Jæköb$n.

Jæköb$n. — CS2 Stats

76561198179889303[U:1:219623575]Steam profile ↗✓ No bans

2,736Tracked matches54%Win rate2020Tracked since
CSDB Rating5.3 DevelopingSupport
Premier CS Rating19,986Top 50% of 211,308 CSDB-tracked playersPurple band · top ~8.6% of ranked players (population est.)
CSDB Leaderboard#85931 of 258240 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (56 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 19,986 → 19,986
+2Tracked matches · now 2,736
0.0ppWin rate · 53.6% → 53.6%

Rating over time

Premier CS Rating: 19,986 +1,009 17 Jul – 2 Sept · 11 days played
18,60020,858peak 20,85817 Jul2 Sept
21,042Peak Premier in tracked matches
22Days played since 2026-06-11

Premier CS Rating

  • 872 below peak (20,858)
  • +986 over 30 days · improving
  • Next: Pink band at 20,000 — 14 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-02
  • Blue band first seen 2026-09-02

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

Share this profile

CSDB.GGJæköb$n.FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER19,986 · Purple bandcsdb.gg/stats

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Performance scores

Aim69
Positioning44
Utility44

0–100 skill scores via Leetify.

Recent form

COLD51–45–4Last 10051%Win rateLWLLWLWLLL

Last 10 vs previous 10: −30pp win rate · −0.00 avg rating · +4.7pp headshot accuracy · +17ms reaction

Win rate down 30pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 25%
  • Avg reaction 609ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 26%
  • Avg reaction 602ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 593ms

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 (+0.9 against its own average).

Aim6.9
Utility4.4
Positioning4.4
Opening Duels1.7

Limited utility dependence

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 97% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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 38% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 606ms 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

Aim6.9
Positioning4.4
Utility4.4
Mechanics6.6
Opening Duels1.0
Win Impact6.2

Composite 5.3/10 (Developing), 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 rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time607ms+76ms
first ⅓ avg 532ms → last ⅓ avg 607ms
Headshot accuracy24.3%+6.1%
first ⅓ avg 18.3% → last ⅓ avg 24.3%

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

0.12Best match rating · 13–3 · mirage, 14 Aug →
100%Best headshot accuracy · 13–0 · inferno, 18 Jul →
438msFastest reaction time · 10–13 · mirage, 15 Aug →
13–0Biggest win · inferno, 18 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

trainBest map · 83% over 6nukeWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
cacheC198–1142%-0.02
anubisA169–756%-0.01
mirageA1610–663%-0.01
infernoC156–940%-0.01
nukeC135–838%-0.01
dust2C94–544%-0.01
trainS65–183%-0.01
ancient—32–167%0.02
vertigo—11–0100%-0.02
shelter—10–10%-0.01
fachwerk—11–0100%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

23.6%Headshot accuracy
33.9%Accuracy (enemy spotted)
36.4%Spray accuracy
79.9%Counter-strafing
11.1°Preaim
606msReaction time
22.4%T opening success
37.6%CT opening success
0.44Enemies flashed / flash
8.0%Flash assists
6.88HE damage / grenade
4.77Flashes / 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 0.4436 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 22.3699% — below the 40% mark we flag

Spend your practice time on Nuke

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis9–13-0.0823%4 Sept →
nuke13–110.0625%2 Sept →
anubis2–13-0.0823%16 Aug →
dust20–13-0.1140%16 Aug →
mirage13–70.0115%16 Aug →
dust23–13-0.0119%16 Aug →
inferno13–90.0126%16 Aug →
nuke2–13-0.0354%16 Aug →
inferno10–130.0832%16 Aug →
cache11–13-0.066%15 Aug →
mirage13–11-0.0421%15 Aug →
mirage10–13-0.0025%15 Aug →
cache15–15-0.0547%15 Aug →
anubis13–10-0.0119%15 Aug →
cache12–7-0.017%15 Aug →
nuke6–13-0.1010%15 Aug →
inferno13–40.0631%15 Aug →
mirage13–10-0.0220%15 Aug →
dust213–10-0.0212%15 Aug →
anubis14–160.0325%15 Aug →
ancient13–110.0116%15 Aug →
dust25–13-0.0712%14 Aug →
mirage13–30.1225%14 Aug →
cache9–13-0.0438%14 Aug →
nuke13–7-0.0337%14 Aug →
inferno13–4-0.0211%14 Aug →
dust210–130.0125%14 Aug →
ancient15–150.0318%14 Aug →
dust213–10.0319%14 Aug →
dust213–80.0330%14 Aug →
mirage1–13-0.0644%14 Aug →
nuke13–100.0424%14 Aug →
dust213–6-0.0126%13 Aug →
nuke14–16-0.0021%11 Aug →
mirage13–60.0317%11 Aug →
inferno6–13-0.0626%11 Aug →
mirage9–13-0.0634%2 Aug →
ancient13–40.0120%2 Aug →
nuke1–60.018%2 Aug →
vertigo13–11-0.0222%1 Aug →
anubis11–130.0519%31 Jul →
train13–3-0.0814%31 Jul →
cache16–140.0119%31 Jul →
anubis13–9-0.0119%31 Jul →
cache7–130.0029%31 Jul →
inferno5–13-0.0114%31 Jul →
mirage5–13-0.0616%31 Jul →
anubis13–90.0213%29 Jul →
train13–10-0.0422%29 Jul →
train13–50.0116%29 Jul →
cache13–80.0215%28 Jul →
mirage16–12-0.0421%28 Jul →
inferno10–13-0.0413%28 Jul →
cache3–13-0.1021%28 Jul →
anubis13–8-0.0218%27 Jul →
anubis16–130.0211%27 Jul →
cache11–13-0.0315%25 Jul →
inferno8–13-0.1021%19 Jul →
mirage13–3-0.0031%19 Jul →
cache13–7-0.0312%19 Jul →
dust28–130.0324%19 Jul →
cache4–13-0.0122%19 Jul →
train12–12-0.0122%19 Jul →
train13–10.0419%19 Jul →
cache0–13-0.020%18 Jul →
nuke0–3-0.110%18 Jul →
inferno13–00.02100%18 Jul →
mirage13–50.0313%18 Jul →
nuke13–10-0.0217%18 Jul →
inferno2–13-0.0631%18 Jul →
mirage13–90.0417%18 Jul →
anubis13–8-0.0123%17 Jul →
anubis2–4-0.0520%17 Jul →
inferno7–130.0721%17 Jul →
cache6–13-0.0223%17 Jul →
nuke13–20.0726%17 Jul →
cache7–13-0.0217%17 Jul →
anubis13–60.0225%17 Jul →
cache13–100.0214%17 Jul →
mirage13–2-0.0922%17 Jul →
anubis3–13-0.0623%17 Jul →
inferno13–7-0.0015%17 Jul →
anubis13–80.0113%15 Jul →
cache13–50.0317%15 Jul →
nuke9–13-0.0419%15 Jul →
anubis13–90.0416%15 Jul →
cache16–12-0.0219%15 Jul →
mirage10–130.0124%15 Jul →
cache10–13-0.066%15 Jul →
cache13–50.0026%14 Jul →
anubis4–13-0.110%13 Jul →
nuke0–3-0.030%13 Jul →
inferno3–13-0.100%13 Jul →
mirage9–13-0.0517%13 Jul →
inferno13–50.0322%13 Jul →
shelter4–13-0.0121%11 Jul →
fachwerk13–2-0.0225%11 Jul →
train13–40.0315%11 Jul →
inferno5–9-0.0537%11 Jun →
nuke12–120.0120%11 Jun →

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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