Jakender

Jakender — CS2 Stats

FI76561199099187089[U:1:1138921361]Steam profile ↗✓ No bans

1,839Tracked matches68%Win rate2021Tracked since
2,978Hours in CS20Hrs last 2 wks
CSDB Rating7.9 StrongPositional Player
Premier CS Rating18,515Purple band · top ~14.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Oct 2026 (yesterday). 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: 18,515 -2,473 5 Apr – 17 Oct · 27 days played
15,06123,315peak 23,3155 Apr17 Oct
23,439Peak Premier in tracked matches
2,036Highest Faceit ELO seen on CSDB
45Days played since 2026-04-05

Faceit ELO

  • At peak — 2,036
  • Next: 2,500 ELO at 2,500 — 464 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

Premier CS Rating

  • 4,800 below peak (23,315)
  • Next: Pink band at 20,000 — 1,485 to go
  • Reached: Pink band · Purple band · 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 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 rate52.7%44.3%46.9%above
Shot accuracy12.3%11.9%13.0%0.7% short
Kill/death ratio1.021.031.080.06 short
Match win rate44.8%45.2%46.7%1.9% short

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

Widest gap: Kill/death ratio. 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.GGJakenderPREMIER18,515 · Purple bandPEAK ELO2,036csdb.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

Aim89
Positioning78
Utility54

0–100 skill scores via Leetify.

Recent form

HOT48–47–5Last 10048%Win rateTWWWWWLWWW

Last 10 vs previous 10: +30pp win rate · −0.00 avg rating · −3.8pp headshot accuracy · +5ms reaction

Win rate up 30pp 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–0–1 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 26%
  • Avg reaction 531ms

Last 10

  • 8–1–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 23%
  • Avg reaction 550ms

Last 20

  • 13–5–2 · 65% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 25%
  • Avg reaction 548ms

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 (+1.7 against its own average).

Aim8.9
Utility5.4
Positioning7.8
Opening Duels7.4
Clutch3.8

Sharp aimer

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

s1mple

Plays most like s1mple 96% playstyle similarity

Most alike: opening-duel success, positioning 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

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 63% T opening-duel success — entries that actually open the round.

Areas to improve

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

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

Aim8.9
Positioning7.8
Utility5.4
Mechanics6.6
Opening Duels8.8
Win Impact10.0

Composite 7.9/10 (Strong), 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 rating0.04+0.05
first ⅓ avg -0.01 → last ⅓ avg 0.04
Reaction time541ms−110ms
first ⅓ avg 652ms → last ⅓ avg 541ms
Headshot accuracy23.9%+2.5%
first ⅓ avg 21.4% → last ⅓ avg 23.9%

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

0.13Best match rating · 13–8 · mirage, 2 Oct →
48%Best headshot accuracy · 13–8 · nuke, 3 May →
406msFastest reaction time · 7–3 · anubis, 14 May →
13–1Biggest win · anubis, 5 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–7In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 67% over 15dust2Weakest map · 28% over 18
MapGradePlayedRecordWin rateAvg rating
mirageA2716–1159%0.01
dust2D185–1328%-0.01
anubisS1510–567%0.02
nukeA127–558%-0.00
ancientC114–736%0.00
cacheD72–529%-0.01
infernoC73–443%0.02
overpass—31–233%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

101,549Lifetime kills
1.02K/D
4,202Matches
44.8%Match win rate
52.7%Headshot % · Top 25% of Purple band
12.3%Shot accuracy · Top 50% of Purple band
17,758MVPs
1,886Hours (in match)
6,737Bombs planted
3,029Bombs defused

Most-used weapons

AK-4733,243
AWP14,055
FAMAS1,409
SSG 081,377
MP91,227

Lifetime map wins

7,786dust2
7,146inferno
6,648nuke
5,653train
2,678vertigo
221cbble
145office
99lake

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

Faceit stats

Combat

779Matches
50%Win rate
1.05Avg K/D
81.2ADR
50%Headshot %

Clutches & streaks

39%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage10858%1.1315.7
Dust26648%0.9815.6
Nuke4347%1.0917.0
Anubis3855%1.0715.8
Ancient2737%1.0716.2
Overpass2152%1.0817.3
Inferno2055%1.2117.9
Train667%1.2018.0

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.

23.5%Headshot accuracy
39.2%Accuracy (enemy spotted)
34.8%Spray accuracy
79.9%Counter-strafing
6.8°Preaim
538msReaction time
63.5%T opening success
66.7%CT opening success
0.50Enemies flashed / flash
6.1%Flash assists
11.76HE damage / grenade
8.62Flashes / match

Recommended for you

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.

