Jackboob

Jackboob — CS2 Stats

US76561198280660776[U:1:320395048]Steam profile ↗✓ No bans

1,052Tracked matches48%Win rate2023Tracked since
2,233Hours in CS24Hrs last 2 wks
CSDB Rating5.4 DevelopingHybrid Rifler
Premier CS Rating12,500Blue band · top ~41.6% of ranked players (population est.)
CSDB Leaderboard#20509 of 29795 tracked
WingmanMaster Guardian I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate41.8%41.7%44.1%2.2% short
Shot accuracy5.0%8.8%11.4%6.5% short
Kill/death ratio1.130.971.03above
Match win rate42.0%43.8%45.2%3.2% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGJackboobPREMIER12,500 · Blue bandcsdb.gg/stats

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Performance scores

Aim76
Positioning44
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY50437Last 10050%Win rateWLWWLLWLLW

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating

Player DNA

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

Aim7.6
Aggression5.3
Utility4.8
Positioning4.4
Opening Duels1.3
Clutch0.0

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 88% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; 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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

Reaction time. 592ms 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

Aim7.6
Positioning4.4
Utility4.8
Mechanics8.0
Opening Duels1.3
Win Impact4.4

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time600ms−11ms
first ⅓ avg 611ms → last ⅓ avg 600ms
Headshot accuracy17.7%+0.8%
first ⅓ avg 16.9% → last ⅓ avg 17.7%

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

0.20Best rating — dust2 13–11
131Biggest win — train
4Longest win streak
47In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 78% over 9infernoWeakest map · 38% over 21
MapGradePlayedRecordWin rateAvg rating
infernoC2181338%0.04
dust2B1910953%0.02
cacheC146843%0.00
mirageA148657%-0.00
nukeB105550%0.02
ancientS97278%0.06
anubis41325%-0.00
train42250%0.01
office31233%-0.00
overpass110100%0.02
vertigo110100%0.15

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,610Lifetime kills
1.13K/D · Top 25% of Blue band
2,402Matches
42.0%Match win rate
41.8%Headshot % · Top 50% of Blue band
5.0%Shot accuracy
4,457MVPs
680Hours (in match)
2,018Bombs planted
553Bombs defused

Most-used weapons

Lifetime map wins

5,192dust2
2,407inferno
1,781nuke
886train
773office
717vertigo
130italy
34ar_shoots

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

Faceit stats

Combat

4Matches
25%Win rate
0.48Avg K/D
56.8ADR
34%Headshot %

Clutches & streaks

0%1v1 clutch win
14%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage20%0.304.5
Dust210%0.408.0
Train1100%0.9222.0

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.

18.3%Headshot accuracy
35.3%Accuracy (enemy spotted)
34.8%Spray accuracy
86.1%Counter-strafing
8.7°Preaim
592msReaction time
33.3%T opening success
37.5%CT opening success
0.40Enemies flashed / flash
4.9%Flash assists
14.84HE damage / grenade
8.98Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3956 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 33.2786% — 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.

38% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–30.1022%28 Aug
ancient8–130.0521%28 Aug
ancient13–50.1019%27 Aug
nuke13–50.0420%26 Aug
inferno11–130.0015%26 Aug
anubis8–130.0112%26 Aug
office13–100.0015%26 Aug
cache10–13-0.0311%22 Aug
dust27–13-0.0212%22 Aug
cache13–70.0214%22 Aug
mirage9–9-0.0024%22 Aug
dust213–100.0221%21 Aug
mirage13–80.0510%21 Aug
inferno12–12-0.0523%21 Aug
train7–13-0.0421%21 Aug
ancient13–70.0621%21 Aug
cache16–140.0326%21 Aug
nuke1–6-0.0811%21 Aug
inferno6–13-0.0417%21 Aug
dust25–13-0.0316%21 Aug
mirage13–70.0317%20 Aug
cache8–13-0.0526%20 Aug
inferno10–13-0.0414%20 Aug
mirage5–130.0027%19 Aug
nuke12–120.0013%19 Aug
ancient13–20.1120%19 Aug
office7–13-0.0720%19 Aug
mirage13–11-0.0114%18 Aug
office12–120.0525%15 Aug
nuke11–30.0417%15 Aug
dust213–7-0.0418%15 Aug
mirage6–13-0.028%12 Aug
ancient13–80.0714%11 Aug
dust27–130.0026%11 Aug
inferno13–40.1717%11 Aug
dust213–80.1011%11 Aug
dust211–13-0.0425%11 Aug
nuke13–70.0821%8 Aug
dust213–5-0.0218%8 Aug
overpass13–80.0215%8 Aug
mirage13–70.038%8 Aug
mirage7–13-0.078%8 Aug
dust213–7-0.0013%4 Aug
cache10–13-0.0126%4 Aug
nuke13–100.0523%4 Aug
train13–10.1122%4 Aug
inferno13–40.1013%4 Aug
dust22–130.0018%3 Aug
cache9–13-0.0420%3 Aug
mirage8–13-0.0021%3 Aug
train10–13-0.0228%3 Aug
dust213–9-0.0117%3 Aug
dust213–110.1527%2 Aug
dust213–110.2025%2 Aug
mirage11–130.0414%2 Aug
dust27–13-0.0329%2 Aug
dust24–130.0319%2 Aug
vertigo13–100.1524%2 Aug
nuke9–130.1126%2 Aug
cache13–7-0.0314%1 Aug
ancient13–100.0121%1 Aug
ancient8–13-0.0511%1 Aug
anubis11–13-0.0718%1 Aug
inferno8–130.1528%1 Aug
cache13–60.0322%1 Aug
dust27–130.0221%1 Aug
nuke12–12-0.0618%1 Aug
train13–100.0023%1 Aug
mirage13–70.0516%1 Aug
dust28–13-0.0224%1 Aug
dust213–3-0.005%1 Aug
cache4–13-0.0424%1 Aug
nuke13–10.069%1 Aug
mirage13–10-0.089%31 Jul
cache13–50.0915%31 Jul
inferno13–50.0822%31 Jul
inferno8–80.0436%31 Jul
inferno9–130.0117%30 Jul
inferno10–13-0.0030%30 Jul
inferno8–13-0.0113%30 Jul
inferno11–130.0822%30 Jul
inferno13–30.0914%30 Jul
anubis13–50.0124%29 Jul
cache8–13-0.0614%29 Jul
inferno10–13-0.0018%29 Jul
cache13–80.0112%29 Jul
inferno13–80.0717%29 Jul
cache12–120.0911%29 Jul
inferno1–9-0.2613%29 Jul
inferno9–60.1410%29 Jul
inferno9–50.1226%29 Jul
inferno9–40.018%28 Jul
dust213–90.049%28 Jul
anubis9–130.0416%28 Jul
nuke11–13-0.0220%27 Jul
ancient13–70.0531%27 Jul
mirage13–6-0.0212%27 Jul
mirage13–9-0.046%27 Jul
cache8–130.0119%26 Jul
inferno8–80.1016%26 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 →