Jortsu

Jortsu — CS2 Stats

76561198291057922[U:1:330792194]Steam profile ↗✓ No bans

1,733Tracked matches52%Win rate2020Tracked since
CSDB Rating6.1 SolidAll-Rounder
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,733 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,219 +3,471 17 Feb – 6 Jul · 25 days played
18,74823,558peak 23,55817 Feb6 Jul
Faceit ELO: 2,001 +0 1 Sept – 25 Oct · 2 observations
2,0012,001peak 2,0011 Sept25 Oct
23,884Peak Premier in tracked matches
2,001Highest Faceit ELO seen on CSDB
43Days played since 2026-02-17

Faceit ELO

  • At peak — 2,001
  • Next: 2,500 ELO at 2,500 — 499 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-01
  • Level 9 first seen 2026-09-01

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.GGJortsuPEAK ELO2,001csdb.gg/stats

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Performance scores

Aim68
Positioning61
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateWLLLWWWWLL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +4.8pp headshot accuracy · −19ms 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 16%
  • Avg reaction 571ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 588ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 597ms

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.

Aim6.8
Utility5.4
Positioning6.1
Opening Duels5.5
Clutch4.4

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 89% playstyle similarity

Most alike: positioning profile, utility contribution.

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 58% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 620ms 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

Aim6.8
Positioning6.1
Utility5.4
Mechanics6.6
Opening Duels4.5
Win Impact5.6

Composite 6.1/10 (Solid), 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 rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time616ms+18ms
first ⅓ avg 598ms → last ⅓ avg 616ms
Headshot accuracy14.6%+0.1%
first ⅓ avg 14.5% → last ⅓ avg 14.6%

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

0.10Best match rating · 13–3 · cache, 29 Apr →
40%Best headshot accuracy · 9–1 · overpass, 16 Mar →
406msFastest reaction time · 13–8 · anubis, 11 Aug →
13–2Biggest win · ancient, 3 Mar →

Across the last 100 tracked matches.

Highlights

9Longest win streak
10–10In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 100% over 5mirageWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA2313–1057%0.02
nukeB199–1047%-0.01
ancientA148–657%0.00
dust2B126–650%0.01
overpassB105–550%-0.01
anubisC94–544%0.00
mirageC73–443%-0.01
cacheS55–0100%0.03
warden—10–10%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (43% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,318Matches
51%Win rate
1.09Avg K/D
77.5ADR
36%Headshot %

Clutches & streaks

42%1v1 clutch win
26%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno9852%0.9814.1
Nuke6863%1.0416.0
Dust25342%0.8613.8
Overpass4363%1.0315.9
Anubis3540%0.8516.5
Ancient2744%0.9415.4
Mirage2025%0.8616.6
Cache757%0.8616.1

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.

14.5%Headshot accuracy
36.8%Accuracy (enemy spotted)
35.5%Spray accuracy
79.9%Counter-strafing
8.7°Preaim
620msReaction time
37.4%T opening success
58.4%CT opening success
0.56Enemies flashed / flash
8.4%Flash assists
10.62HE damage / grenade
5.54Flashes / 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 14.4574% — 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 37.3681% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–100.0117%23 Oct →
mirage11–13-0.0210%13 Oct →
mirage8–130.0129%13 Oct →
ancient5–130.0313%3 Sept →
anubis13–8-0.0211%11 Aug →
inferno13–60.0620%23 Jul →
nuke13–80.0119%23 Jul →
cache13–50.0219%23 Jul →
ancient5–13-0.0312%6 Jul →
dust212–16-0.0217%6 Jul →
mirage13–10-0.028%6 Jul →
nuke13–90.0111%6 Jul →
nuke5–13-0.019%5 Jul →
inferno6–13-0.0519%5 Jul →
anubis8–130.0114%4 Jul →
nuke11–130.0711%1 Jul →
inferno13–7-0.0210%1 Jul →
anubis13–70.0217%1 Jul →
nuke13–6-0.048%29 Jun →
inferno6–13-0.0413%27 Jun →
nuke5–13-0.0312%27 Jun →
nuke13–10-0.0919%26 Jun →
inferno13–50.0619%26 Jun →
warden9–13-0.0317%25 Jun →
overpass9–130.0211%24 Jun →
nuke15–15-0.0021%24 Jun →
dust216–140.0410%17 Jun →
overpass11–13-0.0213%17 Jun →
ancient13–11-0.0313%16 Jun →
ancient13–60.0412%16 Jun →
inferno13–160.0613%15 Jun →
anubis4–130.0419%15 Jun →
inferno13–90.0417%15 Jun →
overpass13–100.075%11 Jun →
inferno13–60.0013%11 Jun →
dust213–110.0710%3 Jun →
ancient13–7-0.0314%3 Jun →
anubis6–130.0111%29 May →
cache13–70.0016%25 May →
nuke8–13-0.0511%29 Apr →
cache13–30.1029%29 Apr →
dust29–13-0.0519%28 Apr →
cache13–110.0224%26 Apr →
nuke13–11-0.0425%31 Mar →
nuke13–16-0.0119%30 Mar →
overpass7–13-0.0411%29 Mar →
inferno13–40.069%22 Mar →
inferno13–70.0715%22 Mar →
nuke6–130.009%22 Mar →
inferno13–100.0121%20 Mar →
nuke13–8-0.047%20 Mar →
ancient13–16-0.0310%20 Mar →
anubis11–130.0116%20 Mar →
inferno7–13-0.052%19 Mar →
ancient13–50.0917%19 Mar →
mirage6–13-0.0523%18 Mar →
inferno9–13-0.038%18 Mar →
ancient11–13-0.019%18 Mar →
ancient13–30.0512%18 Mar →
nuke11–13-0.0514%18 Mar →
dust22–13-0.0115%17 Mar →
anubis3–13-0.0617%17 Mar →
dust24–13-0.0412%17 Mar →
ancient7–13-0.0424%16 Mar →
overpass9–1-0.0140%16 Mar →
dust211–13-0.0311%14 Mar →
inferno11–130.0218%8 Mar →
overpass16–13-0.0514%5 Mar →
dust213–5-0.0216%4 Mar →
overpass16–130.0117%3 Mar →
anubis13–50.0016%3 Mar →
dust213–50.065%3 Mar →
nuke14–160.024%3 Mar →
ancient13–2-0.0012%3 Mar →
inferno7–13-0.048%3 Mar →
mirage8–13-0.0210%3 Mar →
nuke16–140.009%3 Mar →
ancient13–110.013%3 Mar →
overpass5–13-0.0613%2 Mar →
nuke4–13-0.0211%2 Mar →
dust213–40.0122%2 Mar →
inferno10–130.0011%21 Feb →
inferno13–90.0012%19 Feb →
overpass13–50.0115%19 Feb →
inferno13–60.0627%19 Feb →
inferno13–110.0120%19 Feb →
dust213–70.1022%19 Feb →
inferno13–110.0812%18 Feb →
nuke13–100.0216%18 Feb →
inferno16–130.0317%18 Feb →
ancient13–7-0.0212%18 Feb →
overpass12–16-0.028%18 Feb →
mirage16–14-0.0311%18 Feb →
inferno9–130.0013%18 Feb →
mirage13–90.0417%18 Feb →
ancient6–13-0.0131%18 Feb →
nuke13–6-0.0224%18 Feb →
dust211–130.039%17 Feb →
anubis13–40.0317%17 Feb →
inferno9–130.0426%17 Feb →

Match data via Leetify.

Recent teammates

Milestones

2K 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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