Vinci

Vinci — CS2 Stats

SE76561197992778268[U:1:32512540]Steam profile ↗✓ No bans

1,226Tracked matches33%Win rate2020Tracked since
2,657Hours in CS18Hrs last 2 wks
CSDB Rating6.1 SolidPositional Player
Premier CS Rating19,475Top 50% of 211,494 CSDB-tracked playersPurple band · top ~10.6% of ranked players (population est.)
CSDB Leaderboard#92696 of 258447 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 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: 19,475 -1,925 7 Sept – 28 Oct · 26 days played
19,47522,550peak 22,5507 Sept28 Oct
22,550Peak Premier in tracked matches
26Days played since 2026-09-07

Premier CS Rating

  • 3,075 below peak (22,550)
  • -1,306 over 30 days · declining
  • Next: Pink band at 20,000 — 525 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-16
  • Purple band first seen 2026-09-16

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

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate39.4%44.4%46.9%7.5% short
Shot accuracy10.5%11.9%13.0%2.5% short
Kill/death ratio1.071.031.08meets
Match win rate44.9%45.2%46.7%1.8% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGVinciPREMIER19,475 · Purple bandcsdb.gg/stats

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Performance scores

Aim89
Positioning68
Utility46

0–100 skill scores via Leetify.

Recent form

COLD43–57Last 10043%Win rateLLLWLWLLLL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +2.6pp headshot accuracy · −19ms reaction

Win rate −10pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 480ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 483ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 493ms

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: Positional Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim8.9
Utility4.6
Positioning6.8
Opening Duels4.6

Sharp aimerStrong CT-side openerLimited utility dependence

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 90% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution.

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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 58% on CT to 43% 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

Aim8.9
Positioning6.8
Utility4.6
Mechanics6.0
Opening Duels5.2
Win Impact0.0

Composite 6.1/10 (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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time479ms+1ms
first ⅓ avg 479ms → last ⅓ avg 479ms
Headshot accuracy15.7%+1.5%
first ⅓ avg 14.1% → last ⅓ avg 15.7%

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

0.20Best match rating · 4–0 · rush_001, 12 Oct →
33%Best headshot accuracy · 10–13 · dust2, 12 Oct →
359msFastest reaction time · 5–13 · dust2, 26 Sept →
13–0Biggest win · anubis, 9 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
8–4In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 63% over 16dust2Weakest map · 8% over 13
MapGradePlayedRecordWin rateAvg rating
anubisA1911–858%0.03
nukeA1610–663%0.02
cacheA1610–663%0.03
dust2D131–128%-0.01
ancientD113–827%-0.01
mirageD111–109%-0.01
infernoC94–544%0.03
rush_001—43–175%0.09
vertigo—10–10%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (8% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

70,051Lifetime kills
1.07K/D · Top 50% of Purple band
3,634Matches
44.9%Match win rate
39.4%Headshot %
10.5%Shot accuracy
8,654MVPs
1,546Hours (in match)
3,210Bombs planted
1,018Bombs defused

Most-used weapons

AK-4714,888
AWP10,707
P2502,831
MP91,872
MP71,194

Lifetime map wins

7,725inferno
5,403nuke
3,639dust2
1,534vertigo
936train
50lake
43office
35bank

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.8%Headshot accuracy
41.9%Accuracy (enemy spotted)
44.3%Spray accuracy
76.8%Counter-strafing
7.5°Preaim
483msReaction time
43.0%T opening success
58.2%CT opening success
0.59Enemies flashed / flash
4.1%Flash assists
7.07HE damage / grenade
3.29Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.8144% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.2947 — below the 4 mark we flag

    Grenade Lineups →
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.

