Sarkus Möder

Sarkus Möder — CS2 Stats

DE76561198133246850[U:1:172981122]Steam profile ↗✓ No bans

673Tracked matches64%Win rate2021Tracked since
2,690Hours in CS4Hrs last 2 wks
CSDB Rating6.0 SolidPositional Player
Premier CS Rating10,717Blue band · top ~51.1% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (5 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: 10,717 -2,198 20 Aug – 26 Oct · 35 days played
7,63012,915peak 12,91520 Aug26 Oct
13,253Peak Premier in tracked matches
35Days played since 2026-08-20

Premier CS Rating

  • 2,198 below peak (12,915)
  • +2,037 over 30 days · improving
  • Next: Purple band at 15,000 — 4,283 to go
  • Reached: Blue band · Light Blue band

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate36.7%42.0%44.4%7.7% short
Shot accuracy15.3%9.6%11.9%above
Kill/death ratio0.990.981.030.05 short
Match win rate35.3%43.8%45.2%9.9% short

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

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

Share this profile

CSDB.GGSarkus MöderPREMIER10,717 · Blue 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

Aim63
Positioning56
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY46–51–3Last 10046%Win rateWLLWWLWWTL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −3.3pp headshot accuracy · +57ms reaction

Win rate down 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 12%
  • Avg reaction 664ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 638ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 610ms

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 (+1.8 against its own average).

Aim6.3
Utility4.2
Positioning5.6
Opening Duels2.3
Clutch3.2

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 88% 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

Strengths

T openings. 65% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 65% on T to 41% on CT — first contacts on the defending side are being lost.

Reaction time. 617ms 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

Aim6.3
Positioning5.6
Utility4.2
Mechanics7.7
Opening Duels5.8
Win Impact9.8

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time619ms−1ms
first ⅓ avg 620ms → last ⅓ avg 619ms
Headshot accuracy14.9%+2.3%
first ⅓ avg 12.7% → last ⅓ avg 14.9%

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

0.14Best match rating · 13–0 · anubis, 27 Aug →
38%Best headshot accuracy · 13–2 · dust2, 19 Sept →
445msFastest reaction time · 13–6 · ancient, 14 Sept →
13–0Biggest win · anubis, 6 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–6In matches decided by ≤2 rounds
12Overtime games

Map breakdown

cacheBest map · 71% over 7infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
nukeB2110–1148%0.00
mirageB199–1047%-0.00
ancientC197–1237%-0.01
dust2B136–746%-0.01
anubisA106–460%0.03
infernoD92–722%0.01
cacheS75–271%0.06
vertigo—21–150%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

77,166Lifetime kills
0.99K/D · Top 50% of Blue band
4,016Matches
35.3%Match win rate
36.7%Headshot %
15.3%Shot accuracy · Top 25% of Blue band
6,093MVPs
1,313Hours (in match)
3,150Bombs planted
1,083Bombs defused

Most-used weapons

AK-4719,371
AWP11,814
P902,938
Tec-92,154
FAMAS2,014

Lifetime map wins

7,225dust2
2,625inferno
2,307nuke
459cbble
380train
280vertigo
227italy
189office

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

Faceit stats

Combat

18Matches
33%Win rate
0.76Avg K/D
61.2ADR
35%Headshot %

Clutches & streaks

36%1v1 clutch win
25%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno425%0.548.0
Nuke333%0.647.0
Mirage333%0.8216.7
Anubis20%0.7716.5
Ancient10%0.254.0
Dust210%0.406.0

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.

