vince

vince — CS2 Stats

76561198012579463[U:1:52313735]Steam profile ↗✓ No bans

1,651Tracked matches53%Win rate2020Tracked since
CSDB Rating6.0 SolidSupport
Premier CS Rating17,284Purple band · top ~19.3% of ranked players (population est.)
FaceitLevel 10 · 2,147 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (22 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: 17,284 -8,616 2 Nov – 14 Oct · 12 days played
16,62427,401peak 27,4012 Nov14 Oct
Faceit ELO: 2,147 +0 22 Sept – 3 Oct · 2 observations
2,1472,147peak 2,14722 Sept3 Oct
27,662Peak Premier in tracked matches
2,147Highest Faceit ELO seen on CSDB
50Days played since 2025-11-02

Faceit ELO

  • At peak — 2,147
  • Next: 2,500 ELO at 2,500 — 353 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-22
  • Level 9 first seen 2026-09-22

Premier CS Rating

  • 10,117 below peak (27,401)
  • Next: Pink band at 20,000 — 2,716 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Purple band first seen 2026-10-03
  • Blue band first seen 2026-10-03

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.GGvinceFACEITLevel 10 · 2,147 ELOSTANDINGTop 12.4% of rankedPREMIER17,284 · Purple bandPEAK ELO2,147csdb.gg/stats

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Performance scores

Aim78
Positioning51
Utility57

0–100 skill scores via Leetify.

Recent form

HOT56–44Last 10056%Win rateWLLLWWWWWW

Last 10 vs previous 10: +30pp win rate · −0.03 avg rating · −0.1pp headshot accuracy · +16ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 584ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 545ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 537ms

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 (+1.5 against its own average).

Aim7.8
Utility5.7
Positioning5.1
Opening Duels2.5
Clutch3.4

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.

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

ZywOo

Plays most like ZywOo 93% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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 51% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.8
Positioning5.1
Utility5.7
Mechanics6.3
Opening Duels2.6
Win Impact6.1

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time556ms−55ms
first ⅓ avg 611ms → last ⅓ avg 556ms
Headshot accuracy19.1%−0.2%
first ⅓ avg 19.4% → last ⅓ avg 19.1%

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

0.12Best match rating · 2–13 · nuke, 16 Sept →
32%Best headshot accuracy · 13–10 · mirage, 25 Aug →
359msFastest reaction time · 10–13 · inferno, 13 Aug →
13–2Biggest win · mirage, 24 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
13–4In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 70% over 23dust2Weakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB2413–1154%-0.00
infernoS2316–770%-0.02
ancientA138–562%0.01
dust2D103–730%-0.01
overpassS107–370%-0.01
nukeC94–544%-0.00
cacheC83–538%-0.00
anubis—21–150%-0.02
train—11–0100%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,225Matches
52%Win rate
1.03Avg K/D
72.8ADR
47%Headshot %

Clutches & streaks

37%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage25143%0.9814.6
Dust220750%1.0014.9
Inferno18658%1.0614.9
Ancient15055%0.9714.4
Anubis9554%0.9815.1
Nuke8853%1.0415.8
Overpass4058%1.1714.9
Cache1145%0.9513.8

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.

19.4%Headshot accuracy
35.3%Accuracy (enemy spotted)
40.3%Spray accuracy
78.3%Counter-strafing
9.7°Preaim
538msReaction time
26.4%T opening success
50.7%CT opening success
0.63Enemies flashed / flash
9.3%Flash assists
5.46HE damage / grenade
8.32Flashes / 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 26.4095% — below the 40% mark we flag

