Jogi

Jogi — CS2 Stats

DJ76561198107892228[U:1:147626500]Steam profile ↗✓ No bans

1,501Tracked matches56%Win rate2020Tracked since
5,820Hours in CS13Hrs last 2 wks
CSDB Rating7.0 StrongSupport
Premier CS Rating22,220Top 50% of 215,386 CSDB-tracked playersPink band · top ~6.1% of ranked players (population est.)
CSDB Leaderboard#54289 of 261580 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (3 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: 22,220 +1,683 30 Aug – 11 Nov · 24 days played
19,89322,979peak 22,97930 Aug11 Nov
23,232Peak Premier in tracked matches
21Days played since 2026-08-30

Premier CS Rating

  • 759 below peak (22,979)
  • +994 over 30 days · improving
  • Next: Red band at 25,000 — 2,780 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-16
  • Purple band first seen 2026-09-04

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 rate50.1%46.8%48.2%above
Shot accuracy25.2%13.0%13.2%above
Kill/death ratio0.791.061.070.28 short
Match win rate46.2%46.3%46.9%meets

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. 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.GGJogiFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER22,220 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim81
Positioning61
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY49–44–7Last 10049%Win rateWTTWWLLLWW

Last 10 vs previous 10: −10pp win rate · −0.05 avg rating · −1.7pp headshot accuracy · +38ms 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

  • 3–0–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 561ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 621ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 602ms

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 (+2.7 against its own average).

Aim8.1
Utility6.3
Positioning6.1
Opening Duels2.2
Clutch0.0

Excellent counter-strafing

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

sh1ro

Plays most like sh1ro 88% playstyle similarity

Most alike: utility contribution, positioning 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. 596ms 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

Aim8.1
Positioning6.1
Utility6.3
Mechanics8.5
Opening Duels3.0
Win Impact6.9

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time599ms+20ms
first ⅓ avg 579ms → last ⅓ avg 599ms
Headshot accuracy16.1%−0.7%
first ⅓ avg 16.8% → last ⅓ avg 16.1%

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

0.18Best match rating · 13–1 · nuke, 31 Oct →
29%Best headshot accuracy · 15–15 · cache, 23 Oct →
445msFastest reaction time · 16–13 · nuke, 11 Sept →
13–1Biggest win · nuke, 31 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–7In matches decided by ≤2 rounds
19Overtime games

Map breakdown

nukeBest map · 60% over 20dust2Weakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB2312–1152%-0.00
infernoB2311–1248%0.01
cacheC229–1341%-0.00
nukeA2012–860%0.02
dust2D62–433%-0.03
ancientC52–340%0.00
anubis—11–0100%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

319,678Lifetime kills
0.79K/D
7,771Matches
46.2%Match win rate
50.1%Headshot % · Top 50% of Level 8 players
25.2%Shot accuracy · Top 1% of Level 8 players
17,437MVPs
11,808Hours (in match)
7,994Bombs planted
1,778Bombs defused

Most-used weapons

AK-47181,968
AWP13,385
FAMAS4,505
MP93,216
MAC-103,025

Lifetime map wins

17,321inferno
10,160dust2
7,940nuke
5,308train
1,513vertigo
315cbble
116lake
82dust

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

Faceit stats

Combat

2,063Matches
51%Win rate
1.17Avg K/D
79.5ADR
38%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWL

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.

16.4%Headshot accuracy
37.5%Accuracy (enemy spotted)
38.8%Spray accuracy
88.3%Counter-strafing
8.5°Preaim
596msReaction time
47.5%T opening success
36.3%CT opening success
0.69Enemies flashed / flash
5.5%Flash assists
9.18HE damage / grenade
10.29Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.3458% — 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.

