Schokoellsen

Schokoellsen — CS2 Stats

BT76561199240821750[U:1:1280556022]Steam profile ↗✓ No bans

650Tracked matches43%Win rate2023Tracked since
848Hours in CS12Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
Premier CS Rating19,128Top 50% of 215,386 CSDB-tracked playersPurple band · top ~12% of ranked players (population est.)
CSDB Leaderboard#98563 of 261537 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 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: 19,128 -5,622 23 Jun – 12 Nov · 21 days played
18,41525,864peak 25,86423 Jun12 Nov
Faceit ELO: 1,695 +0 13 Sept – 23 Sept · 2 observations
1,6951,695peak 1,69513 Sept23 Sept
25,864Peak Premier in tracked matches
1,695Highest Faceit ELO seen on CSDB
29Days played since 2026-06-23

Premier CS Rating

  • 6,736 below peak (25,864)
  • -3,325 over 90 days
  • Next: Pink band at 20,000 — 872 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-13
  • Purple band first seen 2026-09-13

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 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 rate49.7%44.4%46.9%above
Shot accuracy0.0%11.9%13.0%13.0% short
Kill/death ratio0.991.031.080.09 short
Match win rate53.0%45.2%46.7%above

This profile matches the typical Pink band player on 2 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.GGSchokoellsenPREMIER19,128 · Purple bandPEAK ELO1,695csdb.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

Aim79
Positioning54
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY46–46–8Last 10046%Win rateWLTWLLWLWL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +9.1pp headshot accuracy · −102ms 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 0.02
  • Avg headshot accuracy 30%
  • Avg reaction 548ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 551ms

Last 20

  • 7–10–3 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 602ms

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 (+0.9 against its own average).

Aim7.9
Utility4.9
Positioning5.4
Opening Duels2.8
Clutch4.8

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 96% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; 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

Areas to improve

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

Reaction time. 622ms 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

Aim7.9
Positioning5.4
Utility4.9
Mechanics7.6
Opening Duels2.9
Win Impact2.6

Composite 5.9/10 (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 rating0.02+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time610ms−31ms
first ⅓ avg 641ms → last ⅓ avg 610ms
Headshot accuracy19.1%+0.4%
first ⅓ avg 18.7% → last ⅓ avg 19.1%

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

0.26Best match rating · 9–3 · nuke, 5 Aug →
100%Best headshot accuracy · 0–13 · nuke, 23 Jul →
391msFastest reaction time · 9–6 · inferno, 7 Jul →
13–1Biggest win · ancient, 20 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 57% over 7ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B2614–1254%0.00
mirageC207–1335%-0.02
infernoC125–742%-0.00
cacheA116–555%-0.01
nukeA95–456%0.04
ancientD72–529%-0.03
anubisA74–357%0.00
boulder—21–150%0.04
vertigo—21–150%-0.08
overpass—20–20%-0.02
shelter—11–0100%0.10
fachwerk—10–10%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,067Lifetime kills
0.99K/D
1,269Matches
53.0%Match win rate · Top 10% of Purple band
49.7%Headshot % · Top 50% of Purple band
0.0%Shot accuracy
3,833MVPs
406Hours (in match)
1,079Bombs planted
244Bombs defused

Most-used weapons

Lifetime map wins

3,615dust2
1,950inferno
930nuke
678vertigo
222train
13italy
2ar_shoots
2ar_baggage

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

Faceit stats

Combat

106Matches
71%Win rate
1.17Avg K/D
79.8ADR
44%Headshot %

Clutches & streaks

44%1v1 clutch win
25%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust23278%1.1716.1
Mirage2665%1.3514.3
Inferno1547%0.9315.6
Anubis1385%1.2119.3
Nuke978%1.1512.9
Ancient771%0.9516.9
Cache2100%1.5220.0
Vertigo10%0.6718.0

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.

