j0mppaz

j0mppaz — CS2 Stats

76561198168455113[U:1:208189385]Steam profile ↗✓ No bans

1,989Tracked matches50%Win rate2020Tracked since
CSDB Rating6.8 SolidPositional Player
FaceitLevel 10 · 2,537 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,537 → 2,537
+11Tracked matches · now 1,989
+3.6ppWin rate · 46.4% → 50.0%
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. 41 days played since 14 Jun 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: 17,004 +358 28 Jun3 Jul · 2 days played
16,64617,004peak 17,00428 Jun3 Jul
Faceit ELO: 2,537 +0 2 Sept14 Sept · 3 observations
2,5372,537peak 2,5372 Sept14 Sept
17,108Peak Premier in tracked matches
2,537Highest Faceit ELO seen on CSDB
41Days played since 2026-06-14

Faceit ELO

  • At peak — 2,537
  • Next: 3,000 ELO at 3,000 463 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-02
  • Level 10 first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGj0mppazFACEITLevel 10 · 2,537 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,537csdb.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

Aim75
Positioning80
Utility63

0–100 skill scores via Leetify.

Recent form

COLD48484Last 10048%Win rateWLWLLLLLLW

Last 10 vs previous 10: −30pp win rate · −0.00 avg rating · +7.3pp headshot accuracy · +30ms reaction

Win rate down 30pp 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

  • 23 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 667ms

Last 10

  • 37 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 28%
  • Avg reaction 626ms

Last 20

  • 992 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 611ms

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 (+1.7 against its own average).

Aim7.5
Utility6.3
Positioning8.0
Opening Duels7.1
Clutch4.0

Effective flashesStrong positioning

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

m0NESY

Plays most like m0NESY 81% 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

Strengths

T openings. 66% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 66% on T to 51% on CT — first contacts on the defending side are being lost.

Reaction time. 583ms 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

Aim7.5
Positioning8.0
Utility6.3
Mechanics4.5
Opening Duels7.2
Win Impact5.0

Composite 6.8/10 (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 rating0.01−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time588ms−108ms
first ⅓ avg 697ms → last ⅓ avg 588ms
Headshot accuracy22.2%−4.2%
first ⅓ avg 26.4% → last ⅓ avg 22.2%

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

0.18Best match rating · 13–11 · dust2, 27 Jun
48%Best headshot accuracy · 2–13 · cache, 19 Jun
391msFastest reaction time · 13–4 · ancient, 3 Sept
13–1Biggest win · inferno, 25 Jul

Across the last 100 tracked matches.

Highlights

5Longest win streak
413In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 60% over 10cacheWeakest map · 43% over 35
MapGradePlayedRecordWin rateAvg rating
cacheC35152043%0.02
ancientB136746%0.02
nukeB126650%-0.01
dust2A106460%0.03
anubisA106460%0.02
mirageC94544%-0.01
infernoC94544%0.01
train1010%0.11
overpass110100%0.07

Across the last 100 tracked matches.

Faceit stats

Combat

5,235Matches
49%Win rate
1.12Avg K/D
81.4ADR
48%Headshot %

Clutches & streaks

40%1v1 clutch win
21%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage21849%1.1516.4
Dust219256%1.1615.8
Ancient18848%1.1116.2
Inferno12557%1.2717.2
Nuke12455%1.1416.9
Anubis8443%1.0915.8
Overpass5149%1.0315.2
Cache2846%1.1617.6

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.

