vicKyGerini0

vicKyGerini0 — CS2 Stats

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

858Tracked matches37%Win rate2020Tracked since
CSDB Rating5.2 DevelopingSupport
Premier CS Rating21,451Top 50% of 203,074 CSDB-tracked playersPink band · top ~6.9% of ranked players (population est.)
CSDB Leaderboard#61352 of 250051 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 30 Sep 2026 (6 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: 21,451 -425 6 Feb – 30 Sept · 18 days played
20,54326,417peak 26,4176 Feb30 Sept
Faceit ELO: 1,844 +0 11 Sept – 12 Sept · 2 observations
1,8441,844peak 1,84411 Sept12 Sept
26,537Peak Premier in tracked matches
1,844Highest Faceit ELO seen on CSDB
29Days played since 2026-02-06

Faceit ELO

  • At peak — 1,844
  • 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

  • 4,966 below peak (26,417)
  • -4,966 over 90 days
  • Next: Red band at 25,000 — 3,549 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. 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 rankedPREMIER21,451 · Pink bandPEAK ELO1,844csdb.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

Aim62
Positioning57
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY47–51–2Last 10047%Win rateWLWWLWLLLW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −2.2pp headshot accuracy · +14ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 553ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 581ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 574ms

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 (+1.1 against its own average).

Aim6.2
Utility5.9
Positioning5.7
Opening Duels4.0
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

jL

Plays most like jL 83% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 572ms 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

Aim6.2
Positioning5.7
Utility5.9
Mechanics4.9
Opening Duels4.1
Win Impact0.6

Composite 5.2/10 (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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time579ms−76ms
first ⅓ avg 654ms → last ⅓ avg 579ms
Headshot accuracy19.2%+2.5%
first ⅓ avg 16.7% → last ⅓ avg 19.2%

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.

Personal bests

0.07Best match rating · 13–10 · overpass, 1 Jun →
44%Best headshot accuracy · 8–0 · cache, 12 Jul →
391msFastest reaction time · 3–13 · anubis, 25 Aug →
13–0Biggest win · nuke, 24 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–9In matches decided by ≤2 rounds
15Overtime games

Map breakdown

cacheBest map · 75% over 8overpassWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C2511–1444%-0.01
infernoC187–1139%-0.01
mirageC166–1038%-0.01
nukeS139–469%0.01
ancientC104–640%-0.02
cacheS86–275%0.01
overpassD62–433%0.02
anubis—42–250%-0.00

Across the last 100 tracked matches.

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

Faceit stats

Combat

1,212Matches
53%Win rate
0.84Avg K/D
72.5ADR
44%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust23549%0.9716.0
Inferno3367%1.0717.1
Mirage2941%0.9413.3
Nuke1974%1.2617.8
Ancient1644%0.8613.9
Anubis1060%0.9817.0
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.

19.1%Headshot accuracy
34.0%Accuracy (enemy spotted)
36.9%Spray accuracy
72.0%Counter-strafing
11.0°Preaim
572msReaction time
40.5%T opening success
52.1%CT opening success
0.60Enemies flashed / flash
6.5%Flash assists
8.31HE damage / grenade
10.83Flashes / match

Recommended for you

Spend your practice time on Overpass

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 6 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–11-0.0513%30 Sept →
inferno8–13-0.0213%30 Sept →
dust213–4-0.0215%30 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 →
mirage13–30.0419%14 Feb →
nuke13–8-0.0411%14 Feb →
dust213–30.0413%9 Feb →
inferno13–6-0.0617%9 Feb →
overpass7–13-0.0317%6 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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