JAKE PARK

JAKE PARK — CS2 Stats

76561198165016489[U:1:204750761]Steam profile ↗✓ No bans

2,467Tracked matches50%Win rate2021Tracked since
3,470Hours in CS22Hrs last 2 wks
CSDB Rating4.7 DevelopingSupport
CSDB Leaderboard#30184 of 260020 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 24,275 +2,633 16 Mar – 21 Sept · 15 days played
19,56724,275peak 24,27516 Mar21 Sept
24,275Peak Premier in tracked matches
48Days played since 2026-03-16

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 Level 8 among CSDB-tracked players (n=15,525), 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 playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate46.9%46.8%48.2%1.3% short
Shot accuracy12.3%13.0%13.2%0.9% short
Kill/death ratio0.951.061.070.12 short
Match win rate40.6%46.3%46.9%6.3% short

This profile sits below the typical Level 9 player on every metric we can compare.

Widest gap: Match win rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJAKE PARKFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim50
Positioning52
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateWWLLLWLWLL

Last 10 vs previous 10: 0pp win rate · +0.04 avg rating · −0.7pp headshot accuracy · −3ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 505ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 534ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 535ms

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 (+1.9 against its own average).

Aim5.0
Utility5.9
Positioning5.2
Opening Duels2.0
Clutch3.0

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

iM

Plays most like iM 75% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 559ms 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

Aim5.0
Positioning5.2
Utility5.9
Mechanics3.3
Opening Duels2.4
Win Impact5.0

Composite 4.7/10 (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 -0.00 → last ⅓ avg -0.01
Reaction time571ms+1ms
first ⅓ avg 570ms → last ⅓ avg 571ms
Headshot accuracy19.4%+0.1%
first ⅓ avg 19.3% → last ⅓ avg 19.4%

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

0.23Best match rating · 9–1 · inferno, 30 Mar →
44%Best headshot accuracy · 13–11 · mirage, 12 Oct →
414msFastest reaction time · 9–13 · ancient, 21 Apr →
13–0Biggest win · mirage, 20 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
10–8In matches decided by ≤2 rounds
15Overtime games

Map breakdown

anubisBest map · 71% over 7dust2Weakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
mirageA2917–1259%-0.00
infernoB2312–1152%-0.00
ancientB136–746%0.01
dust2D91–811%-0.02
nukeD82–625%-0.03
anubisS75–271%-0.01
cacheD62–433%-0.02
overpassC52–340%-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

91,353Lifetime kills
0.95K/D
4,615Matches
40.6%Match win rate
46.9%Headshot % · Top 50% of Level 8 players
12.3%Shot accuracy
8,776MVPs
2,012Hours (in match)
3,935Bombs planted
1,218Bombs defused

Most-used weapons

AK-4730,595
AWP7,807
FAMAS2,426
MAC-101,857
Knife1,298

Lifetime map wins

9,267inferno
3,741dust2
2,194nuke
1,555train
1,305vertigo
832cbble
97office
41italy

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

Faceit stats

Combat

1,254Matches
50%Win rate
0.99Avg K/D
77.4ADR
44%Headshot %

Clutches & streaks

35%1v1 clutch win
21%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage19043%0.9115.1
Inferno15065%1.0115.8
Anubis9149%0.9315.9
Ancient7661%1.1016.9
Dust24330%0.8814.6
Nuke2938%0.9415.0
Vertigo2450%0.9815.2
Cache1833%1.0016.3

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.

18.1%Headshot accuracy
30.6%Accuracy (enemy spotted)
34.8%Spray accuracy
64.7%Counter-strafing
10.7°Preaim
559msReaction time
36.0%T opening success
43.3%CT opening success
0.49Enemies flashed / flash
9.2%Flash assists
11.14HE damage / grenade
12.43Flashes / 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 0.487 — 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 35.9569% — 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.

