JAKEexe

JAKEexe — CS2 Stats

GB76561198157548851[U:1:197283123]Steam profile ↗✓ No bans

1,288Tracked matches70%Win rate2020Tracked since
CSDB Rating7.2 StrongAll-Rounder
Premier CS Rating26,293Top 10% of 200,982 CSDB-tracked playersRed band · top ~2.4% of ranked players (population est.)
CSDB Leaderboard#10583 of 247934 tracked
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (31 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: 26,293 -3,232 22 May – 1 Sept · 26 days played
24,39929,999peak 29,99922 May1 Sept
Faceit ELO: 2,793 +0 28 Aug – 31 Aug · 4 observations
2,7932,793peak 2,79328 Aug31 Aug
29,999Peak Premier in tracked matches
2,793Highest Faceit ELO seen on CSDB
35Days played since 2026-05-22

Faceit ELO

  • At peak — 2,793
  • Next: 3,000 ELO at 3,000 — 207 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-08-28
  • Level 10 first seen 2026-08-28

Premier CS Rating

  • 3,706 below peak (29,999)
  • -2,200 over 90 days
  • Next: Gold band at 30,000 — 3,707 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-28
  • Pink band first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGJAKEexePREMIER26,293 · Red bandPEAK ELO2,793csdb.gg/stats

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Performance scores

Aim83
Positioning57
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateLLWWWTWLWT

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −1.2pp headshot accuracy · +1ms reaction

Win rate −10pp 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 17%
  • Avg reaction 483ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 497ms

Last 20

  • 11–6–3 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 496ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.3
Utility5.9
Positioning5.7
Opening Duels5.0
Clutch6.0

Strong CT-side opener

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

device

Plays most like device 98% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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

T-side openings. Opening success drops from 60% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.3
Positioning5.7
Utility5.9
Mechanics6.1
Opening Duels4.3
Win Impact10.0

Composite 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.02
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time511ms−41ms
first ⅓ avg 552ms → last ⅓ avg 511ms
Headshot accuracy19.5%−2.3%
first ⅓ avg 21.7% → last ⅓ avg 19.5%

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

0.15Best match rating · 13–9 · ancient, 11 Aug →
75%Best headshot accuracy · 1–5 · ancient, 2 Jun →
297msFastest reaction time · 1–5 · ancient, 2 Jun →
13–1Biggest win · cache, 4 Aug →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

cacheBest map · 71% over 14dust2Weakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
infernoD155–1033%0.00
nukeS1510–567%0.04
cacheS1410–471%0.04
dust2D133–1023%0.00
anubisA138–562%0.03
ancientB115–645%0.02
mirageD103–730%0.02
overpass—42–250%0.02
train—21–150%0.04
vertigo—21–150%0.07
office—11–0100%0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,504Matches
68%Win rate
1.48Avg K/D
88.6ADR
44%Headshot %

Clutches & streaks

50%1v1 clutch win
14%1v2 clutch win
31Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1145%1.3117.2
Dust230%1.0022.7
Vertigo2100%1.0220.0
Overpass250%1.1421.0
Nuke1100%1.129.0
Cache1100%1.5819.0
Iris10%1.5323.0
Biome10%1.5437.0

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.

19.1%Headshot accuracy
38.4%Accuracy (enemy spotted)
41.6%Spray accuracy
77.2%Counter-strafing
9.7°Preaim
507msReaction time
34.7%T opening success
59.8%CT opening success
0.54Enemies flashed / flash
9.7%Flash assists
9.10HE damage / grenade
10.24Flashes / 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. 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 34.7214% — below the 40% mark we flag

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.

