vikenteee

vikenteee — CS2 Stats

RO76561199823156563[U:1:1862890835]Steam profile ↗✓ No bans

271Tracked matches45%Win rate2025Tracked since
482Hours in CS
CSDB Rating4.2 DevelopingPositional Player
Premier CS Rating2,586Grey band · top ~89% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Nov 2026 (4 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: 2,586 -53 27 Jul – 10 Nov · 38 days played
2,5864,364peak 4,36427 Jul10 Nov
4,364Peak Premier in tracked matches
51Days played since 2026-07-27

Premier CS Rating

  • 1,778 below peak (4,364)
  • -1,230 over 30 days · declining
  • -1,153 over 90 days
  • Next: Light Blue band at 5,000 — 2,414 to go

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 Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate34.6%38.2%39.9%5.3% short
Shot accuracy0.0%3.6%7.0%7.0% short
Kill/death ratio1.190.830.92above
Match win rate43.1%40.2%42.3%above

This profile matches the typical Light Blue band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGvikenteeePREMIER2,586 · Grey bandcsdb.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

Aim39
Positioning85
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY44–48–8Last 10044%Win rateLLLLWWLWWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +3.4pp headshot accuracy · +68ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 9%
  • Avg reaction 541ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 563ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 529ms

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 (+4 against its own average).

Aim3.9
Utility3.7
Positioning8.5
Opening Duels5.9
Clutch0.0

Strong positioning

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

s1mple

Plays most like s1mple 58% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Strengths

T openings. 72% T opening-duel success — entries that actually open the round.

Areas to improve

Counter-strafing. Only 48% 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

Aim3.9
Positioning8.5
Utility3.7
Mechanics0.0
Opening Duels8.6
Win Impact3.3

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time530ms+0ms
first ⅓ avg 529ms → last ⅓ avg 530ms
Headshot accuracy13.4%−3.0%
first ⅓ avg 16.4% → last ⅓ avg 13.4%

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

0.32Best match rating · 9–2 · inferno, 6 Aug →
46%Best headshot accuracy · 13–11 · anubis, 18 Aug →
344msFastest reaction time · 6–9 · inferno, 11 Nov →
13–2Biggest win · dust2, 21 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
6–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 53% over 19vertigoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB2914–1548%0.01
anubisB1910–953%0.02
dust2C188–1044%0.04
ancientC156–940%0.03
nukeB84–450%0.03
vertigoD51–420%0.03
mirage—41–325%-0.02
office—10–10%0.02
cache—10–10%0.01

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,072Lifetime kills
1.19K/D · Top 10% of Grey band
1,773Matches
43.1%Match win rate · Top 50% of Grey band
34.6%Headshot %
0.0%Shot accuracy
5,561MVPs
482Hours (in match)
1,339Bombs planted
375Bombs defused

Most-used weapons

Lifetime map wins

6,587inferno
2,764dust2
1,120nuke
154vertigo
36office
13lake
7train
3italy

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

Faceit stats

Combat

4Matches
25%Win rate
0.95Avg K/D
51.4ADR
59%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust2250%0.848.5
Ancient10%1.001.0
Vertigo10%1.1317.0

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.

13.5%Headshot accuracy
32.9%Accuracy (enemy spotted)
31.9%Spray accuracy
48.5%Counter-strafing
9.5°Preaim
534msReaction time
71.5%T opening success
58.6%CT opening success
0.36Enemies flashed / flash
4.0%Flash assists
7.13HE damage / grenade
6.88Flashes / 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 13.4808% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3606 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Vertigo

