Jacke Long -iwnl-

Jacke Long -iwnl- — CS2 Stats

76561198832760489[U:1:872494761]Steam profile ↗✓ No bans

176Tracked matches59%Win rate2020Tracked since
CSDB Rating6.6 SolidClutch Specialist
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 176 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 25,492 +7,728 16 Dec – 3 Mar · 26 days played
17,76425,492peak 25,49216 Dec3 Mar
25,492Peak Premier in tracked matches
38Days played since 2024-12-16

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

Performance scores

Aim78
Positioning67
Utility20

0–100 skill scores via Leetify.

Recent form

STEADY64–35–1Last 10064%Win rateLLWWWWLWWL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −4.5pp headshot accuracy · +76ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 29%
  • Avg reaction 627ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 28%
  • Avg reaction 696ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 30%
  • Avg reaction 658ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.5 against its own average).

Aim7.8
Utility2.0
Positioning6.7
Opening Duels7.5
Clutch10.0

Limited utility dependenceReliable in 1v1s

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

donk

Plays most like donk 75% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning profile; 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

Strengths

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

T-side openings. Opening success drops from 62% on CT to 46% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 649ms 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

Aim7.8
Positioning6.7
Utility2.0
Mechanics8.4
Opening Duels6.0
Win Impact7.9

Composite 6.6/10 (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 rating0.02−0.04
first ⅓ avg 0.06 → last ⅓ avg 0.02
Reaction time647ms+42ms
first ⅓ avg 606ms → last ⅓ avg 647ms
Headshot accuracy29.6%−2.6%
first ⅓ avg 32.2% → last ⅓ avg 29.6%

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

0.19Best match rating · 13–2 · vertigo, 19 Dec →
52%Best headshot accuracy · 13–7 · dust2, 21 Dec →
391msFastest reaction time · 13–9 · mirage, 18 Dec →
13–1Biggest win · ancient, 10 Jan →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
8–5In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 80% over 15dust2Weakest map · 55% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA3721–1657%0.04
ancientA159–660%0.07
nukeS1512–380%0.07
dust2A116–555%0.05
infernoS107–370%0.02
anubis—43–175%0.05
vertigo—43–175%0.09
overpass—32–167%0.06
train—11–0100%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (55% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

23Matches
52%Win rate
1.28Avg K/D
77.8ADR
34%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLLW

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.

29.6%Headshot accuracy
32.5%Accuracy (enemy spotted)
28.5%Spray accuracy
87.6%Counter-strafing
8.7°Preaim
649msReaction time
45.8%T opening success
62.4%CT opening success
0.53Enemies flashed / flash
2.3%Flash assists
4.27HE damage / grenade
2.83Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.825 — below the 4 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
mirage7–13-0.0232%12 Jun →
dust24–130.0633%12 Jun →
mirage13–40.0023%3 Mar →
ancient13–90.0940%3 Mar →
mirage13–110.0418%3 Mar →
mirage13–7-0.0123%27 Feb →
ancient5–130.0524%27 Feb →
nuke13–5-0.0429%27 Feb →
anubis13–80.0628%27 Feb →
inferno9–130.0233%24 Feb →
dust211–13-0.0022%24 Feb →
train13–90.0333%22 Feb →
dust213–10-0.0231%19 Feb →
mirage13–80.0723%16 Feb →
inferno13–40.0037%16 Feb →
inferno15–150.0728%15 Feb →
inferno13–70.0138%15 Feb →
mirage13–70.0437%15 Feb →
dust24–13-0.0131%9 Feb →
nuke9–13-0.0146%7 Feb →
anubis13–110.0228%6 Feb →
mirage7–13-0.0427%6 Feb →
mirage3–13-0.0039%6 Feb →
dust213–60.0534%6 Feb →
inferno4–13-0.0917%6 Feb →
mirage11–130.0124%6 Feb →
ancient8–130.0329%6 Feb →
inferno13–80.0320%5 Feb →
nuke13–60.1235%5 Feb →
mirage13–90.0830%5 Feb →
ancient13–90.0919%5 Feb →
mirage11–130.0235%5 Feb →
ancient9–130.0530%31 Jan →
mirage13–100.0931%31 Jan →
mirage9–130.0327%31 Jan →
inferno13–60.0430%26 Jan →
anubis9–130.0922%26 Jan →
nuke8–130.0635%26 Jan →
mirage13–100.0126%26 Jan →
ancient13–110.0629%26 Jan →
nuke13–80.0941%26 Jan →
nuke8–130.0129%19 Jan →
mirage13–100.1138%19 Jan →
mirage9–130.0522%10 Jan →
nuke13–90.1024%10 Jan →
mirage13–90.0747%10 Jan →
nuke16–120.0327%10 Jan →
inferno13–70.0826%10 Jan →
ancient13–10.1650%10 Jan →
dust213–90.0418%2 Jan →
mirage10–130.0223%2 Jan →
mirage5–130.0225%31 Dec →
nuke13–40.1134%30 Dec →
ancient6–130.0538%30 Dec →
ancient16–120.1123%30 Dec →
mirage13–40.0828%30 Dec →
ancient13–70.0816%30 Dec →
ancient10–130.0013%28 Dec →
nuke13–30.1217%28 Dec →
mirage13–40.0421%28 Dec →
inferno13–90.0229%28 Dec →
nuke13–20.0318%28 Dec →
overpass13–40.1224%28 Dec →
mirage13–20.1218%28 Dec →
ancient13–70.1010%23 Dec →
overpass9–130.0027%23 Dec →
mirage11–130.0629%22 Dec →
ancient13–20.1314%22 Dec →
mirage13–80.0726%22 Dec →
nuke13–20.1533%22 Dec →
ancient13–3-0.0024%22 Dec →
mirage13–110.0628%22 Dec →
mirage13–70.0340%21 Dec →
ancient7–130.0537%14 Dec →
nuke16–140.0536%8 Dec →
overpass13–60.0828%14 Jul →
nuke13–70.1844%14 Jul →
mirage2–130.0439%14 Jul →
nuke13–70.0233%18 Feb →
dust27–130.0932%13 Jan →
mirage11–130.0547%12 Jan →
mirage13–80.0518%28 Dec →
mirage13–30.0650%26 Dec →
mirage5–13-0.0722%23 Dec →
mirage2–13-0.0532%23 Dec →
mirage7–130.0433%23 Dec →
vertigo13–100.0524%22 Dec →
dust25–130.1050%22 Dec →
dust213–70.0752%21 Dec →
mirage9–130.0520%21 Dec →
vertigo13–20.1917%19 Dec →
vertigo13–50.0430%19 Dec →
inferno13–100.0429%19 Dec →
anubis13–110.0232%18 Dec →
mirage13–90.1229%18 Dec →
dust213–110.0733%17 Dec →
mirage13–100.0237%17 Dec →
dust216–140.1034%16 Dec →
vertigo8–130.1033%16 Dec →
mirage16–130.0525%16 Dec →

Match data via Leetify.

Recent teammates

Milestones

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

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