–10In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 69% over 13infernoWeakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
dust2C2510–1540%-0.02
infernoD186–1233%-0.01
mirageD155–1033%-0.01
nukeS139–469%0.01
cacheA106–460%0.00
ancientC104–640%-0.02
overpassC52–340%0.03
anubis—42–250%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,215Matches
53%Win rate
0.84Avg K/D
72.1ADR
44%Headshot %

Clutches & streaks

38%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust23647%0.9515.8
Inferno3367%1.0717.1
Mirage3040%0.9213.0
Nuke1974%1.2617.8
Ancient1644%0.8613.9
Anubis1164%0.9516.6
Overpass757%1.1019.1
Train667%1.1816.2

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.

18.0%Headshot accuracy
34.0%Accuracy (enemy spotted)
39.1%Spray accuracy
69.5%Counter-strafing
11.1°Preaim
553msReaction time
39.3%T opening success
54.3%CT opening success
0.56Enemies flashed / flash
6.7%Flash assists
7.44HE damage / grenade
10.26Flashes / 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 39.3414% — 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.

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0810%13 Oct →
cache5–13-0.0518%13 Oct →
nuke13–7-0.0423%10 Oct →
inferno11–13-0.0215%10 Oct →
dust213–11-0.0513%30 Sept →
inferno8–13-0.0213%30 Sept →
dust213–4-0.0215%30 Sept →
cache8–13-0.0323%27 Sept →
mirage13–9-0.0615%27 Sept →
anubis11–130.0315%27 Sept →
dust213–7-0.0417%24 Sept →
ancient4–13-0.0119%24 Sept →
cache8–13-0.0118%24 Sept →
inferno10–130.0123%24 Sept →
cache13–50.0318%24 Sept →
cache13–16-0.0421%6 Sept →
nuke13–10-0.0335%5 Sept →
mirage13–8-0.0121%25 Aug →
anubis3–13-0.0111%25 Aug →
inferno5–130.0016%25 Aug →
cache13–60.0722%25 Aug →
nuke4–13-0.0026%28 Jul →
dust24–13-0.0813%28 Jul →
ancient2–13-0.0914%21 Jul →
mirage11–13-0.0610%21 Jul →
nuke0–5-0.040%21 Jul →
inferno8–13-0.0120%21 Jul →
inferno7–130.0215%12 Jul →
nuke13–100.0226%12 Jul →
mirage10–130.0118%12 Jul →
dust26–13-0.0635%12 Jul →
inferno13–9-0.0623%12 Jul →
dust27–130.0511%12 Jul →
cache8–00.0444%12 Jul →
inferno5–13-0.0223%9 Jul →
ancient12–60.0426%9 Jul →
cache13–20.0418%9 Jul →
inferno11–13-0.0221%7 Jul →
mirage9–13-0.0220%7 Jul →
mirage12–16-0.0323%1 Jul →
inferno11–13-0.0323%1 Jul →
dust27–13-0.0421%1 Jul →
mirage8–130.0329%18 Jun →
inferno13–80.0316%18 Jun →
ancient4–13-0.0316%18 Jun →
dust215–150.0221%18 Jun →
nuke13–60.0629%18 Jun →
mirage13–110.0233%18 Jun →
nuke13–100.0327%1 Jun →
ancient13–9-0.0038%1 Jun →
overpass13–100.0722%1 Jun →
overpass13–60.0521%1 Jun →
dust211–13-0.0318%1 Jun →
mirage9–130.0113%31 May →
dust213–110.0127%31 May →
ancient13–60.0413%29 May →
dust213–110.0420%29 May →
anubis13–3-0.0417%29 May →
ancient16–140.0418%29 May →
dust211–13-0.0526%29 May →
nuke13–00.0517%24 May →
dust213–10-0.0132%24 May →
mirage11–130.0319%24 May →
cache13–6-0.0027%15 May →
cache16–13-0.0327%15 May →
nuke16–130.0223%15 May →
dust29–13-0.0117%26 Apr →
ancient3–13-0.099%24 Apr →
inferno16–120.0123%24 Apr →
mirage13–7-0.0219%24 Apr →
dust213–10.0012%24 Apr →
anubis16–130.0212%24 Apr →
dust213–70.0417%5 Mar →
overpass4–13-0.0413%5 Mar →
inferno16–14-0.046%5 Mar →
overpass15–150.0414%22 Feb →
mirage13–10-0.0324%22 Feb →
inferno16–120.0415%22 Feb →
ancient5–13-0.0416%22 Feb →
nuke13–60.0521%22 Feb →
mirage10–13-0.0313%22 Feb →
dust216–140.0523%22 Feb →
overpass14–160.0115%21 Feb →
ancient12–16-0.0125%21 Feb →
mirage5–13-0.0621%21 Feb →
dust24–13-0.0518%21 Feb →
nuke9–130.0110%21 Feb →
dust27–13-0.0818%21 Feb →
mirage3–130.0320%19 Feb →
inferno10–13-0.0621%19 Feb →
nuke7–13-0.0321%19 Feb →
dust210–13-0.0323%19 Feb →
inferno7–13-0.0214%19 Feb →
dust211–130.0514%18 Feb →
nuke13–90.0310%18 Feb →
inferno13–90.0320%18 Feb →
dust213–90.0215%18 Feb →
inferno12–16-0.0415%15 Feb →
dust28–13-0.0224%15 Feb →
dust27–13-0.0813%14 Feb →

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 →

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