jossutin

jossutin — CS2 Stats

FI76561198080286138[U:1:120020410]Steam profile ↗✓ No bans

940Tracked matches30%Win rate2023Tracked since
1,152Hours in CS10Hrs last 2 wks
CSDB Rating2.2 LearningPositional Player
Premier CS Rating4,156Grey band · top ~82.4% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (yesterday). 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: 4,156 -4,350 25 Jun – 11 Oct · 29 days played
4,1569,886peak 9,88625 Jun11 Oct
9,999Peak Premier in tracked matches
32Days played since 2026-06-25

Premier CS Rating

  • 5,730 below peak (9,886)
  • -741 over 30 days · declining
  • -5,730 over 90 days
  • Next: Light Blue band at 5,000 — 844 to go
  • Reached: Light Blue band

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 Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate35.9%38.2%39.9%4.0% short
Shot accuracy0.3%3.6%7.0%6.7% short
Kill/death ratio0.760.830.920.15 short
Match win rate40.4%40.2%42.3%1.9% short

This profile sits below the typical Light Blue band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGjossutinPREMIER4,156 · Grey 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

Aim36
Positioning38
Utility24

0–100 skill scores via Leetify.

Recent form

COLD30–70Last 10030%Win rateLLLLLWLWLL

Last 10 vs previous 10: −30pp win rate · +0.02 avg rating · +1.1pp headshot accuracy · +12ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 572ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 525ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 519ms

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 (+2.3 against its own average).

Aim3.6
Utility2.4
Positioning3.8
Opening Duels0.0
Clutch0.0

Limited utility dependence

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

ZywOo

Plays most like ZywOo 83% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Counter-strafing. Only 57% 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

Aim3.6
Positioning3.8
Utility2.4
Mechanics1.5
Opening Duels0.0
Win Impact0.0

Composite 2.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time538ms−73ms
first ⅓ avg 611ms → last ⅓ avg 538ms
Headshot accuracy11.6%+2.2%
first ⅓ avg 9.4% → last ⅓ avg 11.6%

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

0.06Best match rating · 9–6 · nuke, 18 Sept →
36%Best headshot accuracy · 6–13 · nuke, 23 Aug →
398msFastest reaction time · 13–11 · anubis, 23 Sept →
13–3Biggest win · anubis, 14 Jul →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L5Current streak
6–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 43% over 21ancientWeakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
nukeD227–1532%-0.04
anubisC219–1243%-0.04
infernoD183–1517%-0.04
ancientD132–1115%-0.06
cacheC125–742%-0.05
mirageD82–625%-0.04
overpass—32–167%-0.06
shelter—10–10%-0.08
dust2—10–10%-0.09
vertigo—10–10%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,410Lifetime kills
0.76K/D
1,636Matches
40.4%Match win rate · Top 50% of Grey band
35.9%Headshot %
0.3%Shot accuracy
2,636MVPs
590Hours (in match)
2,113Bombs planted
273Bombs defused

Most-used weapons

Lifetime map wins

3,038nuke
2,784inferno
982train
840dust2
570vertigo
315italy
51office
13cbble

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

Faceit stats

Combat

2Matches
50%Win rate
0.46Avg K/D
55.8ADR
45%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno10%0.477.0
Nuke1100%0.459.0

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.

10.2%Headshot accuracy
31.0%Accuracy (enemy spotted)
31.6%Spray accuracy
56.7%Counter-strafing
10.1°Preaim
533msReaction time
30.1%T opening success
26.4%CT opening success
0.24Enemies flashed / flash
3.5%Flash assists
9.69HE damage / grenade
1.01Flashes / 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 10.2329% — below the 15% mark we flag

    Aim Training →
  2. 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 0.2351 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 30.1424% — below the 40% mark we flag

