V1ncent Vega

V1ncent Vega — CS2 Stats

DE76561198305418367[U:1:345152639]Steam profile ↗✓ No bans

1,179Tracked matches52%Win rate2020Tracked since
1,059Hours in CS
CSDB Rating6.2 SolidSupport
Premier CS Rating24,991Top 25% of 211,827 CSDB-tracked playersPink band · top ~3% of ranked players (population est.)
CSDB Leaderboard#23422 of 258931 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (yesterday). 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: 24,991 -1,069 15 Jul – 30 Oct · 36 days played
24,88226,909peak 26,90915 Jul30 Oct
Faceit ELO: 2,080 +0 31 Aug – 9 Sept · 2 observations
2,0802,080peak 2,08031 Aug9 Sept
27,019Peak Premier in tracked matches
2,080Highest Faceit ELO seen on CSDB
42Days played since 2026-07-11

Premier CS Rating

  • 1,918 below peak (26,909)
  • -418 over 30 days · declining
  • -1,256 over 90 days
  • Next: Red band at 25,000 — 9 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-31
  • Pink band first seen 2026-08-31

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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 playerLevel 10 median
Headshot rate45.6%50.9%
Shot accuracy6.1%13.7%
Kill/death ratio1.171.09
Match win rate50.8%48.4%

Share this profile

CSDB.GGV1ncent VegaFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER24,991 · Pink bandPEAK ELO2,080csdb.gg/stats

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Performance scores

Aim85
Positioning50
Utility56

0–100 skill scores via Leetify.

Recent form

HOT44–50–6Last 10044%Win rateLWWWWWTWWL

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · +2.6pp headshot accuracy · +2ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 26%
  • Avg reaction 502ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 526ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 525ms

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 (+1.8 against its own average).

Aim8.5
Utility5.6
Positioning5.0
Opening Duels1.3
Clutch3.4

Sharp aimer

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

ropz

Plays most like ropz 89% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: 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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

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

Aim8.5
Positioning5.0
Utility5.6
Mechanics6.3
Opening Duels1.8
Win Impact5.6

Composite 6.2/10 (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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time523ms−29ms
first ⅓ avg 552ms → last ⅓ avg 523ms
Headshot accuracy20.9%+3.9%
first ⅓ avg 17.0% → last ⅓ avg 20.9%

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 · 13–5 · cache, 27 Jul →
37%Best headshot accuracy · 7–13 · nuke, 26 Sept →
391msFastest reaction time · 13–10 · mirage, 24 Sept →
13–1Biggest win · cache, 27 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 68% over 19infernoWeakest map · 30% over 27
MapGradePlayedRecordWin rateAvg rating
infernoD278–1930%0.01
dust2B2210–1245%0.00
cacheS1913–668%0.03
mirageD155–1033%-0.01
ancientB84–450%0.01
nukeC73–443%0.01
anubis—10–10%0.03
overpass—11–0100%0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 27). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,160Lifetime kills
1.17K/D · Top 50% of Level 10 players
2,228Matches
50.8%Match win rate · Top 50% of Level 10 players
45.6%Headshot %
6.1%Shot accuracy
6,332MVPs
1,059Hours (in match)
2,555Bombs planted
657Bombs defused

Most-used weapons

Lifetime map wins

7,269inferno
3,555dust2
2,207vertigo
1,473nuke
268train
245cbble
2ar_baggage
1ar_shoots

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

Faceit stats

Combat

583Matches
52%Win rate
1.21Avg K/D
82.6ADR
45%Headshot %

Clutches & streaks

37%1v1 clutch win
27%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno9462%1.4117.0
Mirage8448%1.0816.4
Dust26849%1.2017.7
Anubis5654%1.1216.9
Ancient5042%1.3017.4
Vertigo4840%1.2719.2
Nuke1547%1.2517.2
Train560%1.0115.0

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.

21.3%Headshot accuracy
35.0%Accuracy (enemy spotted)
41.0%Spray accuracy
78.2%Counter-strafing
7.7°Preaim
521msReaction time
37.9%T opening success
36.2%CT opening success
0.59Enemies flashed / flash
4.5%Flash assists
7.41HE damage / grenade
13.76Flashes / 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 37.8594% — 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.

30% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke9–130.0025%30 Oct →
dust213–40.0226%30 Oct →
inferno13–50.0420%30 Oct →
nuke13–60.0328%28 Oct →
dust213–80.0529%28 Oct →
cache13–9-0.0320%28 Oct →
inferno12–120.0821%27 Oct →
cache13–10.0015%27 Oct →
dust213–9-0.0514%26 Oct →
mirage3–13-0.0218%26 Oct →
cache13–90.0822%22 Oct →
inferno13–50.0419%22 Oct →
dust214–16-0.0413%21 Oct →
mirage3–130.0114%21 Oct →
cache12–16-0.0220%18 Oct →
cache7–13-0.0328%16 Oct →
dust212–12-0.0714%16 Oct →
inferno13–5-0.0423%16 Oct →
mirage13–100.1118%11 Oct →
inferno9–130.0222%5 Oct →
anubis6–130.0321%26 Sept →
nuke7–13-0.0337%26 Sept →
mirage13–10-0.0328%24 Sept →
inferno7–130.0536%16 Sept →
inferno15–150.0319%15 Sept →
nuke13–60.0130%14 Sept →
dust26–13-0.119%13 Sept →
ancient13–8-0.0213%3 Sept →
dust22–13-0.0624%25 Aug →
ancient11–130.0318%24 Aug →
overpass9–60.1016%24 Aug →
inferno8–80.0313%24 Aug →
dust213–110.0917%19 Aug →
inferno11–130.0824%19 Aug →
mirage5–13-0.0213%19 Aug →
inferno5–130.0012%18 Aug →
nuke12–120.0623%18 Aug →
ancient13–90.0718%18 Aug →
dust25–130.0421%13 Aug →
mirage5–13-0.0613%12 Aug →
dust213–9-0.0411%12 Aug →
nuke16–120.0727%11 Aug →
inferno13–10-0.0419%5 Aug →
cache13–50.0822%5 Aug →
dust23–13-0.0318%5 Aug →
cache13–90.0322%5 Aug →
mirage1–7-0.0720%5 Aug →
ancient13–80.0017%4 Aug →
cache16–140.0727%4 Aug →
dust29–130.0517%3 Aug →
mirage6–130.0117%3 Aug →
cache15–15-0.0220%3 Aug →
nuke8–13-0.0315%29 Jul →
cache13–50.0525%29 Jul →
dust210–13-0.0317%29 Jul →
cache13–50.1525%27 Jul →
mirage13–9-0.0117%27 Jul →
inferno4–13-0.0321%27 Jul →
mirage13–60.1013%26 Jul →
inferno6–130.0027%26 Jul →
ancient13–70.0428%26 Jul →
dust210–13-0.0420%23 Jul →
dust213–30.0313%23 Jul →
mirage10–13-0.0518%22 Jul →
inferno13–110.0411%22 Jul →
inferno10–13-0.0117%22 Jul →
mirage8–13-0.0115%21 Jul →
inferno13–10-0.0818%21 Jul →
dust213–50.0518%21 Jul →
mirage8–130.0018%20 Jul →
cache13–40.0021%20 Jul →
ancient8–130.0117%20 Jul →
dust28–130.0223%20 Jul →
inferno10–130.0223%20 Jul →
inferno4–130.029%19 Jul →
inferno5–130.0216%18 Jul →
dust213–7-0.0110%18 Jul →
inferno13–6-0.0317%18 Jul →
ancient11–13-0.0213%18 Jul →
cache11–13-0.0419%18 Jul →
ancient7–130.0113%17 Jul →
inferno6–13-0.0518%17 Jul →
cache13–80.1019%17 Jul →
inferno5–130.0416%17 Jul →
dust24–13-0.0314%16 Jul →
dust26–130.0716%16 Jul →
cache7–13-0.0012%16 Jul →
dust213–70.0118%16 Jul →
cache5–130.0022%16 Jul →
inferno2–13-0.0618%16 Jul →
inferno16–13-0.0213%15 Jul →
mirage13–80.0522%15 Jul →
inferno10–130.0114%15 Jul →
cache13–11-0.0318%15 Jul →
mirage2–13-0.109%15 Jul →
inferno4–130.0117%13 Jul →
inferno9–130.0220%13 Jul →
cache13–100.0625%12 Jul →
dust213–80.0922%11 Jul →
cache13–20.0713%11 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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