☜Der Joshi☞

☜Der Joshi☞ — CS2 Stats

DE76561198081983738[U:1:121718010]Steam profile ↗✓ No bans

1,505Tracked matches41%Win rate2024Tracked since
CSDB Rating3.8 LearningClutch Specialist
Premier CS Rating11,908Blue band · top ~44.8% of ranked players (population est.)
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (25 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: 11,908 -2,015 10 May – 8 Sept · 29 days played
11,90814,435peak 14,43510 May8 Sept
14,551Peak Premier in tracked matches
51Days played since 2026-05-08

Premier CS Rating

  • 2,527 below peak (14,435)
  • -1,632 over 30 days · declining
  • -1,948 over 90 days
  • Next: Purple band at 15,000 — 3,092 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GG☜Der Joshi☞PREMIER11,908 · Blue bandcsdb.gg/stats

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Performance scores

Aim34
Positioning44
Utility56

0–100 skill scores via Leetify.

Recent form

COLD46–49–5Last 10046%Win rateLLLLLWTLWW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −4.9pp headshot accuracy · −69ms 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

  • 0–5 · 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 606ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 635ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 670ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.3 against its own average).

Aim3.4
Utility5.6
Positioning4.4
Opening Duels2.7
Clutch6.0

Effective flashes

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

jL

Plays most like jL 67% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Strengths

Flashes. 0.82 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 701ms 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

Aim3.4
Positioning4.4
Utility5.6
Mechanics5.8
Opening Duels2.0
Win Impact2.1

Composite 3.8/10 (Learning), 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-0.03−0.04
first ⅓ avg 0.01 → last ⅓ avg -0.03
Reaction time696ms−49ms
first ⅓ avg 745ms → last ⅓ avg 696ms
Headshot accuracy16.3%+0.8%
first ⅓ avg 15.5% → last ⅓ avg 16.3%

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

0.15Best match rating · 13–3 · nuke, 1 Jun →
37%Best headshot accuracy · 13–1 · cache, 10 Jul →
469msFastest reaction time · 5–13 · office, 13 Jul →
13–1Biggest win · anubis, 23 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L5Current streak
15–5In matches decided by ≤2 rounds
6Overtime games

Map breakdown

officeBest map · 67% over 6dust2Weakest map · 33% over 21
MapGradePlayedRecordWin rateAvg rating
dust2D217–1433%-0.02
ancientA1610–663%-0.03
infernoB147–750%-0.02
anubisB115–645%-0.00
cacheB115–645%0.02
vertigoC83–538%-0.01
nukeA74–357%0.01
officeS64–267%-0.00
train—31–233%0.04
mirage—20–20%-0.00
overpass—10–10%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

82Matches
55%Win rate
1.30Avg K/D
63.5ADR
33%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke1100%0.7512.0
Dust210%0.508.0

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.

16.6%Headshot accuracy
26.1%Accuracy (enemy spotted)
26.3%Spray accuracy
76.3%Counter-strafing
9.5°Preaim
701msReaction time
34.7%T opening success
41.1%CT opening success
0.82Enemies flashed / flash
5.2%Flash assists
7.53HE damage / grenade
6.57Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 701.0937ms — above the 700ms 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 34.7496% — 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 21 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
dust23–13-0.070%8 Sept →
ancient9–13-0.0115%7 Sept →
dust26–13-0.0122%3 Sept →
ancient3–13-0.0510%3 Sept →
ancient10–13-0.0823%29 Aug →
anubis13–30.1012%29 Aug →
inferno12–12-0.0613%28 Aug →
dust210–13-0.0710%25 Aug →
inferno13–11-0.0421%25 Aug →
nuke13–10-0.0113%22 Aug →
dust213–10-0.0215%22 Aug →
inferno5–13-0.0615%22 Aug →
dust28–13-0.0519%21 Aug →
inferno2–13-0.0510%21 Aug →
anubis10–13-0.0621%21 Aug →
anubis10–13-0.0635%18 Aug →
train6–13-0.0316%18 Aug →
cache9–13-0.0216%14 Aug →
inferno16–13-0.0415%14 Aug →
anubis13–9-0.0425%13 Aug →
dust213–110.009%11 Aug →
dust213–3-0.0435%11 Aug →
dust213–110.0130%5 Aug →
cache8–13-0.029%5 Aug →
dust25–13-0.0231%5 Aug →
ancient13–9-0.0414%2 Aug →
vertigo5–13-0.107%31 Jul →
dust24–13-0.0816%31 Jul →
ancient16–12-0.048%30 Jul →
vertigo13–60.0122%30 Jul →
vertigo4–13-0.054%30 Jul →
inferno13–40.016%23 Jul →
anubis13–10.0923%23 Jul →
nuke13–70.0414%23 Jul →
ancient5–13-0.118%22 Jul →
office13–70.0212%13 Jul →
office5–13-0.0217%13 Jul →
office13–9-0.046%13 Jul →
dust211–13-0.035%12 Jul →
nuke13–60.0223%11 Jul →
cache13–10.0937%10 Jul →
dust23–13-0.107%10 Jul →
ancient13–60.0013%10 Jul →
inferno6–13-0.0113%10 Jul →
inferno7–13-0.054%8 Jul →
office13–110.0212%8 Jul →
dust213–11-0.0017%8 Jul →
cache3–13-0.0016%8 Jul →
office8–13-0.059%8 Jul →
cache13–10.0913%4 Jul →
cache12–12-0.0230%4 Jul →
ancient7–13-0.0614%30 Jun →
dust213–160.0019%29 Jun →
cache13–9-0.0927%27 Jun →
ancient11–13-0.0310%25 Jun →
ancient13–70.0016%18 Jun →
anubis13–100.0418%17 Jun →
nuke9–13-0.0616%17 Jun →
train13–80.0511%17 Jun →
inferno13–110.0118%11 Jun →
nuke2–13-0.0714%10 Jun →
ancient13–100.0118%10 Jun →
anubis9–13-0.0317%9 Jun →
inferno13–110.039%9 Jun →
anubis6–13-0.0330%8 Jun →
inferno8–13-0.0118%8 Jun →
ancient16–14-0.0017%8 Jun →
vertigo0–130.0328%8 Jun →
vertigo3–5-0.048%6 Jun →
mirage10–13-0.0220%5 Jun →
vertigo13–110.0319%5 Jun →
anubis11–13-0.070%5 Jun →
ancient13–10-0.0214%5 Jun →
dust215–15-0.0134%4 Jun →
vertigo9–130.0018%3 Jun →
anubis13–80.0516%1 Jun →
overpass4–13-0.0515%1 Jun →
inferno13–50.0517%1 Jun →
anubis7–13-0.006%1 Jun →
nuke13–30.1522%1 Jun →
dust211–13-0.0216%31 May →
ancient13–11-0.027%31 May →
cache12–120.0316%29 May →
cache13–40.0620%23 May →
cache3–130.0315%23 May →
train12–120.0911%23 May →
vertigo13–60.0715%23 May →
dust213–90.0623%23 May →
dust21–13-0.0514%22 May →
dust213–110.0314%20 May →
nuke10–13-0.0213%20 May →
inferno13–50.016%20 May →
inferno9–13-0.0811%18 May →
mirage8–130.0212%17 May →
ancient13–110.0217%17 May →
dust28–13-0.0420%16 May →
office13–110.0513%15 May →
dust210–130.0120%11 May →
ancient16–140.0113%10 May →
cache13–110.0719%8 May →

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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