Jabroni

Jabroni — CS2 Stats

76561197979348856[U:1:19083128]Steam profile ↗✓ No bans

2,490Tracked matches37%Win rate2020Tracked since
5,936Hours in CS18Hrs last 2 wks
CSDB Rating5.3 DevelopingPassive Rifler
Premier CS Rating19,875Purple band · top ~9% of ranked players (population est.)
CSDB Leaderboard#13459 of 31829 tracked
FaceitLevel 8 · 1,563 ELOTop 31.2% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,146), 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 8 medianLevel 9 medianvs Level 9
Headshot rate53.2%47.2%49.0%above
Shot accuracy18.8%12.3%13.1%above
Kill/death ratio0.851.071.080.23 short
Match win rate46.7%46.3%46.9%meets

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJabroniFACEITLevel 8 · 1,563 ELOSTANDINGTop 31.2% of rankedPREMIER19,875 · Purple bandcsdb.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

Aim78
Positioning51
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY44515Last 10044%Win rateLLWLWLWLLW

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

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

Aim7.8
Aggression2.8
Utility5.2
Positioning5.1
Opening Duels0.0
Clutch3.0

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 85% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; lower opening-fight frequency.

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. 589ms 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

Aim7.8
Positioning5.1
Utility5.2
Mechanics7.6
Opening Duels0.0
Win Impact0.6

Composite 5.3/10 (Developing), 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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time587ms−35ms
first ⅓ avg 622ms → last ⅓ avg 587ms
Headshot accuracy19.0%+2.2%
first ⅓ avg 16.8% → last ⅓ avg 19.0%

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

0.12Best rating — inferno 13–3
133Biggest win — inferno
5Longest win streak
L2Current streak
76In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 50% over 16infernoWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
mirageB2091145%-0.02
infernoC1761135%0.02
anubisB168850%0.01
cacheB157847%-0.01
ancientB115645%-0.01
dust2B115645%-0.01
nukeC83538%-0.01
train110100%0.01
boulder1010%0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

132,032Lifetime kills
0.85K/D
4,098Matches
46.7%Match win rate · Top 50% of Level 8 players
53.2%Headshot % · Top 25% of Level 8 players
18.8%Shot accuracy · Top 10% of Level 8 players
14,666MVPs
8,287Hours (in match)
9,168Bombs planted
1,744Bombs defused

Most-used weapons

AK-4764,464
AWP3,824
FAMAS2,656
P2502,597
MP92,143

Lifetime map wins

8,372inferno
4,995dust2
4,984nuke
3,784train
2,895vertigo
2,230cbble
634office
100italy

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

Faceit stats

Combat

1,252Matches
51%Win rate
1.09Avg K/D
73.5ADR
43%Headshot %

Clutches & streaks

35%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno5747%1.0515.2
Dust24652%0.9714.2
Ancient4252%0.9915.7
Mirage4233%1.0115.7
Nuke3358%0.9615.7
Anubis3259%1.0717.3
Overpass1947%1.0015.4
Train1457%1.1815.9

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.

18.8%Headshot accuracy
37.9%Accuracy (enemy spotted)
42.3%Spray accuracy
84.1%Counter-strafing
10.9°Preaim
589msReaction time
29.8%T opening success
26.7%CT opening success
0.66Enemies flashed / flash
5.6%Flash assists
7.49HE damage / grenade
6.66Flashes / 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 29.78% — 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.

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient5–130.0020%28 Aug
inferno13–16-0.069%28 Aug
ancient13–60.0016%28 Aug
cache5–13-0.0815%25 Aug
dust213–80.0411%23 Aug
cache8–13-0.0629%23 Aug
ancient13–110.0011%23 Aug
mirage1–13-0.1118%23 Aug
inferno10–130.0312%19 Aug
dust213–70.0514%19 Aug
cache10–13-0.0516%19 Aug
mirage13–4-0.0022%19 Aug
inferno11–130.0213%18 Aug
cache13–70.0015%18 Aug
mirage10–13-0.0330%18 Aug
mirage14–16-0.0127%18 Aug
anubis13–50.0227%17 Aug
mirage13–10-0.0324%17 Aug
nuke7–13-0.058%17 Aug
dust29–13-0.0319%17 Aug
inferno10–130.0412%17 Aug
cache13–110.0116%16 Aug
cache4–13-0.0817%15 Aug
nuke8–13-0.0226%14 Aug
mirage13–100.0229%14 Aug
cache12–16-0.0622%13 Aug
anubis11–13-0.0116%13 Aug
ancient12–160.0025%12 Aug
inferno7–130.0323%12 Aug
mirage13–110.0320%11 Aug
mirage6–13-0.0320%11 Aug
anubis8–130.0524%11 Aug
cache13–7-0.0220%10 Aug
mirage13–8-0.0610%10 Aug
dust21–10-0.0527%9 Aug
mirage15–15-0.0118%9 Aug
ancient13–40.0418%9 Aug
inferno13–30.1220%9 Aug
dust210–13-0.0016%8 Aug
inferno7–13-0.0218%8 Aug
cache16–12-0.0122%8 Aug
anubis11–13-0.0219%8 Aug
nuke13–6-0.029%8 Aug
inferno7–13-0.0116%8 Aug
cache13–80.0418%8 Aug
anubis7–13-0.0120%7 Aug
inferno13–90.0121%7 Aug
mirage15–15-0.0413%6 Aug
inferno13–10-0.0521%6 Aug
anubis8–130.0038%5 Aug
mirage13–8-0.0221%5 Aug
inferno7–130.0033%4 Aug
mirage13–5-0.0420%4 Aug
mirage10–130.0515%3 Aug
anubis13–70.0620%3 Aug
mirage13–80.0519%3 Aug
ancient14–16-0.0515%2 Aug
cache7–13-0.0227%2 Aug
ancient12–16-0.0219%2 Aug
anubis10–13-0.0624%2 Aug
ancient2–13-0.0717%1 Aug
dust213–110.0231%1 Aug
cache13–90.0122%1 Aug
anubis13–80.0011%1 Aug
ancient8–13-0.0117%1 Aug
mirage6–13-0.0411%1 Aug
anubis4–13-0.0531%1 Aug
mirage15–15-0.0410%31 Jul
nuke9–13-0.0113%31 Jul
anubis13–60.0618%30 Jul
mirage13–60.0217%30 Jul
anubis13–80.0316%29 Jul
nuke13–11-0.0321%29 Jul
ancient19–15-0.0418%28 Jul
inferno16–19-0.0314%28 Jul
ancient13–80.0612%26 Jul
dust210–13-0.0715%26 Jul
inferno13–60.0616%26 Jul
inferno13–100.0813%26 Jul
dust213–90.0418%26 Jul
nuke8–130.0112%25 Jul
anubis13–11-0.0315%25 Jul
nuke13–80.0330%25 Jul
dust23–13-0.0412%25 Jul
anubis13–50.0819%25 Jul
anubis13–80.0220%24 Jul
cache8–130.0529%24 Jul
mirage11–130.0113%23 Jul
train13–90.018%23 Jul
anubis10–13-0.0119%23 Jul
inferno9–13-0.0315%23 Jul
inferno8–130.0116%22 Jul
cache12–120.0124%21 Jul
cache16–140.0326%21 Jul
inferno13–30.1023%21 Jul
dust213–10-0.0519%20 Jul
nuke12–12-0.0113%19 Jul
boulder7–130.0910%18 Jul
dust25–13-0.0316%18 Jul
mirage7–13-0.0614%17 Jul

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 →