22.2%Headshot accuracy
36.2%Accuracy (enemy spotted)
40.8%Spray accuracy
70.1%Counter-strafing
9.2°Preaim
583msReaction time
66.4%T opening success
51.2%CT opening success
0.73Enemies flashed / flash
10.4%Flash assists
8.43HE damage / grenade
5.67Flashes / match

Recommended for you

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

43% win rate across 35 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
nuke13–20.0124%15 Sept
nuke7–13-0.0524%14 Sept
dust213–80.0043%13 Sept
ancient9–130.0420%12 Sept
ancient6–13-0.0519%12 Sept
mirage6–13-0.0224%12 Sept
train11–130.1132%12 Sept
inferno11–130.0525%12 Sept
nuke9–13-0.0238%12 Sept
dust213–80.0426%12 Sept
cache12–120.0218%12 Sept
cache12–120.0135%12 Sept
cache13–80.1037%12 Sept
cache9–130.0217%11 Sept
ancient13–80.0822%11 Sept
anubis13–30.0317%11 Sept
nuke13–20.0111%11 Sept
ancient13–90.0321%9 Sept
inferno13–5-0.0514%9 Sept
nuke5–13-0.0710%9 Sept
ancient7–13-0.0328%5 Sept
cache9–13-0.0717%5 Sept
nuke13–11-0.0120%5 Sept
mirage13–90.0320%5 Sept
ancient13–40.0511%5 Sept
inferno13–5-0.0725%5 Sept
nuke9–13-0.0420%5 Sept
cache13–90.0416%5 Sept
nuke4–130.0117%5 Sept
inferno11–130.026%5 Sept
inferno11–13-0.0126%5 Sept
mirage13–80.0227%4 Sept
anubis13–6-0.0123%3 Sept
ancient13–40.0719%3 Sept
dust29–13-0.0714%1 Sept
cache3–13-0.0421%27 Aug
mirage13–160.0116%24 Aug
cache11–130.0418%23 Aug
cache13–30.0517%19 Aug
anubis8–130.0017%18 Aug
cache13–5-0.0024%16 Aug
anubis13–100.0529%15 Aug
anubis13–6-0.0311%11 Aug
ancient10–13-0.0122%11 Aug
ancient13–30.0614%10 Aug
inferno16–190.0116%10 Aug
anubis9–130.027%9 Aug
anubis13–60.0925%7 Aug
dust29–130.0123%6 Aug
cache13–90.0122%6 Aug
anubis13–30.0727%6 Aug
nuke13–40.0416%6 Aug
mirage10–13-0.0423%6 Aug
mirage13–90.0514%5 Aug
cache6–130.0217%5 Aug
nuke13–100.0224%4 Aug
anubis10–130.0120%4 Aug
dust213–110.0315%30 Jul
anubis10–13-0.0513%29 Jul
mirage13–8-0.0125%28 Jul
cache13–50.0919%27 Jul
inferno13–1-0.0117%25 Jul
dust213–90.0917%25 Jul
mirage3–13-0.0612%25 Jul
cache11–130.0721%24 Jul
cache11–130.0516%24 Jul
nuke13–70.0525%23 Jul
dust213–70.0824%23 Jul
cache13–20.1321%23 Jul
cache12–12-0.0223%4 Jul
cache1–13-0.0723%4 Jul
cache0–13-0.0519%4 Jul
cache13–50.0447%4 Jul
dust211–130.0229%3 Jul
inferno13–50.1523%3 Jul
ancient8–13-0.0219%3 Jul
dust211–13-0.0912%29 Jun
nuke11–13-0.0329%28 Jun
ancient14–16-0.0322%28 Jun
ancient13–30.1436%28 Jun
ancient7–13-0.0315%27 Jun
mirage7–13-0.0420%27 Jun
inferno14–160.0233%27 Jun
overpass13–90.0724%27 Jun
cache7–130.0614%27 Jun
dust213–110.1833%27 Jun
cache11–130.1221%27 Jun
cache13–80.0336%23 Jun
cache13–110.0430%22 Jun
cache7–130.0529%20 Jun
cache13–9-0.0540%19 Jun
cache13–70.0420%19 Jun
cache13–60.0538%19 Jun
cache13–90.0826%19 Jun
cache2–13-0.0119%19 Jun
cache2–13-0.0048%19 Jun
cache9–13-0.0231%19 Jun
cache10–130.0126%19 Jun
cache13–90.0027%19 Jun
cache12–12-0.0615%14 Jun

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →