josh_katt

josh_katt — CS2 Stats

FR76561199521515556[U:1:1561249828]Steam profile ↗✓ No bans

513Tracked matches57%Win rate2023Tracked since
849Hours in CS11Hrs last 2 wks
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating10,066Blue band · top ~54.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (2 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.

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. 45 days played since 20 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 10,066 -834 20 Jul21 Sept · 44 days played
8,20512,185peak 12,18520 Jul21 Sept
12,424Peak Premier in tracked matches
45Days played since 2026-07-20

Premier CS Rating

  • 2,119 below peak (12,185)
  • +1,861 over 30 days · improving
  • Next: Purple band at 15,000 4,934 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-08-30

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate33.9%41.9%44.3%10.4% short
Shot accuracy0.7%9.6%11.8%11.1% short
Kill/death ratio0.880.981.030.15 short
Match win rate45.2%43.8%45.2%meets

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGjosh_kattPREMIER10,066 · Blue 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

Aim63
Positioning59
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY44488Last 10044%Win rateTWWLTWLWWW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +10.0pp headshot accuracy · +28ms 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

  • 212 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 595ms

Last 10

  • 622 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 561ms

Last 20

  • 1172 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 547ms

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 PlayerPositioning stands above the rest of this profile (+2.5 against its own average).

Aim6.3
Utility4.4
Positioning5.9
Opening Duels3.2
Clutch0.0

Strong CT-side openerLimited 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

iM

Plays most like iM 88% 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 33% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 60% 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

Aim6.3
Positioning5.9
Utility4.4
Mechanics2.3
Opening Duels3.9
Win Impact7.4

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time528ms−129ms
first ⅓ avg 657ms → last ⅓ avg 528ms
Headshot accuracy17.3%+1.3%
first ⅓ avg 16.0% → last ⅓ avg 17.3%

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

0.37Best match rating · 9–0 · nuke, 16 Aug
33%Best headshot accuracy · 13–5 · inferno, 15 Aug
398msFastest reaction time · 9–0 · nuke, 16 Aug
13–1Biggest win · nuke, 7 Sept

Across the last 100 tracked matches.

Highlights

5Longest win streak
68In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 60% over 10infernoWeakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
dust2C28101836%-0.01
nukeA2011955%0.00
infernoD1861233%-0.02
mirageB158753%-0.01
anubisA106460%-0.00
cacheD62433%-0.02
ancient21150%-0.02
fachwerk1010%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,003Lifetime kills
0.88K/D
1,218Matches
45.2%Match win rate · Top 50% of Blue band
33.9%Headshot %
0.7%Shot accuracy
2,350MVPs
492Hours (in match)
1,424Bombs planted
304Bombs defused

Most-used weapons

Lifetime map wins

2,490dust2
1,812nuke
1,421inferno
453vertigo
119train
29office
8ar_shoots
2ar_baggage

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

Faceit stats

Combat

2Matches
100%Win rate
0.79Avg K/D
81.0ADR
42%Headshot %

Clutches & streaks

0%1v1 clutch win
100%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWW

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.

18.3%Headshot accuracy
34.2%Accuracy (enemy spotted)
33.3%Spray accuracy
60.2%Counter-strafing
8.0°Preaim
532msReaction time
33.0%T opening success
58.4%CT opening success
0.59Enemies flashed / flash
6.0%Flash assists
7.41HE damage / grenade
4.34Flashes / 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

    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 33.0311% — 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.

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno15–15-0.0225%21 Sept
dust213–7-0.0527%20 Sept
dust213–6-0.0411%20 Sept
dust26–70.0320%20 Sept
mirage15–15-0.0226%16 Sept
anubis13–9-0.0424%16 Sept
inferno6–13-0.0530%15 Sept
nuke13–90.0413%15 Sept
dust213–50.0027%13 Sept
anubis13–11-0.0217%13 Sept
mirage13–8-0.0220%12 Sept
anubis13–11-0.0214%12 Sept
dust211–130.0212%12 Sept
inferno13–8-0.013%11 Sept
dust27–13-0.059%8 Sept
nuke13–1-0.020%7 Sept
dust24–13-0.0710%6 Sept
cache7–13-0.0718%30 Aug
nuke13–20.0817%30 Aug
mirage7–13-0.0217%29 Aug
mirage13–7-0.0221%29 Aug
dust25–13-0.0827%29 Aug
anubis7–13-0.0227%29 Aug
inferno13–20.1523%29 Aug
inferno13–40.0125%29 Aug
nuke10–13-0.0215%26 Aug
dust26–13-0.036%26 Aug
mirage13–50.1214%25 Aug
mirage8–130.0118%25 Aug
dust213–9-0.0227%25 Aug
anubis11–130.0118%24 Aug
nuke11–13-0.024%23 Aug
dust213–110.0410%23 Aug
anubis13–100.0714%23 Aug
dust212–60.0013%23 Aug
inferno8–13-0.0722%23 Aug
inferno7–13-0.048%22 Aug
mirage13–110.028%22 Aug
nuke13–90.0011%21 Aug
inferno14–160.009%19 Aug
nuke13–10-0.0819%18 Aug
dust23–13-0.0112%18 Aug
anubis13–70.0710%18 Aug
cache11–130.0218%16 Aug
dust26–13-0.057%16 Aug
inferno13–8-0.024%16 Aug
dust215–15-0.0216%16 Aug
anubis7–13-0.0014%16 Aug
cache5–13-0.0211%16 Aug
nuke9–00.3716%16 Aug
inferno6–13-0.0919%15 Aug
inferno13–5-0.0833%15 Aug
nuke12–16-0.0316%14 Aug
dust23–130.0023%14 Aug
nuke13–5-0.0119%14 Aug
dust210–13-0.0230%13 Aug
anubis13–90.0021%11 Aug
nuke1–13-0.077%10 Aug
cache13–6-0.0112%10 Aug
nuke7–13-0.0413%9 Aug
dust22–130.026%9 Aug
nuke8–13-0.0115%9 Aug
dust213–5-0.0314%9 Aug
fachwerk4–130.0114%8 Aug
nuke11–13-0.0315%8 Aug
cache8–13-0.0315%8 Aug
mirage13–8-0.0612%7 Aug
inferno8–8-0.0310%7 Aug
mirage15–15-0.0324%6 Aug
dust23–13-0.0910%6 Aug
ancient15–15-0.0510%5 Aug
mirage13–8-0.0112%5 Aug
nuke13–60.0115%4 Aug
dust215–15-0.0316%3 Aug
dust210–130.0211%2 Aug
cache13–10-0.0013%1 Aug
mirage13–6-0.0314%1 Aug
nuke6–13-0.0519%1 Aug
dust213–80.0613%1 Aug
nuke13–110.0611%1 Aug
mirage10–13-0.0114%30 Jul
nuke11–13-0.0811%29 Jul
dust26–13-0.0518%29 Jul
inferno4–13-0.0121%27 Jul
inferno3–9-0.198%27 Jul
inferno10–13-0.0422%26 Jul
dust213–30.0514%26 Jul
nuke16–12-0.0410%25 Jul
dust213–80.0633%25 Jul
nuke13–3-0.038%25 Jul
anubis15–15-0.0527%25 Jul
mirage5–13-0.1011%25 Jul
mirage16–14-0.0114%25 Jul
inferno4–90.0924%24 Jul
mirage9–13-0.0425%23 Jul
inferno4–9-0.0724%23 Jul
inferno13–80.0715%22 Jul
ancient13–80.0223%21 Jul
dust213–16-0.0718%20 Jul
dust26–13-0.0313%20 Jul

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 →