Jdeez

Jdeez — CS2 Stats

US76561198252922984[U:1:292657256]Steam profile ↗✓ No bans

164Tracked matches59%Win rate2022Tracked since
CSDB Rating6.7 SolidPositional Player
Ladder ranks via Leetify

Performance scores

Aim69
Positioning64
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY57–34–9Last 10057%Win rateLLWLWWLTWT

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −5.6pp headshot accuracy · +16ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 802ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 724ms

Last 20

  • 10–7–3 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 28%
  • Avg reaction 716ms

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 against its own average).

Aim6.9
Utility5.4
Positioning6.4
Opening Duels4.5

Excellent counter-strafing

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 87% 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

Areas to improve

Reaction time. 691ms 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

Aim6.9
Positioning6.4
Utility5.4
Mechanics8.8
Opening Duels4.5
Win Impact8.1

Composite 6.7/10 (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 rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time689ms+69ms
first ⅓ avg 621ms → last ⅓ avg 689ms
Headshot accuracy24.2%+2.3%
first ⅓ avg 21.9% → last ⅓ avg 24.2%

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

0.22Best match rating · 13–5 · office, 18 Dec →
46%Best headshot accuracy · 13–4 · inferno, 14 Feb →
453msFastest reaction time · 13–1 · ancient, 17 Dec →
13–0Biggest win · nuke, 10 Jan →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
6–6In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 69% over 13ancientWeakest map · 45% over 11
MapGradePlayedRecordWin rateAvg rating
dust2A1810–856%0.02
mirageA169–756%0.00
nukeA1610–663%0.01
infernoS139–469%0.03
trainA127–558%0.04
ancientB115–645%0.01
overpassB84–450%0.03
cache—21–150%0.00
anubis—21–150%0.04
agency—10–10%0.00
office—11–0100%0.22

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

24.8%Headshot accuracy
31.6%Accuracy (enemy spotted)
30.2%Spray accuracy
89.4%Counter-strafing
8.8°Preaim
691msReaction time
47.4%T opening success
48.4%CT opening success
0.63Enemies flashed / flash
5.1%Flash assists
6.37HE damage / grenade
12.16Flashes / match

Recommended for you

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.

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient7–130.0828%2 Aug →
cache8–130.0029%2 Aug →
mirage13–6-0.0419%2 Aug →
inferno2–13-0.0730%8 May →
nuke13–20.0525%8 May →
cache13–100.0026%8 May →
ancient11–13-0.0126%8 May →
dust212–120.0228%8 May →
dust213–60.0921%7 May →
mirage12–12-0.0119%7 May →
nuke7–13-0.0429%7 May →
nuke6–130.0541%14 Feb →
inferno13–40.0446%14 Feb →
nuke13–50.0022%12 Feb →
overpass13–30.0339%12 Feb →
inferno13–70.0230%30 Jan →
dust213–7-0.0125%30 Jan →
anubis12–120.0523%25 Jan →
ancient11–13-0.0216%25 Jan →
mirage13–10.0638%25 Jan →
overpass9–130.0339%25 Jan →
nuke8–13-0.0029%25 Jan →
inferno13–70.0324%25 Jan →
dust213–50.0413%25 Jan →
mirage13–70.0616%24 Jan →
ancient9–130.0215%24 Jan →
nuke13–11-0.0412%24 Jan →
anubis13–70.0317%24 Jan →
dust27–130.0313%24 Jan →
overpass13–30.1218%24 Jan →
mirage13–100.0119%19 Jan →
ancient13–80.0116%15 Jan →
mirage13–7-0.038%11 Jan →
train13–100.0312%11 Jan →
dust210–13-0.0514%11 Jan →
mirage11–130.0329%10 Jan →
inferno6–130.0625%10 Jan →
dust213–110.0137%10 Jan →
nuke13–00.0615%10 Jan →
train13–60.0532%10 Jan →
overpass13–30.0511%31 Dec →
dust213–100.0615%25 Dec →
mirage7–13-0.0112%25 Dec →
inferno13–40.0418%25 Dec →
ancient3–13-0.0113%25 Dec →
nuke13–100.0320%25 Dec →
train12–12-0.0117%25 Dec →
agency10–130.0015%22 Dec →
mirage11–130.0621%22 Dec →
inferno6–13-0.0220%22 Dec →
dust210–13-0.0322%22 Dec →
ancient13–8-0.1011%22 Dec →
train6–13-0.0022%22 Dec →
inferno11–13-0.0314%20 Dec →
overpass13–70.0642%20 Dec →
mirage12–120.0323%20 Dec →
train13–60.1530%20 Dec →
ancient13–90.0113%19 Dec →
mirage13–11-0.0235%19 Dec →
inferno13–80.0822%19 Dec →
train13–110.0423%19 Dec →
nuke8–2-0.0235%19 Dec →
dust213–80.1016%19 Dec →
overpass3–13-0.0621%19 Dec →
dust26–13-0.0523%19 Dec →
office13–50.2224%18 Dec →
dust213–100.0428%18 Dec →
ancient13–10.0413%17 Dec →
overpass5–13-0.0419%17 Dec →
mirage13–9-0.0222%17 Dec →
train13–60.0114%17 Dec →
dust213–20.1431%17 Dec →
nuke6–13-0.0615%17 Dec →
inferno13–110.0510%17 Dec →
inferno13–30.0617%15 Dec →
nuke13–90.0128%15 Dec →
dust25–130.0737%15 Dec →
nuke13–7-0.0119%13 Dec →
ancient13–80.1027%13 Dec →
mirage13–80.0011%13 Dec →
train13–50.1221%13 Dec →
mirage1–13-0.0111%11 Dec →
train13–10-0.0226%11 Dec →
inferno13–11-0.0124%10 Dec →
nuke10–13-0.0123%10 Dec →
mirage13–10-0.0422%10 Dec →
train12–120.0219%10 Dec →
ancient12–120.0115%10 Dec →
dust213–50.1138%10 Dec →
inferno13–100.1329%6 Dec →
train11–130.0618%6 Dec →
nuke13–40.1035%6 Dec →
dust213–6-0.0617%6 Dec →
dust210–13-0.0021%11 Aug →
train12–120.0633%8 Aug →
nuke9–13-0.0521%8 Aug →
dust25–13-0.0422%7 Aug →
overpass12–120.0218%7 Aug →
nuke13–20.0922%7 Aug →
mirage6–13-0.0425%7 Aug →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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