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno6–90.0516%11 Nov →
mirage6–13-0.100%10 Nov →
mirage11–13-0.026%28 Oct →
dust213–160.028%26 Oct →
anubis13–100.1017%26 Oct →
dust213–100.0925%26 Oct →
anubis10–130.0324%25 Oct →
inferno13–11-0.0414%24 Oct →
nuke13–11-0.0116%24 Oct →
dust27–130.0226%21 Oct →
anubis6–13-0.020%21 Oct →
anubis2–13-0.1010%21 Oct →
dust213–20.0610%21 Oct →
dust24–13-0.078%18 Oct →
dust210–13-0.0218%18 Oct →
inferno8–80.0415%17 Oct →
dust213–30.0815%16 Oct →
inferno2–13-0.0023%13 Oct →
anubis12–120.029%12 Oct →
inferno9–13-0.0911%12 Oct →
dust213–80.0213%11 Oct →
nuke7–130.0219%11 Oct →
nuke13–5-0.0410%8 Oct →
inferno13–80.0416%2 Oct →
office4–130.0210%30 Sept →
vertigo3–130.0722%29 Sept →
dust24–130.0813%27 Sept →
inferno13–110.1112%27 Sept →
vertigo13–50.096%26 Sept →
anubis13–9-0.0010%26 Sept →
anubis8–00.038%25 Sept →
vertigo7–13-0.0111%25 Sept →
inferno2–130.0221%25 Sept →
ancient12–120.0213%24 Sept →
vertigo1–130.035%24 Sept →
vertigo6–13-0.0433%23 Sept →
dust213–100.0221%12 Sept →
inferno9–20.0518%12 Sept →
nuke13–100.028%8 Sept →
ancient13–100.0817%4 Sept →
ancient13–100.1014%3 Sept →
ancient5–130.0314%31 Aug →
dust25–130.0717%27 Aug →
inferno8–8-0.058%27 Aug →
inferno5–9-0.058%27 Aug →
inferno1–13-0.0013%26 Aug →
inferno9–40.0324%26 Aug →
anubis7–13-0.028%25 Aug →
anubis13–20.0810%25 Aug →
mirage7–13-0.0236%24 Aug →
ancient13–60.0318%23 Aug →
mirage13–60.0629%23 Aug →
ancient5–13-0.060%23 Aug →
anubis11–13-0.0211%23 Aug →
anubis10–130.0424%21 Aug →
inferno7–90.0311%19 Aug →
anubis13–110.0246%18 Aug →
anubis13–50.0227%12 Aug →
inferno2–9-0.1017%12 Aug →
anubis4–130.0325%11 Aug →
nuke1–13-0.0118%11 Aug →
dust210–130.0411%11 Aug →
ancient2–13-0.0215%11 Aug →
ancient8–130.0712%11 Aug →
inferno1–9-0.2610%11 Aug →
inferno13–110.1013%10 Aug →
nuke13–80.1227%10 Aug →
ancient16–13-0.0215%9 Aug →
ancient10–130.077%9 Aug →
inferno16–120.0124%9 Aug →
ancient8–13-0.0113%8 Aug →
anubis13–60.056%8 Aug →
ancient13–80.020%7 Aug →
inferno13–100.0616%7 Aug →
inferno8–8-0.0626%7 Aug →
dust213–60.0211%6 Aug →
inferno2–9-0.0046%6 Aug →
inferno1–9-0.0938%6 Aug →
inferno9–20.3240%6 Aug →
inferno9–13-0.017%5 Aug →
dust213–30.043%4 Aug →
inferno13–30.0617%3 Aug →
anubis14–160.0515%3 Aug →
anubis13–60.0612%3 Aug →
dust210–13-0.0325%2 Aug →
dust215–150.059%2 Aug →
cache9–130.0111%2 Aug →
ancient11–130.029%2 Aug →
inferno13–60.0723%1 Aug →
anubis13–90.0012%1 Aug →
inferno13–30.0318%1 Aug →
ancient5–130.1412%31 Jul →
dust210–130.0111%30 Jul →
nuke15–150.0913%30 Jul →
inferno5–10.0218%30 Jul →
ancient13–30.0418%30 Jul →
anubis13–11-0.0615%29 Jul →
inferno9–3-0.0813%29 Jul →
nuke15–150.088%27 Jul →
dust213–90.1530%27 Jul →

Match data via Leetify.

Recent teammates

Milestones

100 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.