33% win rate across 6 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
mirage13–50.0722%11 Nov →
nuke15–15-0.0421%9 Nov →
cache15–15-0.0116%9 Nov →
mirage16–13-0.0416%9 Nov →
mirage16–14-0.0618%9 Nov →
cache5–13-0.0414%5 Nov →
dust212–16-0.0415%5 Nov →
cache11–130.0017%5 Nov →
dust213–90.0111%5 Nov →
inferno13–50.0113%5 Nov →
cache13–50.0727%5 Nov →
mirage4–13-0.0112%5 Nov →
nuke6–13-0.0116%5 Nov →
inferno13–30.0926%31 Oct →
dust25–13-0.0124%31 Oct →
inferno13–11-0.0116%31 Oct →
nuke9–40.0221%31 Oct →
nuke13–10.1813%31 Oct →
cache13–80.0913%31 Oct →
ancient11–13-0.0215%31 Oct →
dust26–13-0.0920%31 Oct →
inferno2–13-0.068%31 Oct →
mirage13–6-0.0017%30 Oct →
inferno10–130.0511%23 Oct →
cache15–15-0.0229%23 Oct →
inferno2–13-0.0810%23 Oct →
mirage13–50.0213%23 Oct →
inferno8–13-0.0610%21 Oct →
mirage13–11-0.058%21 Oct →
inferno13–6-0.0417%21 Oct →
cache15–15-0.067%21 Oct →
nuke13–100.0821%21 Oct →
dust213–10.0415%14 Oct →
inferno11–13-0.0320%14 Oct →
nuke13–110.0116%5 Oct →
cache13–16-0.0411%29 Sept →
nuke7–130.0624%29 Sept →
inferno13–9-0.0015%29 Sept →
dust24–13-0.0812%29 Sept →
nuke16–14-0.0119%29 Sept →
nuke9–13-0.076%24 Sept →
inferno10–130.0110%24 Sept →
nuke7–13-0.0215%24 Sept →
mirage9–130.0413%24 Sept →
nuke5–130.0113%21 Sept →
cache16–13-0.0216%21 Sept →
cache13–8-0.0415%21 Sept →
inferno13–5-0.0313%21 Sept →
cache10–13-0.0620%21 Sept →
mirage2–13-0.0316%21 Sept →
inferno11–10.0621%21 Sept →
mirage4–13-0.0523%21 Sept →
cache5–13-0.0510%21 Sept →
nuke12–30.0411%21 Sept →
cache11–13-0.0110%21 Sept →
anubis16–130.0414%20 Sept →
inferno10–130.0316%20 Sept →
nuke6–130.0114%20 Sept →
cache16–130.0616%20 Sept →
mirage13–50.0428%20 Sept →
ancient6–13-0.0113%20 Sept →
mirage7–13-0.0018%20 Sept →
inferno16–130.0920%20 Sept →
ancient8–130.0027%20 Sept →
nuke13–70.0213%11 Sept →
mirage15–15-0.0312%11 Sept →
nuke16–130.0316%11 Sept →
inferno13–50.0918%11 Sept →
mirage15–15-0.019%11 Sept →
cache13–110.0822%11 Sept →
mirage8–3-0.009%11 Sept →
inferno13–30.058%11 Sept →
cache13–40.0411%11 Sept →
nuke12–160.0020%11 Sept →
mirage13–100.0311%9 Sept →
ancient13–8-0.0117%9 Sept →
nuke16–130.0517%9 Sept →
mirage13–50.0118%9 Sept →
inferno10–13-0.0118%9 Sept →
cache13–50.0827%9 Sept →
cache6–13-0.0614%9 Sept →
cache10–13-0.0116%6 Sept →
cache13–40.0813%6 Sept →
nuke13–90.0420%6 Sept →
cache8–13-0.0615%4 Sept →
mirage9–13-0.0216%4 Sept →
inferno11–130.0625%4 Sept →
nuke12–20.0222%4 Sept →
mirage10–130.0511%3 Sept →
cache9–13-0.0320%3 Sept →
mirage13–70.0418%3 Sept →
mirage10–13-0.0114%1 Sept →
ancient13–110.0525%1 Sept →
inferno13–4-0.0016%1 Sept →
inferno11–13-0.0115%31 Aug →
nuke13–50.0316%31 Aug →
inferno15–15-0.0314%31 Aug →
mirage13–9-0.0019%30 Aug →
inferno11–13-0.0128%30 Aug →
mirage3–13-0.0311%30 Aug →

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 →

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