JCJR8 — CS2 Stats

76561198099168690[U:1:138902962]

94Tracked matches64%Win rate2021Tracked since
750Hours in CS
CSDB Rating7.0 StrongAggressive Rifler
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGJCJR8FACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim85
Positioning58
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY45286Last 7957%Win rateLWWWLWWLWT

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.5
Aggression8.4
Utility3.4
Positioning5.8
Opening Duels3.5
Clutch6.0

Sharp aimerExcellent counter-strafingStrong 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.

Your pro match

ropz

Plays most like ropz 89% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: lower utility contribution.

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

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 53% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 600ms 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

Aim8.5
Positioning5.8
Utility3.4
Mechanics9.5
Opening Duels3.5
Win Impact9.8

Composite 7.0/10 (Strong), 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 rating0.04−0.00
first ⅓ avg 0.04 → last ⅓ avg 0.04
Reaction time603ms+3ms
first ⅓ avg 600ms → last ⅓ avg 603ms
Headshot accuracy17.6%−2.9%
first ⅓ avg 20.5% → last ⅓ avg 17.6%

Rolling 5-match average across the last 79 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.20Best rating — overpass 13–9
132Biggest win — alpine
6Longest win streak
79In matches decided by ≤2 rounds
15Overtime games

Map breakdown

vertigoBest map · 86% over 7ancientWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageC167944%0.04
overpassB157847%0.06
infernoS128467%0.04
dust2A85363%0.07
nukeS75271%0.03
vertigoS76186%0.00
ancientC52340%0.02
anubis42250%0.04
cache21150%0.01
italy1010%-0.03
alpine110100%0.13
train110100%0.01

Across the last 79 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,970Lifetime kills
1.16K/D · Top 50% of tracked players
1,480Matches
41.1%Match win rate
46.7%Headshot % · Top 50% of tracked players
18.2%Shot accuracy · Top 10% of tracked players
3,333MVPs
750Hours (in match)
1,320Bombs planted
326Bombs defused

Most-used weapons

Lifetime map wins

7,200dust2
1,143inferno
927nuke
134vertigo
98cbble
82train
44bank
21assault

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

Faceit stats

Combat

17Matches
71%Win rate
1.74Avg K/D
113.6ADR
45%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis367%1.7125.7
Mirage2100%1.3419.0
Train1100%5.6717.0
Nuke1100%2.7825.0

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.

17.4%Headshot accuracy
40.4%Accuracy (enemy spotted)
41.1%Spray accuracy
92.9%Counter-strafing
9.8°Preaim
600msReaction time
35.3%T opening success
52.9%CT opening success
0.67Enemies flashed / flash
8.1%Flash assists
14.54HE damage / grenade
4.55Flashes / 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 35.2604% — 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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–160.0216%6 Aug
cache16–120.0024%6 Aug
nuke13–60.0212%30 Jul
dust213–40.0224%31 Mar
italy11–13-0.0321%19 Mar
alpine13–20.1315%19 Mar
ancient13–9-0.027%17 Mar
ancient10–13-0.0020%15 Mar
vertigo13–80.0120%15 Mar
mirage12–120.1521%5 Nov
overpass15–150.0317%24 Oct
nuke13–80.1627%28 Jun
dust213–110.0215%10 Jun
mirage13–70.0823%27 May
ancient11–130.0311%21 May
anubis14–160.0011%21 May
nuke13–40.0315%21 May
mirage13–60.1112%19 May
inferno1–13-0.0421%19 May
mirage7–13-0.0413%19 May
mirage13–70.0213%15 May
dust213–40.0820%14 May
nuke13–70.0217%14 May
mirage8–130.0726%14 May
mirage9–130.0024%10 May
ancient13–80.078%7 May
train13–90.0119%7 May
dust213–90.1113%7 May
dust211–130.0619%7 May
nuke13–100.0417%6 May
dust28–130.0225%30 Apr
mirage11–130.0417%30 Apr
overpass10–30.0418%30 May
overpass8–130.0724%18 Apr
dust212–120.0815%18 Apr
inferno13–40.1117%18 Dec
anubis13–100.0221%17 Dec
anubis15–150.0313%17 Dec
vertigo16–140.0024%17 Dec
vertigo13–9-0.0418%17 Dec
ancient11–130.0220%17 Dec
vertigo10–130.0322%17 Dec
mirage11–130.0212%14 Dec
mirage13–160.0414%14 Dec
mirage7–13-0.0012%14 Dec
mirage8–130.0521%13 Dec
mirage13–80.0816%13 Dec
overpass11–130.0314%13 Dec
mirage13–11-0.0013%13 Dec
overpass13–90.0010%13 Dec
inferno13–11-0.0120%13 Dec
inferno13–100.0321%13 Dec
overpass13–30.1614%12 Dec
vertigo13–11-0.0118%12 Dec
overpass15–150.0216%12 Dec
overpass5–13-0.0126%11 Dec
overpass3–13-0.0226%11 Dec
overpass13–30.0428%11 Dec
inferno13–60.0318%11 Dec
overpass13–90.2029%11 Dec
nuke6–13-0.0922%10 Dec
nuke10–130.008%8 Dec
inferno16–140.0917%7 Dec
inferno13–40.088%7 Dec
mirage13–6-0.0522%7 Dec
overpass3–13-0.0032%6 Dec
vertigo13–7-0.0130%6 Dec
vertigo16–140.0527%6 Dec
inferno13–80.1518%6 Dec
overpass2–130.0630%6 Dec
anubis13–80.1013%6 Dec
dust213–60.1315%3 Dec
overpass13–30.1636%3 Dec
inferno14–160.0216%10 Nov
overpass13–90.1013%10 Nov
cache8–160.0129%12 Apr
inferno15–15-0.058%9 Mar
inferno16–70.0011%1 Jun
mirage16–90.0017%11 May

Match data via Leetify.

Recent teammates

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