28% win rate across 18 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
dust215–150.0426%17 Oct →
dust213–80.0427%17 Oct →
cache13–100.0725%17 Oct →
dust213–50.0925%17 Oct →
mirage13–30.0325%17 Oct →
anubis13–80.0314%15 Oct →
nuke12–160.0116%14 Oct →
ancient13–110.0221%13 Oct →
ancient13–60.0439%13 Oct →
anubis13–90.0211%13 Oct →
dust213–40.0625%12 Oct →
inferno5–130.0129%12 Oct →
anubis13–50.0145%12 Oct →
ancient2–13-0.0218%11 Oct →
mirage15–150.0119%10 Oct →
ancient13–30.1124%10 Oct →
mirage13–30.1035%10 Oct →
nuke8–130.0229%10 Oct →
inferno13–70.0823%10 Oct →
mirage11–13-0.0121%10 Oct →
mirage13–90.0222%10 Oct →
mirage16–120.0616%10 Oct →
inferno13–9-0.015%9 Oct →
inferno10–130.0415%9 Oct →
inferno13–100.1033%5 Oct →
ancient16–130.0516%5 Oct →
dust28–130.0124%2 Oct →
mirage13–80.1332%2 Oct →
dust26–13-0.0637%27 Sept →
cache9–130.0125%23 Sept →
mirage16–140.0922%23 Sept →
mirage13–60.0424%21 Sept →
nuke13–9-0.0317%18 Sept →
mirage10–13-0.0335%16 Sept →
anubis11–130.0517%15 Sept →
anubis14–160.0211%5 Sept →
dust28–130.0344%5 Sept →
ancient10–13-0.008%26 Jul →
anubis7–13-0.0536%26 Jul →
mirage8–13-0.1021%25 Jul →
mirage13–50.0126%24 Jul →
nuke9–13-0.0623%24 Jul →
cache9–13-0.0319%13 Jul →
ancient7–13-0.0416%9 Jun →
ancient6–130.0117%14 May →
anubis7–3-0.0211%14 May →
dust24–13-0.0212%14 May →
overpass13–80.0423%12 May →
nuke15–15-0.0032%12 May →
anubis13–110.0520%12 May →
mirage13–40.0320%12 May →
mirage13–10-0.0319%12 May →
inferno7–90.049%11 May →
anubis14–16-0.0216%6 May →
nuke13–7-0.0122%5 May →
anubis13–10.1131%5 May →
mirage13–70.0624%5 May →
mirage13–110.0218%4 May →
nuke13–8-0.0048%3 May →
anubis13–11-0.0224%2 May →
dust27–13-0.0221%2 May →
cache5–13-0.0725%1 May →
cache11–13-0.0727%1 May →
overpass4–13-0.0120%1 May →
ancient8–13-0.0413%1 May →
mirage13–4-0.0133%1 May →
cache13–40.0836%1 May →
cache10–13-0.0420%29 Apr →
mirage6–13-0.0321%27 Apr →
nuke10–13-0.0321%27 Apr →
mirage9–13-0.0119%25 Apr →
nuke13–10.0514%25 Apr →
mirage13–8-0.0219%25 Apr →
ancient9–130.0215%24 Apr →
overpass6–130.0318%24 Apr →
dust213–110.0227%24 Apr →
anubis16–130.0921%24 Apr →
nuke16–130.0831%21 Apr →
ancient9–13-0.0911%21 Apr →
dust25–13-0.0528%21 Apr →
dust213–6-0.0229%21 Apr →
mirage10–130.0123%18 Apr →
nuke13–10-0.0322%18 Apr →
mirage7–13-0.058%17 Apr →
dust24–13-0.0618%16 Apr →
anubis13–11-0.0217%16 Apr →
nuke9–20.0024%16 Apr →
anubis15–150.0617%13 Apr →
mirage6–130.0119%12 Apr →
inferno2–13-0.0932%9 Apr →
anubis13–40.0417%9 Apr →
dust25–13-0.0219%7 Apr →
mirage7–13-0.0424%6 Apr →
dust24–13-0.0721%6 Apr →
mirage14–160.0021%6 Apr →
mirage13–60.0514%6 Apr →
dust215–150.0137%6 Apr →
mirage13–70.0135%5 Apr →
dust29–13-0.0526%5 Apr →
dust27–13-0.0417%5 Apr →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 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.