39yo. yang Talent BigJakke

39yo. yang Talent BigJakke — CS2 Stats

76561198071509834[U:1:111244106]Steam profile ↗✓ No bans

3,032Tracked matches57%Win rate2020Tracked since
CSDB Rating4.1 Developing
Premier CS Rating19,114Purple band · top ~12% of ranked players (population est.)
CSDB Leaderboard#24605 of 57101 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG39yo. yang Talent BigJakkeFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER19,114 · Purple bandcsdb.gg/stats

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Performance scores

Aim31
Positioning56
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY46504Last 10046%Win rateLLWWWWLLWL

Last 10 vs previous 10: -30pp win rate · -0.00 avg rating

Player DNA

Aim3.1
Aggression4.6
Utility4.0
Positioning5.6
Opening Duels2.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 78% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Areas to improve

Reaction time. 661ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.1
Positioning5.6
Utility4.0
Mechanics3.2
Opening Duels2.0
Win Impact7.2

Composite 4.1/10 (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-0.02+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time672ms−86ms
first ⅓ avg 758ms → last ⅓ avg 672ms
Headshot accuracy14.8%−0.7%
first ⅓ avg 15.5% → last ⅓ avg 14.8%

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.

Highlights

0.08Best rating — nuke 6–13
131Biggest win — cache
6Longest win streak
L2Current streak
97In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 61% over 28nukeWeakest map · 35% over 20
MapGradePlayedRecordWin rateAvg rating
cacheA28171161%-0.04
nukeC2071335%-0.00
mirageA106460%-0.04
vertigoC83538%-0.04
dust2C73443%-0.03
infernoC73443%-0.03
trainC52340%-0.04
ancient42250%-0.04
overpass4040%-0.04
anubis32167%-0.04
boulder1010%-0.02
shelter1010%-0.07
fachwerk110100%-0.01
office1010%0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

65Matches
51%Win rate
1.18Avg K/D
ADR
37%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLL

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.

14.6%Headshot accuracy
29.7%Accuracy (enemy spotted)
32.9%Spray accuracy
64.5%Counter-strafing
11.2°Preaim
661msReaction time
31.6%T opening success
44.1%CT opening success
0.52Enemies flashed / flash
4.1%Flash assists
5.81HE damage / grenade
8.85Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.6226% — below the 15% mark we flag

    Aim Training
  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 31.6033% — 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.

35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo0–13-0.096%28 Aug
nuke8–13-0.018%28 Aug
cache13–11-0.0211%28 Aug
ancient16–14-0.0411%28 Aug
dust213–100.0822%22 Aug
cache16–140.0016%22 Aug
nuke12–160.0716%22 Aug
dust26–13-0.1012%22 Aug
vertigo13–6-0.058%22 Aug
mirage7–13-0.057%13 Aug
dust22–13-0.0611%13 Aug
inferno13–70.0515%13 Aug
ancient16–14-0.049%13 Aug
mirage13–6-0.017%6 Aug
nuke13–30.0018%6 Aug
cache13–1-0.0015%6 Aug
inferno13–1-0.0119%6 Aug
nuke9–13-0.0718%4 Aug
nuke13–10-0.0024%4 Aug
vertigo13–4-0.0016%4 Aug
cache13–7-0.037%4 Aug
cache13–6-0.0310%4 Aug
cache13–5-0.0118%4 Aug
cache1–13-0.0429%31 Jul
train8–130.0118%26 Jul
overpass11–13-0.0114%26 Jul
nuke13–90.0414%26 Jul
mirage14–16-0.0027%26 Jul
boulder7–13-0.0214%26 Jul
cache9–13-0.1017%26 Jul
ancient2–13-0.0521%22 Jul
dust211–13-0.0022%22 Jul
vertigo7–13-0.0410%21 Jul
nuke7–13-0.009%21 Jul
overpass5–10-0.0411%21 Jul
cache0–13-0.097%21 Jul
mirage15–15-0.0714%21 Jul
inferno6–13-0.0912%21 Jul
nuke13–30.0812%21 Jul
mirage13–9-0.056%21 Jul
mirage6–4-0.099%21 Jul
vertigo13–70.049%21 Jul
cache0–7-0.1025%20 Jul
overpass5–13-0.058%19 Jul
train13–80.0313%19 Jul
nuke6–13-0.0016%19 Jul
cache1–10-0.0911%19 Jul
nuke11–13-0.0415%18 Jul
nuke9–13-0.0619%18 Jul
cache5–13-0.080%18 Jul
cache13–2-0.0813%18 Jul
cache13–4-0.067%17 Jul
inferno13–11-0.0415%17 Jul
mirage13–4-0.047%17 Jul
anubis13–11-0.067%17 Jul
shelter12–12-0.0716%16 Jul
nuke11–13-0.0810%16 Jul
cache13–5-0.0312%16 Jul
inferno11–13-0.0427%16 Jul
cache13–3-0.0020%16 Jul
mirage13–9-0.0218%16 Jul
anubis10–13-0.0215%16 Jul
ancient7–13-0.0413%16 Jul
cache13–6-0.0420%16 Jul
nuke6–130.0813%16 Jul
cache13–6-0.0019%16 Jul
mirage2–130.0222%16 Jul
nuke5–13-0.0522%11 Jul
nuke13–11-0.0312%11 Jul
cache13–8-0.099%11 Jul
anubis13–11-0.0617%11 Jul
nuke10–130.0312%10 Jul
dust25–13-0.0714%10 Jul
fachwerk13–3-0.0124%10 Jul
inferno2–13-0.0419%10 Jul
dust213–4-0.077%10 Jul
vertigo6–9-0.0317%27 Jun
cache12–12-0.0020%27 Jun
cache13–6-0.0113%27 Jun
nuke11–130.0210%25 Jun
vertigo4–13-0.0527%24 Jun
cache12–12-0.0428%24 Jun
office5–130.0031%24 Jun
nuke4–130.049%24 Jun
cache13–40.047%24 Jun
cache13–10-0.0221%23 Jun
train7–13-0.0514%20 Jun
cache13–6-0.0217%20 Jun
cache6–13-0.0723%20 Jun
train13–3-0.117%20 Jun
cache6–13-0.1122%20 Jun
nuke13–50.0112%20 Jun
cache4–13-0.048%19 Jun
train3–13-0.1014%19 Jun
dust213–50.0422%19 Jun
nuke13–9-0.028%19 Jun
mirage13–7-0.0512%19 Jun
overpass3–13-0.089%19 Jun
inferno7–13-0.0220%19 Jun
vertigo2–13-0.106%19 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 →