.VensKan

.VensKan — CS2 Stats

76561197997224217[U:1:36958489]Steam profile ↗✓ No bans

1,703Tracked matches64%Win rate2020Tracked since
4,756Hours in CS
CSDB Rating5.8 SolidClutch Specialist
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Oct 2026 (23 days ago). Ranks are recorded once per day this page is viewed.

+3Tracked matches · now 1,703
+3.6ppWin rate · 60.7% → 64.3%

Rating over time

Premier CS Rating: 23,493 +1,338 20 Mar – 5 Jul · 20 days played
21,27923,493peak 23,49320 Mar5 Jul
23,493Peak Premier in tracked matches
1,957Highest Faceit ELO seen on CSDB
37Days played since 2026-03-08

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate50.9%48.2%50.9%meets
Shot accuracy18.0%13.2%13.7%above
Kill/death ratio1.161.071.09above
Match win rate44.3%46.9%48.4%4.1% short

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG.VensKanFACEITLevel 9STANDINGTop 20.7% of rankedPEAK ELO1,957csdb.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

Aim66
Positioning43
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY50–45–5Last 10050%Win rateLLWWTWWLWW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +0.6pp headshot accuracy · −58ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 511ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 554ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 583ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+4.4 against its own average).

Aim6.6
Utility6.0
Positioning4.3
Opening Duels2.0
Clutch10.0

Reliable in 1v1s

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

NiKo

Plays most like NiKo 86% 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. 587ms 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

Aim6.6
Positioning4.3
Utility6.0
Mechanics6.3
Opening Duels1.1
Win Impact9.8

Composite 5.8/10 (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 time590ms−23ms
first ⅓ avg 613ms → last ⅓ avg 590ms
Headshot accuracy21.1%+0.7%
first ⅓ avg 20.4% → last ⅓ avg 21.1%

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

0.16Best match rating · 13–1 · nuke, 20 Mar →
38%Best headshot accuracy · 13–0 · mirage, 22 Apr →
391msFastest reaction time · 13–7 · nuke, 1 Jul →
13–0Biggest win · mirage, 22 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
7–3In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 70% over 10dust2Weakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
mirageA2212–1055%0.02
nukeS1611–569%0.01
cacheB157–847%0.03
anubisD143–1121%-0.01
infernoA106–460%0.00
ancientS107–370%-0.01
dust2D91–811%0.02
overpass—43–175%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

252,665Lifetime kills
1.16K/D · Top 50% of Level 9 players
9,225Matches
44.3%Match win rate
50.9%Headshot % · Top 50% of Level 9 players
18.0%Shot accuracy · Top 25% of Level 9 players
19,344MVPs
4,756Hours (in match)
6,648Bombs planted
2,361Bombs defused

Most-used weapons

AK-47123,564
AWP16,196
P2507,167
FAMAS3,816
Knife3,388

Lifetime map wins

18,882inferno
8,417dust2
7,921nuke
3,038train
1,803vertigo
1,622cbble
184aztec
130lake

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

Faceit stats

Combat

376Matches
57%Win rate
1.17Avg K/D
95.1ADR
45%Headshot %

Clutches & streaks

73%1v1 clutch win
44%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno1354%1.4019.1
Mirage1060%1.3617.8
Ancient1060%1.1917.5
Anubis786%1.4017.4
Vertigo560%1.2514.2
Overpass450%1.1119.8
Dust2475%1.2019.8
Nuke367%1.4721.3

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.

21.0%Headshot accuracy
32.0%Accuracy (enemy spotted)
33.2%Spray accuracy
78.6%Counter-strafing
10.0°Preaim
587msReaction time
31.7%T opening success
36.8%CT opening success
0.57Enemies flashed / flash
6.9%Flash assists
7.11HE damage / grenade
9.37Flashes / 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 31.7141% — 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.