15.4%Headshot accuracy
33.6%Accuracy (enemy spotted)
38.8%Spray accuracy
84.5%Counter-strafing
11.2°Preaim
617msReaction time
65.4%T opening success
40.8%CT opening success
0.32Enemies flashed / flash
7.3%Flash assists
10.57HE damage / grenade
8.99Flashes / 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 0.3155 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–50.0110%26 Oct →
nuke11–13-0.0418%26 Oct →
anubis6–130.0013%18 Oct →
nuke16–140.0313%8 Oct →
anubis13–00.106%6 Oct →
nuke10–13-0.0810%5 Oct →
mirage16–12-0.0412%5 Oct →
nuke11–10.1419%5 Oct →
vertigo12–12-0.0310%4 Oct →
mirage8–13-0.0519%4 Oct →
nuke13–30.0317%3 Oct →
anubis11–13-0.0314%3 Oct →
mirage13–2-0.0113%2 Oct →
dust212–16-0.0010%2 Oct →
anubis13–40.1023%30 Sept →
ancient16–12-0.0212%30 Sept →
dust213–110.0429%30 Sept →
inferno13–60.0117%30 Sept →
mirage11–130.0113%29 Sept →
mirage13–8-0.0416%29 Sept →
nuke16–130.0717%29 Sept →
dust213–80.079%28 Sept →
ancient7–130.0211%28 Sept →
mirage7–130.0112%27 Sept →
nuke13–100.0213%27 Sept →
nuke13–40.0218%26 Sept →
cache13–90.1120%26 Sept →
ancient16–140.0523%26 Sept →
inferno15–150.0823%26 Sept →
mirage9–130.0519%25 Sept →
mirage7–13-0.0510%24 Sept →
inferno11–130.0611%23 Sept →
inferno13–160.0113%22 Sept →
mirage1–13-0.0111%20 Sept →
inferno7–13-0.0326%19 Sept →
nuke8–130.048%19 Sept →
cache13–11-0.0219%19 Sept →
nuke13–110.0318%19 Sept →
ancient13–8-0.0619%19 Sept →
dust213–20.0638%19 Sept →
ancient9–13-0.059%18 Sept →
cache13–70.1113%18 Sept →
inferno11–13-0.0311%18 Sept →
mirage13–160.029%18 Sept →
ancient7–13-0.0111%18 Sept →
ancient9–130.039%15 Sept →
mirage13–8-0.038%14 Sept →
dust210–13-0.066%14 Sept →
nuke6–13-0.0317%14 Sept →
nuke13–40.0111%14 Sept →
anubis8–130.0216%14 Sept →
ancient13–60.0620%14 Sept →
nuke13–60.0023%13 Sept →
mirage13–30.0613%13 Sept →
nuke9–13-0.0020%13 Sept →
nuke7–13-0.019%13 Sept →
ancient13–90.0316%9 Sept →
anubis13–7-0.0017%9 Sept →
dust27–13-0.057%7 Sept →
ancient1–6-0.0633%29 Aug →
nuke13–10-0.0213%29 Aug →
anubis1–13-0.087%29 Aug →
cache13–40.1211%28 Aug →
anubis13–80.0518%28 Aug →
nuke10–13-0.009%28 Aug →
dust26–13-0.1014%28 Aug →
mirage13–100.0316%28 Aug →
vertigo9–70.0512%27 Aug →
mirage13–100.0213%27 Aug →
dust213–10-0.0211%27 Aug →
anubis13–00.1411%27 Aug →
ancient8–130.058%26 Aug →
dust213–7-0.0015%26 Aug →
ancient5–13-0.0110%26 Aug →
nuke9–13-0.0811%26 Aug →
mirage7–13-0.025%26 Aug →
dust213–10.1121%26 Aug →
cache9–130.0210%25 Aug →
cache10–130.0411%25 Aug →
ancient6–13-0.019%25 Aug →
ancient1–13-0.0214%25 Aug →
mirage13–4-0.0023%25 Aug →
nuke5–130.0016%25 Aug →
ancient13–7-0.0920%25 Aug →
nuke9–13-0.0417%24 Aug →
nuke13–16-0.0216%24 Aug →
dust210–13-0.0411%24 Aug →
ancient10–13-0.0318%23 Aug →
mirage13–9-0.0610%23 Aug →
dust29–13-0.0510%23 Aug →
inferno11–13-0.0121%23 Aug →
ancient16–12-0.045%23 Aug →
ancient9–130.043%22 Aug →
ancient8–13-0.0715%22 Aug →
inferno4–13-0.0513%21 Aug →
cache13–40.066%21 Aug →
mirage15–150.069%21 Aug →
dust210–13-0.0714%21 Aug →
mirage10–13-0.0322%20 Aug →
inferno13–50.0412%20 Aug →

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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