8% win rate across 13 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
dust210–13-0.0123%28 Oct →
dust212–16-0.0014%28 Oct →
ancient10–130.0210%28 Oct →
nuke13–70.0632%28 Oct →
dust25–130.0117%28 Oct →
nuke13–60.0915%26 Oct →
dust27–13-0.0114%26 Oct →
cache10–13-0.0122%26 Oct →
mirage8–130.0221%26 Oct →
dust29–130.066%23 Oct →
cache13–100.009%23 Oct →
inferno13–50.1312%23 Oct →
anubis11–13-0.0118%23 Oct →
anubis13–30.0625%22 Oct →
mirage5–13-0.0016%22 Oct →
ancient11–13-0.0318%22 Oct →
cache11–130.0311%20 Oct →
anubis8–13-0.0120%20 Oct →
nuke8–13-0.0410%20 Oct →
vertigo7–13-0.0613%19 Oct →
cache8–130.0311%15 Oct →
anubis13–40.0711%15 Oct →
dust216–120.0115%15 Oct →
ancient16–130.016%15 Oct →
dust25–13-0.0719%13 Oct →
mirage13–16-0.0211%13 Oct →
cache6–13-0.0811%13 Oct →
inferno8–130.0113%13 Oct →
cache13–10-0.047%12 Oct →
anubis13–110.0323%12 Oct →
dust210–130.0133%12 Oct →
cache13–110.0924%12 Oct →
rush_0014–00.079%12 Oct →
rush_0014–00.2020%12 Oct →
rush_0010–4-0.0121%12 Oct →
rush_0015–10.0926%12 Oct →
mirage8–13-0.0119%11 Oct →
anubis13–50.0612%11 Oct →
ancient10–13-0.0318%9 Oct →
nuke13–100.0420%9 Oct →
anubis13–00.068%9 Oct →
ancient13–80.0711%9 Oct →
mirage13–60.1210%9 Oct →
nuke7–13-0.0115%6 Oct →
mirage5–13-0.055%6 Oct →
dust28–130.0518%6 Oct →
cache7–13-0.0214%6 Oct →
dust24–13-0.060%5 Oct →
mirage3–13-0.056%5 Oct →
anubis13–60.0810%4 Oct →
inferno10–130.0324%4 Oct →
mirage3–13-0.0518%4 Oct →
dust28–13-0.048%4 Oct →
anubis13–50.1410%2 Oct →
nuke13–110.027%2 Oct →
ancient13–100.056%2 Oct →
inferno13–80.0710%2 Oct →
cache13–110.069%2 Oct →
nuke13–70.0719%2 Oct →
anubis9–13-0.057%1 Oct →
mirage5–13-0.0017%1 Oct →
mirage7–13-0.046%1 Oct →
nuke13–70.0020%1 Oct →
cache13–80.0414%29 Sept →
nuke13–50.0512%29 Sept →
anubis10–130.032%29 Sept →
dust28–130.0024%29 Sept →
cache13–30.138%26 Sept →
nuke12–16-0.0110%26 Sept →
cache13–40.1215%26 Sept →
inferno8–130.0313%26 Sept →
ancient3–130.0120%26 Sept →
dust25–13-0.0912%26 Sept →
mirage7–130.0322%24 Sept →
anubis13–50.0512%24 Sept →
nuke13–5-0.0211%24 Sept →
inferno13–110.0221%24 Sept →
nuke8–13-0.0422%22 Sept →
anubis6–13-0.0111%22 Sept →
nuke6–130.0010%22 Sept →
cache13–70.0519%22 Sept →
cache13–50.0416%20 Sept →
inferno3–13-0.0421%20 Sept →
ancient10–13-0.0210%20 Sept →
anubis6–13-0.0610%20 Sept →
inferno13–11-0.0113%18 Sept →
nuke13–20.1117%18 Sept →
ancient9–13-0.0417%14 Sept →
nuke7–130.0320%14 Sept →
anubis13–90.1013%14 Sept →
inferno11–130.0115%14 Sept →
anubis6–13-0.0032%10 Sept →
ancient9–130.0113%10 Sept →
anubis6–13-0.022%10 Sept →
cache9–13-0.057%10 Sept →
nuke13–110.0115%8 Sept →
ancient4–13-0.0913%8 Sept →
anubis16–140.0210%8 Sept →
cache13–90.0412%8 Sept →
anubis13–70.0310%7 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.