Jost

Jost — CS2 Stats

DE76561198404301527[U:1:444035799]Steam profile ↗✓ No bans

1,290Tracked matches53%Win rate2020Tracked since
1,665Hours in CS
CSDB Rating5.7 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (51 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,344 → 2,344
+4Tracked matches · now 1,290
0.0ppWin rate · 53.3% → 53.3%

Rating over time

2,344Highest Faceit ELO seen on CSDB
34Days played since 2025-12-21

Faceit ELO

  • At peak — 2,344
  • Next: 2,500 ELO at 2,500 — 156 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-13
  • Level 9 first seen 2026-09-13

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

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CSDB.GGJostPEAK ELO2,344csdb.gg/stats

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Performance scores

Aim74
Positioning50
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY43–57Last 10043%Win rateLWWLWLLWLW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +1.2pp headshot accuracy · −54ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 527ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 505ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 532ms

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: Positional Player — Positioning stands above the rest of this profile (+1.1 against its own average).

Aim7.4
Utility4.4
Positioning5.0
Opening Duels2.3
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

b1t

Plays most like b1t 95% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.4
Positioning5.0
Utility4.4
Mechanics6.8
Opening Duels1.8
Win Impact6.1

Composite 5.7/10 (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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time550ms+0ms
first ⅓ avg 550ms → last ⅓ avg 550ms
Headshot accuracy20.5%+5.2%
first ⅓ avg 15.2% → last ⅓ avg 20.5%

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

0.12Best match rating · 13–1 · overpass, 22 Dec →
33%Best headshot accuracy · 5–13 · cache, 19 Oct →
258msFastest reaction time · 3–13 · dust2, 27 Aug →
13–1Biggest win · overpass, 22 Dec →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–6In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 70% over 10infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeC156–940%-0.00
ancientB158–753%-0.01
anubisD134–931%-0.01
overpassA127–558%-0.00
trainD124–833%-0.03
dust2C114–736%-0.02
cacheS107–370%0.01
infernoD61–517%-0.04
mirageC52–340%-0.02
sanctum—10–10%-0.16

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

78,746Lifetime kills
0.95K/D
3,686Matches
40.3%Match win rate
45.2%Headshot % · Top 50% of tracked players
13.8%Shot accuracy · Top 50% of tracked players
8,159MVPs
1,665Hours (in match)
3,140Bombs planted
750Bombs defused

Most-used weapons

AK-4728,353
AWP5,750
MP71,313
MP91,283
P901,225

Lifetime map wins

6,516inferno
3,952dust2
2,412vertigo
1,961nuke
1,118train
407cbble
117lake
71office

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

Faceit stats

Combat

651Matches
54%Win rate
0.99Avg K/D
75.7ADR
48%Headshot %

Clutches & streaks

40%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient13153%0.9815.8
Anubis7447%1.1215.4
Nuke6760%1.0615.4
Dust26554%0.9013.9
Inferno6239%0.9414.3
Train5459%0.8814.0
Overpass4654%0.9013.6
Mirage3256%0.9615.6

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.

20.0%Headshot accuracy
33.4%Accuracy (enemy spotted)
37.5%Spray accuracy
80.8%Counter-strafing
10.0°Preaim
549msReaction time
30.9%T opening success
43.8%CT opening success
0.41Enemies flashed / flash
7.4%Flash assists
9.94HE damage / grenade
6.88Flashes / 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 0.4132 — 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 30.8802% — below the 40% mark we flag

