Sad lil jxmmy — CS2 Stats

76561198348612089[U:1:388346361]

1,233Tracked matches64%Win rate2021Tracked since
1,666Hours in CS40Hrs last 2 wks
CSDB Rating6.3 SolidHybrid Rifler
Premier CS Rating23,574Top 50% of 17,162 CSDB-tracked playersPink band · top ~4.6% of ranked players (population est.)
CSDB Leaderboard#6726 of 32868 tracked
FaceitLevel 9 · 1,780 ELOTop 20.7% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,109), 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 playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate53.2%49.0%52.0%above
Shot accuracy5.6%13.1%13.7%8.1% short
Kill/death ratio1.011.081.080.07 short
Match win rate44.8%46.9%48.8%4.0% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSad lil jxmmyFACEITLevel 9 · 1,780 ELOSTANDINGTop 20.7% of rankedPREMIER23,574 · Pink bandcsdb.gg/stats

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Performance scores

Aim78
Positioning50
Utility43

0–100 skill scores via Leetify.

Recent form

HOT51436Last 10051%Win rateLWWWWWWLWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.8
Aggression6.0
Utility4.3
Positioning5.0
Opening Duels1.9
Clutch3.0

Strong CT-side opener

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

NiKo

Plays most like NiKo 88% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; 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

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 46% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.8
Positioning5.0
Utility4.3
Mechanics6.7
Opening Duels2.0
Win Impact9.8

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time532ms−19ms
first ⅓ avg 551ms → last ⅓ avg 532ms
Headshot accuracy18.3%+1.9%
first ⅓ avg 16.3% → last ⅓ avg 18.3%

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.

Highlights

0.13Best rating — cache 13–5
131Biggest win — cache
6Longest win streak
67In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 82% over 11infernoWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
cacheB25131252%0.00
anubisA169756%-0.01
infernoD1441029%-0.00
ancientS119282%0.00
nukeC104640%-0.00
dust2C104640%-0.03
mirageA74357%-0.03
overpass42250%0.00
vertigo21150%0.01
train110100%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

43,890Lifetime kills
1.01K/D
2,041Matches
44.8%Match win rate
53.2%Headshot % · Top 50% of Level 9 players
5.6%Shot accuracy
4,372MVPs
1,166Hours (in match)
1,666Bombs planted
750Bombs defused

Most-used weapons

Lifetime map wins

3,006inferno
2,673nuke
2,588dust2
1,159vertigo
530train
68office
65cbble
13italy

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

Faceit stats

Combat

412Matches
54%Win rate
0.96Avg K/D
78.5ADR
49%Headshot %

Clutches & streaks

35%1v1 clutch win
23%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis10554%0.9615.5
Nuke7050%0.9214.7
Inferno4356%0.9114.7
Ancient4257%0.9215.1
Dust23441%0.9214.5
Cache3053%1.0717.5
Vertigo2560%1.2618.7
Overpass1650%0.9916.6

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.

18.1%Headshot accuracy
35.1%Accuracy (enemy spotted)
37.7%Spray accuracy
80.3%Counter-strafing
8.9°Preaim
534msReaction time
28.8%T opening success
46.4%CT opening success
0.53Enemies flashed / flash
0.3%Flash assists
6.23HE damage / grenade
5.77Flashes / 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 28.7715% — 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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache10–13-0.0711%29 Aug
cache13–80.0525%29 Aug
ancient13–9-0.0224%28 Aug
cache13–9-0.0220%28 Aug
nuke13–30.0316%28 Aug
inferno13–70.0611%28 Aug
cache13–50.0422%28 Aug
inferno2–13-0.0625%28 Aug
ancient13–20.0729%28 Aug
mirage7–4-0.0817%28 Aug
cache13–60.0221%27 Aug
nuke2–13-0.0121%27 Aug
cache13–110.0117%27 Aug
nuke15–15-0.0115%27 Aug
mirage16–14-0.0523%27 Aug
cache9–13-0.0622%26 Aug
inferno8–13-0.0129%24 Aug
cache13–60.037%24 Aug
inferno7–1-0.0217%24 Aug
nuke3–13-0.0521%20 Aug
ancient2–13-0.063%13 Aug
vertigo12–120.0222%10 Aug
anubis6–13-0.1018%9 Aug
nuke13–60.0413%9 Aug
anubis13–6-0.0613%9 Aug
dust216–19-0.0412%9 Aug
anubis13–90.0220%9 Aug
cache9–13-0.0219%7 Aug
nuke13–110.0411%7 Aug
cache13–90.0924%1 Aug
ancient13–20.0522%31 Jul
dust214–160.0122%29 Jul
ancient9–13-0.0212%29 Jul
inferno11–130.0330%28 Jul
ancient16–130.0419%27 Jul
cache13–70.0225%27 Jul
ancient13–7-0.0621%27 Jul
ancient13–30.0619%26 Jul
dust26–13-0.0319%26 Jul
anubis5–13-0.0818%24 Jul
cache8–13-0.0521%24 Jul
inferno13–100.0718%18 Jul
anubis13–110.0116%18 Jul
ancient13–7-0.0222%29 Jun
cache8–130.0018%29 Jun
mirage11–13-0.0422%25 Jun
dust213–40.0224%24 Jun
ancient13–8-0.0115%22 Jun
mirage7–130.0318%22 Jun
dust28–13-0.0720%22 Jun
ancient13–10-0.0021%22 Jun
dust216–120.0111%22 Jun
nuke11–13-0.068%21 Jun
train13–9-0.0120%21 Jun
dust212–12-0.0221%21 Jun
overpass11–13-0.017%21 Jun
anubis13–60.0414%21 Jun
anubis16–130.0121%21 Jun
anubis9–130.0320%16 Jun
overpass8–30.0924%15 Jun
anubis9–13-0.019%12 Jun
mirage13–40.015%12 Jun
cache10–13-0.0224%10 Jun
anubis10–13-0.0118%10 Jun
anubis13–70.0316%7 Jun
inferno7–13-0.0622%6 Jun
inferno12–12-0.045%4 Jun
cache13–10.0426%3 Jun
nuke13–80.0018%3 Jun
inferno13–70.0421%3 Jun
mirage3–13-0.0819%3 Jun
mirage13–2-0.0213%30 May
anubis13–10.0313%30 May
dust21–13-0.0929%30 May
nuke7–13-0.0016%30 May
inferno7–13-0.109%29 May
cache13–110.0218%29 May
dust213–9-0.0618%29 May
vertigo9–3-0.0132%28 May
inferno8–80.0514%28 May
dust213–9-0.0417%27 May
anubis13–70.0410%27 May
anubis13–9-0.0411%27 May
overpass13–5-0.049%27 May
cache7–130.0012%26 May
cache8–13-0.0017%26 May
cache14–16-0.007%24 May
cache19–17-0.0513%24 May
anubis7–13-0.0819%24 May
inferno10–130.0223%19 May
nuke11–13-0.0317%19 May
cache13–50.1320%14 May
cache12–12-0.0413%14 May
overpass5–13-0.0217%11 May
cache13–90.0730%10 May
anubis5–13-0.0217%9 May
inferno7–13-0.009%9 May
cache6–13-0.0615%8 May
inferno6–13-0.0413%8 May
cache10–13-0.077%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 →