11% win rate across 9 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
mirage13–110.0913%31 Oct →
inferno22–18-0.0414%31 Oct →
dust23–13-0.0216%29 Oct →
mirage4–130.0223%29 Oct →
nuke8–13-0.0119%29 Oct →
mirage13–70.0917%28 Oct →
dust22–130.0120%28 Oct →
inferno13–10-0.0018%25 Oct →
mirage5–13-0.0315%22 Oct →
nuke11–130.049%21 Oct →
mirage16–14-0.0010%21 Oct →
ancient13–16-0.0310%19 Oct →
cache11–13-0.0721%17 Oct →
anubis13–16-0.0210%14 Oct →
ancient13–100.0321%14 Oct →
mirage13–11-0.0444%12 Oct →
mirage19–22-0.028%5 Oct →
anubis4–13-0.0621%5 Oct →
inferno5–13-0.065%5 Oct →
inferno13–7-0.0220%3 Oct →
anubis13–9-0.0616%24 Sept →
inferno13–110.0227%24 Sept →
anubis13–90.0226%21 Sept →
inferno6–13-0.0920%21 Sept →
nuke13–6-0.0217%21 Sept →
nuke1–13-0.1023%20 Sept →
mirage13–0-0.0126%20 Sept →
mirage13–7-0.0233%20 Sept →
inferno0–7-0.0538%20 Sept →
ancient13–20.0821%19 Sept →
mirage9–13-0.0315%19 Sept →
inferno13–100.0522%19 Sept →
cache5–130.0521%18 Sept →
ancient13–9-0.0124%18 Sept →
anubis13–10-0.0421%18 Sept →
inferno13–9-0.0018%14 Sept →
mirage13–80.0115%14 Sept →
anubis13–60.0922%14 Sept →
mirage7–00.027%14 Sept →
inferno11–130.0522%14 Sept →
nuke9–13-0.036%25 Jun →
ancient13–90.0522%23 Jun →
inferno5–13-0.1028%22 Jun →
ancient2–13-0.076%21 Jun →
inferno13–70.0117%21 Jun →
mirage16–14-0.0525%19 Jun →
mirage11–13-0.0518%16 Jun →
inferno13–90.0519%9 Jun →
dust213–16-0.0419%8 Jun →
mirage13–20.0624%8 Jun →
dust214–16-0.0223%8 Jun →
dust210–13-0.0627%19 May →
inferno10–13-0.0727%18 May →
mirage13–10-0.0616%18 May →
cache13–70.0411%12 May →
mirage13–100.1028%12 May →
cache13–9-0.0316%12 May →
inferno6–13-0.0322%6 May →
mirage6–13-0.0123%4 May →
mirage13–60.0124%3 May →
cache3–13-0.0519%3 May →
inferno13–50.1033%30 Apr →
cache10–13-0.0420%30 Apr →
nuke11–13-0.0424%30 Apr →
inferno15–15-0.0221%27 Apr →
overpass13–110.0713%25 Apr →
inferno4–130.0220%24 Apr →
dust25–13-0.068%24 Apr →
ancient9–130.0420%21 Apr →
ancient13–90.0220%21 Apr →
overpass7–130.0222%21 Apr →
mirage4–13-0.0416%14 Apr →
dust26–13-0.0422%10 Apr →
mirage13–11-0.0120%10 Apr →
dust213–16-0.0214%30 Mar →
mirage10–130.0116%30 Mar →
inferno9–10.2322%30 Mar →
inferno15–15-0.029%26 Mar →
overpass10–13-0.0511%26 Mar →
mirage11–130.0131%26 Mar →
mirage13–90.0223%25 Mar →
ancient12–16-0.0515%25 Mar →
dust213–40.0933%24 Mar →
mirage3–13-0.054%24 Mar →
ancient13–30.0015%22 Mar →
mirage15–15-0.0526%19 Mar →
anubis13–110.0117%19 Mar →
inferno16–14-0.0014%18 Mar →
mirage13–10-0.068%18 Mar →
ancient4–130.0217%18 Mar →
inferno8–130.0126%18 Mar →
overpass5–13-0.0228%17 Mar →
ancient8–130.0020%17 Mar →
nuke15–15-0.0427%17 Mar →
mirage13–11-0.0319%17 Mar →
overpass13–6-0.0315%17 Mar →
nuke13–9-0.0230%16 Mar →
ancient11–130.0240%16 Mar →
mirage10–130.0017%16 Mar →
inferno13–6-0.0413%16 Mar →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.