Spend your practice time on Inferno

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache5–13-0.0133%19 Oct →
nuke13–9-0.0515%11 Oct →
nuke13–40.0223%11 Oct →
cache7–13-0.0426%11 Oct →
ancient13–60.0110%29 Aug →
dust23–13-0.0911%27 Aug →
nuke10–13-0.0520%27 Jul →
cache13–50.0725%27 Jul →
dust29–130.0224%27 Jul →
mirage13–110.0128%27 Jul →
ancient12–40.0629%26 Jul →
cache11–10.0929%26 Jul →
dust28–13-0.0031%26 Jul →
cache13–70.0121%26 Jul →
inferno10–13-0.0415%25 Jul →
dust213–80.0121%25 Jul →
ancient3–13-0.0617%25 Jul →
inferno13–9-0.056%24 Jul →
ancient11–13-0.0615%24 Jul →
dust26–13-0.0420%23 Jul →
cache10–13-0.0416%23 Jul →
cache19–17-0.0315%22 Jul →
cache13–80.0317%22 Jul →
ancient7–130.0020%22 Jul →
nuke13–80.0826%22 Jul →
cache13–100.0316%20 Jul →
nuke10–13-0.0319%19 Jul →
anubis2–13-0.0715%19 Jul →
ancient22–18-0.0229%16 Jul →
mirage19–17-0.0214%16 Jul →
cache13–70.0329%12 Jul →
ancient16–13-0.0114%17 Jun →
anubis12–160.0225%17 Jun →
ancient5–13-0.0512%17 Jun →
anubis7–13-0.0030%17 Jun →
dust29–13-0.0824%13 Jun →
dust213–5-0.0318%13 Jun →
dust29–13-0.0222%13 Jun →
mirage8–13-0.0526%13 Jun →
ancient9–130.0222%12 Jun →
nuke2–13-0.0512%12 Jun →
sanctum5–9-0.167%12 Jun →
anubis10–13-0.0216%10 Apr →
ancient13–10-0.0216%10 Apr →
nuke13–50.0525%10 Apr →
overpass19–170.0414%10 Apr →
inferno6–13-0.0627%17 Feb →
dust213–30.0328%9 Feb →
anubis6–13-0.0018%2 Feb →
nuke7–13-0.0824%2 Feb →
anubis8–13-0.0119%2 Feb →
dust213–100.0321%30 Jan →
anubis13–6-0.0222%22 Jan →
anubis13–6-0.0515%22 Jan →
nuke9–13-0.0216%13 Jan →
anubis6–130.0612%13 Jan →
overpass16–130.0620%12 Jan →
anubis10–13-0.0531%12 Jan →
anubis13–8-0.0629%12 Jan →
ancient13–90.0325%11 Jan →
mirage0–2-0.0133%11 Jan →
anubis13–70.0417%10 Jan →
anubis14–160.0124%10 Jan →
nuke8–13-0.0324%10 Jan →
nuke13–60.0326%10 Jan →
overpass12–16-0.0412%10 Jan →
inferno13–16-0.0116%10 Jan →
ancient10–13-0.0212%9 Jan →
overpass13–7-0.0321%9 Jan →
train13–9-0.0514%9 Jan →
inferno10–13-0.0710%9 Jan →
nuke9–13-0.0118%4 Jan →
train6–130.0016%4 Jan →
train11–13-0.0520%4 Jan →
inferno3–13-0.0114%1 Jan →
dust24–13-0.0420%1 Jan →
mirage4–13-0.0513%29 Dec →
train16–19-0.0513%23 Dec →
train6–13-0.0326%23 Dec →
nuke8–13-0.0311%23 Dec →
train16–13-0.0119%22 Dec →
ancient16–130.0216%22 Dec →
overpass13–10.128%22 Dec →
nuke11–130.049%22 Dec →
train7–13-0.0514%22 Dec →
overpass13–10-0.0018%22 Dec →
train13–40.0118%22 Dec →
ancient11–13-0.0414%22 Dec →
overpass8–13-0.0614%22 Dec →
overpass10–13-0.0111%22 Dec →
nuke13–110.0812%22 Dec →
overpass13–6-0.017%22 Dec →
train6–13-0.0213%22 Dec →
overpass5–13-0.0518%22 Dec →
train3–13-0.0519%22 Dec →
train5–13-0.0412%21 Dec →
ancient13–100.049%21 Dec →
overpass13–8-0.0224%21 Dec →
overpass9–13-0.0526%21 Dec →
train13–8-0.0316%21 Dec →

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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