jokumvp

jokumvp — CS2 Stats

FI76561198093108303[U:1:132842575]Steam profile ↗✓ No bans

687Tracked matches37%Win rate2021Tracked since
CSDB Rating2.9 LearningAll-Rounder
WingmanGold Nova I
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 53 days played since 29 Nov 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 6,918 +1,911 1 Dec8 Jun · 27 days played
3,4508,439peak 8,4391 Dec8 Jun
8,439Peak Premier in tracked matches
53Days played since 2025-11-29

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

Performance scores

Aim23
Positioning35
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY44533Last 10044%Win rateWWWLLLLWWL

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · +4.8pp headshot accuracy · +8ms 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

  • 32 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 686ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 18%
  • Avg reaction 658ms

Last 20

  • 911 · 45% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 16%
  • Avg reaction 654ms

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-RounderNo style dimension stands clear of the others in this profile.

Aim2.3
Utility3.8
Positioning3.5
Opening Duels1.7
Clutch4.0

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

jL

Plays most like jL 66% 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

T-side openings. Opening success drops from 42% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 688ms 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

Aim2.3
Positioning3.5
Utility3.8
Mechanics4.7
Opening Duels1.5
Win Impact0.6

Composite 2.9/10 (Learning), 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-0.03+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time662ms−42ms
first ⅓ avg 705ms → last ⅓ avg 662ms
Headshot accuracy14.2%−0.5%
first ⅓ avg 14.8% → last ⅓ avg 14.2%

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

0.16Best match rating · 9–3 · inferno, 1 Apr
50%Best headshot accuracy · 0–13 · inferno, 4 Apr
438msFastest reaction time · 1–13 · inferno, 2 Apr
13–2Biggest win · mirage, 31 Mar

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
87In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 71% over 7nukeWeakest map · 35% over 23
MapGradePlayedRecordWin rateAvg rating
infernoB25131252%-0.02
mirageC2591636%-0.04
nukeC2381535%-0.03
dust2S75271%-0.01
overpassA53260%-0.02
ancient42250%-0.04
vertigo31233%-0.11
cache2020%-0.01
anubis21150%-0.00
eldorado110100%-0.05
office110100%-0.08
poseidon1010%-0.10
train1010%-0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (35% over 23). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

38Matches
45%Win rate
0.66Avg K/D
67.9ADR
44%Headshot %

Clutches & streaks

40%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage520%0.559.4
Anubis30%0.6910.7
Ancient333%0.7214.0
Inferno20%0.6611.0
Nuke250%0.6610.5
Dust220%0.6511.0
Vertigo10%0.578.0
Overpass10%0.224.0

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.

14.6%Headshot accuracy
26.8%Accuracy (enemy spotted)
31.5%Spray accuracy
71.0%Counter-strafing
13.3°Preaim
688msReaction time
23.8%T opening success
41.8%CT opening success
0.47Enemies flashed / flash
4.8%Flash assists
9.30HE damage / grenade
5.34Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.2666° — above the 12° mark we flag

    Aim Training
  2. 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 14.5681% — below the 15% mark we flag

    Aim Training
  3. 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 0.4729 — below the 0.5 mark we flag

    Grenade Lineups
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 23 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno9–70.0428%1 Aug
eldorado9–5-0.0521%31 Jul
vertigo9–7-0.0318%31 Jul
nuke9–13-0.0218%19 Jul
mirage5–13-0.116%19 Jul
vertigo0–9-0.2020%17 Jun
mirage10–13-0.0718%8 Jun
inferno9–6-0.0429%8 Jun
inferno13–11-0.0513%6 Jun
mirage4–13-0.0910%6 Jun
nuke10–13-0.0611%6 Jun
dust213–10-0.0512%6 Jun
inferno13–30.002%6 Jun
mirage13–3-0.0318%23 May
nuke11–13-0.0117%17 May
overpass10–13-0.0618%15 May
nuke13–4-0.0212%15 May
cache11–130.0022%4 May
inferno4–13-0.074%4 May
cache11–13-0.0116%3 May
mirage10–130.0516%3 May
nuke9–13-0.009%29 Apr
nuke2–13-0.0310%27 Apr
nuke7–90.046%24 Apr
overpass13–30.0820%20 Apr
nuke13–70.0419%20 Apr
inferno5–13-0.106%13 Apr
mirage11–130.0011%8 Apr
nuke11–13-0.0318%7 Apr
inferno9–13-0.0610%5 Apr
nuke4–90.045%5 Apr
overpass13–11-0.0217%4 Apr
ancient13–4-0.0213%4 Apr
inferno0–13-0.0850%4 Apr
mirage13–6-0.019%4 Apr
dust213–5-0.0529%4 Apr
nuke13–7-0.0420%3 Apr
dust213–60.0321%3 Apr
dust213–30.0528%2 Apr
inferno13–7-0.0433%2 Apr
inferno1–13-0.055%2 Apr
inferno9–30.1632%1 Apr
inferno8–13-0.0711%1 Apr
mirage4–13-0.0421%1 Apr
mirage8–13-0.0918%1 Apr
mirage7–13-0.0218%31 Mar
inferno9–40.0916%31 Mar
vertigo4–9-0.107%31 Mar
ancient2–8-0.0523%31 Mar
mirage13–2-0.0221%31 Mar
nuke6–13-0.078%29 Mar
anubis13–90.0116%29 Mar
mirage13–8-0.0538%29 Mar
anubis4–13-0.0230%26 Mar
inferno8–8-0.0316%24 Mar
nuke13–6-0.0216%24 Mar
office13–8-0.0812%18 Mar
nuke13–10-0.0716%13 Mar
poseidon2–9-0.1016%11 Mar
inferno8–80.0114%10 Mar
inferno8–80.0511%2 Mar
nuke13–9-0.0615%27 Feb
mirage5–13-0.0713%26 Feb
mirage13–5-0.0823%26 Feb
nuke10–13-0.088%25 Feb
dust27–13-0.0821%25 Feb
ancient3–13-0.0611%25 Feb
mirage13–60.0322%23 Feb
overpass13–8-0.0014%23 Feb
nuke7–13-0.0614%15 Feb
dust212–10.0314%14 Feb
mirage6–13-0.048%24 Jan
nuke4–13-0.078%24 Jan
nuke13–9-0.0018%22 Jan
nuke8–13-0.0414%17 Jan
mirage5–13-0.088%17 Jan
mirage3–13-0.0121%11 Jan
inferno16–12-0.077%11 Jan
mirage12–4-0.1010%30 Dec
mirage7–13-0.0223%28 Dec
overpass5–13-0.1013%28 Dec
mirage13–20.0118%27 Dec
mirage13–30.1417%27 Dec
inferno9–20.1323%27 Dec
inferno12–16-0.068%19 Dec
inferno4–13-0.0623%17 Dec
inferno16–14-0.0715%17 Dec
mirage8–13-0.0821%17 Dec
nuke6–13-0.0218%17 Dec
mirage11–13-0.1021%6 Dec
mirage10–13-0.029%5 Dec
train3–13-0.0710%3 Dec
inferno9–40.0115%1 Dec
inferno5–13-0.0622%1 Dec
ancient13–11-0.0410%1 Dec
inferno13–70.0215%1 Dec
nuke13–110.0510%1 Dec
inferno16–14-0.0410%1 Dec
dust24–13-0.0215%30 Nov
nuke3–13-0.1316%29 Nov

Match data via Leetify.

Recent teammates

Milestones

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