23% win rate across 13 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
ancient2–13-0.0212%1 Sept →
dust21–13-0.0418%22 Aug →
ancient13–7-0.0312%22 Aug →
dust213–90.1221%22 Aug →
cache13–30.1420%22 Aug →
inferno12–120.0015%21 Aug →
office13–100.0620%21 Aug →
mirage5–130.0613%19 Aug →
anubis13–60.0937%19 Aug →
mirage15–150.0315%18 Aug →
mirage13–8-0.0022%18 Aug →
dust210–130.0816%18 Aug →
nuke13–110.0111%17 Aug →
ancient13–60.0317%17 Aug →
anubis9–13-0.0720%17 Aug →
nuke13–30.0423%17 Aug →
cache13–90.0519%16 Aug →
cache15–15-0.0326%16 Aug →
anubis8–13-0.0122%15 Aug →
anubis13–80.1119%15 Aug →
ancient13–160.0222%14 Aug →
ancient8–13-0.0111%14 Aug →
nuke13–90.0424%13 Aug →
cache13–110.1514%12 Aug →
anubis13–5-0.0519%12 Aug →
anubis13–30.0311%11 Aug →
ancient13–90.1527%11 Aug →
ancient13–90.0823%10 Aug →
anubis13–80.0422%4 Aug →
cache13–10.0518%4 Aug →
inferno13–16-0.0226%4 Aug →
cache8–13-0.0228%1 Aug →
anubis13–100.1319%30 Jul →
inferno4–13-0.0120%27 Jul →
mirage7–130.0213%25 Jul →
ancient13–60.0517%25 Jul →
cache9–130.0417%30 Jun →
train13–50.0726%30 Jun →
dust27–13-0.0331%27 Jun →
nuke13–50.0720%27 Jun →
inferno13–90.0423%27 Jun →
mirage13–6-0.0224%27 Jun →
cache13–50.0428%27 Jun →
dust20–13-0.130%26 Jun →
inferno5–130.0530%26 Jun →
mirage8–130.0524%26 Jun →
dust26–13-0.0219%26 Jun →
anubis9–13-0.0020%19 Jun →
dust213–90.0829%18 Jun →
inferno7–130.0226%4 Jun →
mirage12–12-0.0414%4 Jun →
anubis11–130.0426%3 Jun →
nuke8–130.0014%3 Jun →
inferno12–160.0227%2 Jun →
dust213–70.0320%2 Jun →
nuke13–60.0726%2 Jun →
mirage13–100.0717%2 Jun →
nuke10–130.0120%2 Jun →
ancient1–50.0775%2 Jun →
inferno12–16-0.0341%2 Jun →
train8–130.0128%31 May →
cache13–100.0625%31 May →
mirage3–13-0.0126%31 May →
dust25–13-0.0328%31 May →
overpass14–160.0213%31 May →
inferno8–130.0219%31 May →
ancient8–13-0.0630%31 May →
inferno13–7-0.0214%31 May →
cache13–9-0.0030%31 May →
vertigo9–130.0215%31 May →
anubis13–110.0515%29 May →
cache10–13-0.0226%28 May →
overpass5–13-0.0412%28 May →
ancient7–13-0.0527%28 May →
inferno13–6-0.0428%28 May →
overpass13–70.0324%27 May →
inferno13–8-0.0112%27 May →
nuke13–110.0413%27 May →
inferno10–13-0.0323%27 May →
dust28–130.0422%26 May →
mirage8–130.0120%26 May →
inferno8–130.0320%26 May →
dust28–130.0027%26 May →
dust24–13-0.0517%26 May →
inferno16–130.0228%26 May →
nuke10–130.0916%26 May →
vertigo13–20.1224%25 May →
cache13–110.0129%25 May →
anubis13–110.0225%24 May →
overpass13–20.0717%24 May →
nuke13–50.1018%24 May →
nuke13–110.0322%24 May →
nuke9–130.0130%23 May →
nuke13–110.0525%23 May →
nuke7–13-0.0023%23 May →
anubis9–130.019%23 May →
nuke13–80.0820%23 May →
cache13–50.1338%22 May →
dust22–13-0.059%22 May →
cache8–3-0.0440%22 May →

Match data via Leetify.

Recent teammates

Milestones

2.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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