Spend your practice time on Ancient

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

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis9–13-0.0412%11 Oct →
mirage3–130.0317%11 Oct →
mirage9–13-0.0618%1 Oct →
cache7–13-0.0413%27 Sept →
nuke5–13-0.038%27 Sept →
anubis13–110.010%23 Sept →
ancient6–13-0.0118%21 Sept →
anubis13–50.007%21 Sept →
inferno6–13-0.0420%21 Sept →
ancient8–13-0.057%20 Sept →
anubis13–11-0.023%20 Sept →
inferno14–16-0.070%20 Sept →
nuke13–6-0.0715%20 Sept →
anubis10–13-0.077%20 Sept →
anubis10–13-0.0510%18 Sept →
cache13–4-0.065%18 Sept →
inferno12–16-0.067%18 Sept →
overpass3–9-0.1321%18 Sept →
nuke9–60.0619%18 Sept →
inferno9–70.0322%18 Sept →
cache8–13-0.0915%17 Sept →
inferno7–13-0.0216%17 Sept →
nuke5–13-0.0511%15 Sept →
mirage11–13-0.0411%9 Sept →
anubis13–10-0.0911%9 Sept →
nuke13–11-0.017%9 Sept →
inferno7–13-0.070%9 Sept →
ancient16–13-0.079%8 Sept →
anubis10–13-0.0018%8 Sept →
mirage13–80.007%1 Sept →
anubis2–13-0.0115%31 Aug →
ancient3–13-0.0816%31 Aug →
inferno2–13-0.0517%31 Aug →
nuke8–13-0.0319%31 Aug →
anubis9–13-0.0317%27 Aug →
ancient4–13-0.0918%26 Aug →
inferno10–13-0.0217%26 Aug →
inferno12–160.0117%25 Aug →
anubis5–13-0.039%25 Aug →
anubis4–13-0.0814%25 Aug →
nuke13–60.0110%25 Aug →
inferno9–13-0.0415%23 Aug →
inferno0–13-0.030%23 Aug →
nuke6–13-0.0936%23 Aug →
inferno11–13-0.069%20 Aug →
inferno9–13-0.077%20 Aug →
anubis9–13-0.034%19 Aug →
ancient7–13-0.0626%19 Aug →
inferno9–13-0.029%12 Aug →
anubis5–13-0.0017%2 Aug →
cache5–13-0.0722%2 Aug →
nuke3–13-0.090%2 Aug →
ancient8–13-0.0324%28 Jul →
nuke3–13-0.070%28 Jul →
cache9–130.0116%28 Jul →
mirage5–13-0.0819%15 Jul →
cache5–13-0.076%15 Jul →
inferno8–13-0.0610%14 Jul →
anubis13–10-0.0518%14 Jul →
ancient13–9-0.060%14 Jul →
nuke6–13-0.0614%14 Jul →
cache16–12-0.055%14 Jul →
mirage13–16-0.0613%14 Jul →
anubis13–3-0.0510%14 Jul →
mirage13–5-0.010%14 Jul →
nuke13–6-0.029%14 Jul →
nuke10–13-0.059%13 Jul →
shelter5–13-0.080%13 Jul →
cache11–3-0.060%13 Jul →
nuke9–13-0.088%13 Jul →
inferno13–4-0.054%13 Jul →
ancient11–13-0.077%13 Jul →
ancient8–13-0.077%12 Jul →
nuke13–6-0.047%12 Jul →
ancient8–13-0.020%12 Jul →
anubis13–8-0.0611%12 Jul →
cache10–13-0.0726%12 Jul →
dust23–13-0.0910%10 Jul →
cache10–13-0.0110%10 Jul →
cache13–50.029%10 Jul →
cache13–9-0.079%10 Jul →
vertigo9–13-0.0228%10 Jul →
inferno7–13-0.0114%10 Jul →
anubis3–13-0.090%5 Jul →
mirage8–13-0.0811%5 Jul →
nuke13–16-0.0311%5 Jul →
anubis13–60.0018%5 Jul →
nuke12–16-0.0413%4 Jul →
nuke6–13-0.0517%2 Jul →
anubis13–11-0.055%2 Jul →
overpass13–8-0.036%2 Jul →
ancient8–130.008%2 Jul →
nuke3–13-0.0518%2 Jul →
ancient6–13-0.135%1 Jul →
nuke6–13-0.0211%1 Jul →
anubis10–13-0.018%1 Jul →
nuke11–13-0.080%25 Jun →
inferno13–6-0.0310%25 Jun →
overpass13–6-0.0212%25 Jun →
nuke16–14-0.0610%25 Jun →

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 →

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