17.5%Headshot accuracy
38.7%Accuracy (enemy spotted)
42.8%Spray accuracy
84.2%Counter-strafing
9.2°Preaim
622msReaction time
45.7%T opening success
37.2%CT opening success
0.45Enemies flashed / flash
7.2%Flash assists
7.34HE damage / grenade
9.84Flashes / 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. 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 0.4534 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.2186% — below the 40% mark we flag

Spend your practice time on Ancient

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–4-0.0345%12 Nov →
nuke3–9-0.0736%12 Nov →
inferno8–80.0310%12 Nov →
inferno9–10.1340%12 Nov →
ancient4–130.0419%12 Nov →
inferno4–13-0.0822%12 Nov →
dust213–70.0520%12 Nov →
cache1–13-0.0515%8 Nov →
anubis13–8-0.0412%8 Nov →
mirage13–16-0.0227%7 Nov →
dust215–15-0.0421%6 Nov →
dust213–110.0616%6 Nov →
ancient8–13-0.0322%1 Nov →
mirage15–150.0218%1 Nov →
dust25–13-0.065%31 Oct →
mirage13–80.1017%31 Oct →
ancient10–13-0.0320%31 Oct →
anubis10–13-0.008%15 Aug →
dust28–13-0.0213%11 Aug →
cache13–50.0915%11 Aug →
dust213–8-0.0221%10 Aug →
dust213–40.0316%10 Aug →
nuke11–13-0.0414%6 Aug →
cache13–70.035%6 Aug →
dust213–80.0619%6 Aug →
inferno3–9-0.1413%5 Aug →
nuke9–30.2622%5 Aug →
dust210–13-0.0320%5 Aug →
dust213–40.1117%5 Aug →
boulder7–130.0212%24 Jul →
boulder13–60.0716%24 Jul →
shelter13–40.1028%24 Jul →
fachwerk5–130.0322%24 Jul →
mirage10–13-0.0119%23 Jul →
nuke0–13-0.12100%23 Jul →
mirage11–13-0.1013%23 Jul →
mirage2–9-0.0929%23 Jul →
cache14–16-0.0414%22 Jul →
dust215–150.0418%22 Jul →
dust20–13-0.010%20 Jul →
dust211–13-0.0528%20 Jul →
anubis13–20.0515%20 Jul →
ancient13–1-0.0627%20 Jul →
dust214–160.0135%20 Jul →
mirage11–13-0.0315%17 Jul →
dust27–13-0.0326%17 Jul →
cache11–13-0.049%17 Jul →
dust213–90.009%17 Jul →
dust216–14-0.0219%12 Jul →
ancient12–16-0.0529%10 Jul →
nuke9–13-0.057%10 Jul →
mirage6–13-0.0411%10 Jul →
anubis1–13-0.080%10 Jul →
dust213–60.0323%10 Jul →
dust213–11-0.0516%10 Jul →
cache8–13-0.0116%9 Jul →
nuke13–70.0410%9 Jul →
ancient8–13-0.067%9 Jul →
dust213–100.0113%9 Jul →
cache13–10-0.017%9 Jul →
inferno16–13-0.0311%9 Jul →
vertigo5–9-0.1443%7 Jul →
nuke9–10.1119%7 Jul →
inferno9–60.0226%7 Jul →
overpass7–90.0029%7 Jul →
inferno9–70.1630%7 Jul →
cache13–8-0.0316%6 Jul →
dust29–13-0.0326%6 Jul →
inferno8–8-0.0356%6 Jul →
cache7–13-0.1037%6 Jul →
mirage13–110.028%6 Jul →
mirage16–140.0218%5 Jul →
vertigo13–10-0.0219%5 Jul →
nuke13–60.1423%5 Jul →
inferno12–120.0021%5 Jul →
inferno8–8-0.0335%3 Jul →
cache13–100.0413%3 Jul →
mirage8–130.0016%3 Jul →
mirage13–70.0120%2 Jul →
nuke13–30.069%2 Jul →
ancient16–12-0.0317%2 Jul →
mirage5–13-0.0614%2 Jul →
anubis13–7-0.0411%30 Jun →
dust213–50.0127%30 Jun →
dust27–13-0.0615%30 Jun →
mirage15–15-0.0223%30 Jun →
mirage13–9-0.0221%30 Jun →
overpass11–13-0.039%28 Jun →
anubis13–90.0323%28 Jun →
mirage13–90.037%28 Jun →
mirage6–130.0015%28 Jun →
mirage13–9-0.0314%28 Jun →
cache13–110.0413%25 Jun →
anubis10–130.1021%25 Jun →
mirage8–13-0.0212%25 Jun →
dust213–9-0.0115%25 Jun →
dust27–130.0416%24 Jun →
inferno13–16-0.0219%24 Jun →
dust26–00.0523%24 Jun →
mirage6–13-0.090%23 Jun →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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