11% win rate across 9 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
cache13–160.0317%25 Oct →
dust29–13-0.0417%24 Oct →
mirage13–6-0.0025%24 Oct →
nuke13–110.0010%16 Oct →
cache15–150.0028%26 Jul →
inferno16–140.0316%26 Jul →
cache13–80.0619%25 Jul →
anubis10–13-0.0131%25 Jul →
ancient11–50.0021%24 Jul →
cache13–100.0320%22 Jul →
cache13–100.0217%22 Jul →
mirage7–130.0518%22 Jul →
nuke9–13-0.0314%15 Jul →
ancient13–7-0.0519%5 Jul →
anubis13–20.0535%4 Jul →
ancient13–110.0514%3 Jul →
nuke13–7-0.0319%1 Jul →
nuke13–11-0.0121%1 Jul →
inferno13–70.0522%1 Jul →
inferno9–13-0.0518%1 Jul →
cache8–130.1029%21 Jun →
anubis10–130.0027%17 Jun →
dust29–13-0.0419%17 Jun →
mirage8–13-0.0027%17 Jun →
nuke13–7-0.0429%14 Jun →
ancient13–10-0.0015%14 Jun →
inferno13–110.0324%12 Jun →
mirage13–100.0323%12 Jun →
nuke13–20.1220%12 Jun →
ancient15–15-0.0123%12 Jun →
overpass13–16-0.0122%12 Jun →
cache11–13-0.0315%26 May →
anubis9–130.0022%25 May →
dust210–130.0021%25 May →
mirage9–130.0124%16 May →
cache13–30.0137%16 May →
dust28–13-0.0219%16 May →
anubis3–13-0.0813%16 May →
dust213–40.1219%9 May →
cache13–100.028%9 May →
anubis8–130.0120%9 May →
nuke10–130.0316%9 May →
mirage13–60.0718%9 May →
cache9–130.0728%9 May →
ancient13–8-0.0424%8 May →
nuke13–10-0.0222%8 May →
inferno7–10.0726%8 May →
anubis9–13-0.0124%8 May →
overpass13–80.0117%8 May →
mirage13–80.0516%8 May →
cache13–100.0115%8 May →
mirage8–13-0.0122%2 May →
inferno7–13-0.0416%2 May →
cache8–13-0.0120%2 May →
dust27–13-0.0212%2 May →
mirage13–10.0626%2 May →
anubis10–13-0.0212%2 May →
cache12–120.0820%30 Apr →
cache13–50.0311%30 Apr →
cache8–130.0114%30 Apr →
anubis7–13-0.0819%28 Apr →
nuke13–6-0.0419%28 Apr →
mirage2–13-0.0520%28 Apr →
inferno14–16-0.0317%26 Apr →
overpass13–50.0313%26 Apr →
nuke13–30.0518%26 Apr →
anubis13–40.1023%26 Apr →
mirage9–13-0.0119%23 Apr →
anubis7–13-0.0118%23 Apr →
mirage16–140.0217%22 Apr →
nuke2–130.0223%22 Apr →
mirage13–00.1038%22 Apr →
overpass13–30.0423%13 Apr →
mirage13–10.0623%12 Apr →
dust210–130.1021%11 Apr →
mirage13–70.1219%11 Apr →
inferno13–110.0126%11 Apr →
mirage13–30.0411%11 Apr →
ancient13–90.0011%11 Apr →
mirage0–13-0.0735%11 Apr →
dust27–130.0015%11 Apr →
dust213–160.0317%5 Apr →
ancient7–13-0.0116%3 Apr →
nuke13–160.0217%3 Apr →
mirage13–2-0.0317%3 Apr →
inferno15–15-0.0115%3 Apr →
anubis6–130.0129%28 Mar →
nuke16–130.0216%28 Mar →
mirage6–13-0.0511%28 Mar →
inferno13–2-0.0129%28 Mar →
mirage11–130.0133%28 Mar →
anubis8–13-0.0610%28 Mar →
mirage13–100.0522%28 Mar →
nuke13–90.0230%20 Mar →
nuke13–10.1620%20 Mar →
ancient13–10.0224%20 Mar →
anubis13–8-0.0316%20 Mar →
mirage9–13-0.0020%11 Mar →
nuke12–12-0.0311%9 Mar →
ancient10–13-0.0519%8 Mar →

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.