Onkel John

Onkel John — CS2 Stats

76561198005189137[U:1:44923409]Steam profile ↗✓ No bans

1,817Tracked matches38%Win rate2020Tracked since
CSDB Rating4.5 DevelopingSupport
WingmanMaster Guardian II
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 17,038 +2,560 31 Mar – 4 Jul · 9 days played
14,47818,563peak 18,56331 Mar4 Jul
18,563Peak Premier in tracked matches
1,217Highest Faceit ELO seen on CSDB
40Days played since 2026-03-11

Faceit ELO

  • At peak — 1,217
  • Next: Level 7 at 1,351 — 134 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

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

Share this profile

CSDB.GGOnkel JohnPEAK ELO1,217csdb.gg/stats

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Performance scores

Aim65
Positioning41
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY52–44–4Last 10052%Win rateLLWWWWLTWL

Last 10 vs previous 10: +40pp win rate · −0.01 avg rating · +2.2pp headshot accuracy · −98ms reaction

Win rate up 40pp 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 628ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 586ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 635ms

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).

Aim6.5
Utility4.8
Positioning4.1
Opening Duels0.8
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

Twistzz

Plays most like Twistzz 88% 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

Areas to improve

T-side openings. Opening success drops from 41% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 663ms 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

Aim6.5
Positioning4.1
Utility4.8
Mechanics8.1
Opening Duels1.4
Win Impact1.0

Composite 4.5/10 (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 rating-0.02−0.04
first ⅓ avg 0.02 → last ⅓ avg -0.02
Reaction time666ms+8ms
first ⅓ avg 657ms → last ⅓ avg 666ms
Headshot accuracy19.6%+0.0%
first ⅓ avg 19.6% → last ⅓ avg 19.6%

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

0.18Best match rating · 9–4 · inferno, 13 Mar →
44%Best headshot accuracy · 9–4 · inferno, 13 Mar →
453msFastest reaction time · 8–13 · inferno, 4 Sept →
13–1Biggest win · inferno, 14 Mar →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
7–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 65% over 20mirageWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
infernoB2814–1450%0.01
nukeS2013–765%-0.00
ancientB136–746%0.01
overpassA117–464%-0.00
mirageC94–544%-0.01
dust2B84–450%-0.03
cache—41–325%-0.03
train—41–325%-0.02
anubis—32–167%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

233Matches
53%Win rate
1.01Avg K/D
73.3ADR
47%Headshot %

Clutches & streaks

37%1v1 clutch win
15%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno2548%0.9916.7
Ancient1753%1.0715.5
Nuke1060%0.9015.1
Mirage1050%0.8514.6
Dust2888%1.1317.5
Vertigo650%0.7913.5
Overpass683%1.1814.7
Anubis30%0.7412.3

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.

20.0%Headshot accuracy
32.9%Accuracy (enemy spotted)
31.9%Spray accuracy
86.3%Counter-strafing
9.4°Preaim
663msReaction time
22.7%T opening success
40.9%CT opening success
0.66Enemies flashed / flash
1.9%Flash assists
7.46HE damage / grenade
9.44Flashes / 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 22.6665% — below the 40% mark we flag

Spend your practice time on Mirage

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

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache4–13-0.1225%18 Sept →
dust27–13-0.0217%18 Sept →
inferno13–40.0417%12 Sept →
anubis13–7-0.0130%12 Sept →
cache13–9-0.0318%4 Sept →
ancient13–110.0121%4 Sept →
inferno8–13-0.0613%4 Sept →
anubis15–15-0.0121%3 Sept →
nuke13–8-0.0112%3 Sept →
train8–13-0.0229%29 Aug →
ancient4–130.0424%7 Aug →
nuke11–130.0316%7 Aug →
overpass17–19-0.0715%31 Jul →
inferno10–13-0.0114%31 Jul →
cache11–130.0124%30 Jul →
dust213–11-0.0222%30 Jul →
inferno8–13-0.0628%30 Jul →
ancient7–13-0.0611%30 Jul →
inferno11–130.0612%30 Jul →
nuke6–13-0.0114%30 Jul →
train4–13-0.0115%29 Jul →
inferno13–30.0418%29 Jul →
mirage5–13-0.0326%29 Jul →
dust29–13-0.0223%28 Jul →
dust213–8-0.0425%25 Jul →
nuke13–10-0.0127%24 Jul →
ancient4–13-0.0418%19 Jul →
inferno8–13-0.0425%19 Jul →
nuke13–7-0.0417%18 Jul →
overpass16–140.0025%18 Jul →
overpass13–90.0116%16 Jul →
nuke12–160.0215%16 Jul →
inferno7–13-0.0515%16 Jul →
cache10–130.0121%13 Jul →
mirage6–13-0.0214%13 Jul →
overpass13–4-0.029%13 Jul →
inferno13–10-0.0117%4 Jul →
overpass13–20.0019%4 Jul →
nuke10–13-0.0326%4 Jul →
overpass19–16-0.0118%19 Jun →
nuke13–60.0119%19 Jun →
inferno7–13-0.0333%19 Jun →
train9–13-0.0128%19 Jun →
mirage13–110.0213%13 Jun →
mirage13–60.0617%13 Jun →
inferno7–13-0.0721%13 Jun →
dust211–13-0.0827%12 Jun →
inferno2–130.0220%12 Jun →
overpass9–130.0324%4 Jun →
nuke13–7-0.033%24 May →
nuke10–13-0.0417%22 May →
mirage4–13-0.0311%22 May →
dust213–11-0.0316%22 May →
nuke13–8-0.0118%15 May →
inferno13–10-0.0320%15 May →
inferno13–11-0.0418%15 May →
nuke6–130.0021%12 May →
dust211–13-0.0715%12 May →
mirage13–8-0.0125%12 May →
nuke10–13-0.0024%5 May →
mirage13–11-0.0618%28 Apr →
nuke13–70.0413%17 Apr →
mirage9–130.0110%17 Apr →
ancient13–10-0.0414%17 Apr →
nuke13–80.0011%17 Apr →
inferno5–13-0.0814%15 Apr →
dust216–120.0418%15 Apr →
inferno13–8-0.0232%11 Apr →
train13–7-0.0321%11 Apr →
ancient14–160.0325%6 Apr →
overpass15–150.0018%6 Apr →
inferno11–13-0.0327%2 Apr →
inferno13–90.0518%2 Apr →
overpass13–90.0520%2 Apr →
nuke13–7-0.0414%2 Apr →
inferno9–13-0.0413%2 Apr →
ancient13–8-0.0415%1 Apr →
overpass13–7-0.0215%1 Apr →
inferno13–50.0517%1 Apr →
inferno8–10.0837%31 Mar →
ancient13–50.1114%31 Mar →
ancient13–7-0.0217%31 Mar →
ancient9–130.0016%27 Mar →
nuke13–9-0.0223%27 Mar →
overpass15–150.0012%27 Mar →
mirage9–130.0117%27 Mar →
nuke13–8-0.0413%27 Mar →
inferno13–20.0324%27 Mar →
anubis13–9-0.0425%20 Mar →
ancient6–130.0419%14 Mar →
nuke13–40.0715%14 Mar →
inferno6–13-0.0211%14 Mar →
inferno13–10.0919%14 Mar →
inferno9–40.1120%13 Mar →
inferno9–40.0319%13 Mar →
inferno9–40.1844%13 Mar →
inferno8–8-0.0216%13 Mar →
ancient13–20.0723%12 Mar →
nuke13–30.0412%12 Mar →
ancient14–160.0316%11 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 →

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