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–5-0.0324%14 Oct →
nuke16–19-0.0122%14 Oct →
cache6–130.0525%11 Oct →
mirage3–13-0.0314%4 Oct →
inferno13–8-0.0416%1 Oct →
dust213–11-0.028%1 Oct →
mirage13–4-0.0024%1 Oct →
inferno13–8-0.0423%1 Oct →
mirage13–11-0.0221%22 Sept →
dust213–5-0.0422%22 Sept →
mirage3–13-0.0319%22 Sept →
nuke13–10-0.0318%22 Sept →
cache13–6-0.0218%21 Sept →
dust27–130.0013%17 Sept →
nuke2–130.1225%16 Sept →
ancient13–90.0514%12 Sept →
cache8–130.0228%25 Aug →
inferno5–13-0.0115%25 Aug →
mirage13–100.0732%25 Aug →
inferno4–13-0.0222%22 Aug →
cache8–130.0618%21 Aug →
cache1–13-0.078%21 Aug →
mirage11–13-0.0311%21 Aug →
nuke13–110.0419%21 Aug →
cache13–80.0328%18 Aug →
inferno10–13-0.0523%13 Aug →
inferno13–4-0.0316%11 Aug →
mirage13–4-0.0220%11 Aug →
cache13–6-0.0214%11 Aug →
mirage9–13-0.0218%3 Aug →
ancient16–130.0415%2 Aug →
mirage13–70.0112%28 Jul →
mirage16–140.0427%24 Jul →
mirage13–20.0127%24 Jul →
dust213–60.0118%23 Jul →
cache7–13-0.0831%10 Jul →
dust210–13-0.0125%10 Jul →
overpass17–19-0.085%28 Mar →
nuke8–13-0.0722%28 Mar →
nuke9–13-0.0518%25 Mar →
inferno13–7-0.0218%19 Mar →
mirage13–10-0.059%19 Mar →
ancient13–60.0314%11 Mar →
overpass16–140.0214%11 Mar →
overpass13–30.0914%4 Mar →
mirage9–130.0119%4 Mar →
overpass3–8-0.0413%4 Mar →
mirage6–130.0117%4 Mar →
mirage13–110.0118%24 Feb →
inferno13–100.0318%24 Feb →
overpass13–5-0.0115%20 Feb →
inferno13–10-0.0518%20 Feb →
mirage13–50.0317%14 Feb →
ancient7–130.019%14 Feb →
mirage8–130.0324%11 Feb →
inferno13–11-0.0318%11 Feb →
inferno16–130.0629%5 Feb →
inferno13–7-0.056%26 Jan →
overpass11–13-0.0312%26 Jan →
anubis8–130.0216%20 Jan →
anubis13–8-0.0623%17 Jan →
nuke8–13-0.0017%15 Jan →
dust210–130.0218%7 Jan →
inferno3–13-0.0517%7 Jan →
dust210–13-0.0417%23 Dec →
inferno19–15-0.0220%23 Dec →
mirage9–13-0.0632%23 Dec →
overpass16–140.0319%22 Dec →
inferno6–13-0.0420%22 Dec →
overpass13–11-0.0220%12 Dec →
ancient13–6-0.0124%12 Dec →
train13–90.0414%8 Dec →
mirage8–13-0.0115%8 Dec →
ancient9–13-0.0113%8 Dec →
nuke13–70.0122%8 Dec →
dust28–13-0.0310%8 Dec →
inferno16–13-0.0016%5 Dec →
ancient26–28-0.0115%5 Dec →
inferno6–130.0224%3 Dec →
mirage13–70.0823%3 Dec →
ancient3–13-0.0318%3 Dec →
dust29–130.0732%3 Dec →
mirage8–13-0.0418%2 Dec →
ancient13–8-0.0215%2 Dec →
inferno16–14-0.0131%30 Nov →
mirage13–100.0118%30 Nov →
nuke16–14-0.0023%26 Nov →
inferno3–13-0.1013%16 Nov →
ancient7–13-0.0425%16 Nov →
mirage2–13-0.0613%16 Nov →
inferno13–60.0127%16 Nov →
ancient13–60.0423%9 Nov →
overpass13–11-0.0017%9 Nov →
inferno13–6-0.0515%9 Nov →
inferno16–120.0116%6 Nov →
overpass13–11-0.0320%6 Nov →
dust29–13-0.0326%6 Nov →
ancient22–190.0217%4 Nov →
ancient13–90.0418%4 Nov →
mirage13–90.0516%2 Nov →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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