jibbly — CS2 Stats

76561199112618038[U:1:1152352310]

2,609Tracked matches74%Win rate2020Tracked since
3,081Hours in CS11Hrs last 2 wks
CSDB Rating5.2 DevelopingHybrid Rifler
Premier CS Rating12,201Blue band · top ~43.2% of ranked players (population est.)
CSDB Leaderboard#31970 of 46895 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=2,468), 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 rate44.0%41.4%44.2%meets
Shot accuracy13.4%9.0%11.6%above
Kill/death ratio1.030.971.03meets
Match win rate44.1%43.7%45.2%1.1% short

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

Widest gap: Match win rate. 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.GGjibblyPREMIER12,201 · Blue bandcsdb.gg/stats

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Performance scores

Aim72
Positioning44
Utility12

0–100 skill scores via Leetify.

Recent form

STEADY55423Last 10055%Win rateWWWLLWTLLW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

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

Aim7.2
Aggression6.0
Utility1.2
Positioning4.4
Opening Duels1.9
Clutch3.6

Limited 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

Twistzz

Plays most like Twistzz 79% playstyle similarity

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

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.

Reaction time. 648ms 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

Aim7.2
Positioning4.4
Utility1.2
Mechanics7.3
Opening Duels1.9
Win Impact10.0

Composite 5.2/10 (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 rating-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time652ms+9ms
first ⅓ avg 643ms → last ⅓ avg 652ms
Headshot accuracy24.1%+3.9%
first ⅓ avg 20.2% → last ⅓ avg 24.1%

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 — ancient 13–6
131Biggest win — ancient
5Longest win streak
W3Current streak
117In matches decided by ≤2 rounds
14Overtime games

Map breakdown

dust2Best map · 78% over 9ancientWeakest map · 50% over 20
MapGradePlayedRecordWin rateAvg rating
mirageB21111052%-0.01
ancientB20101050%0.00
infernoB158753%0.00
cacheB147750%-0.01
anubisA106460%-0.02
dust2S97278%-0.02
nukeA95456%-0.01
train1010%-0.02
fachwerk110100%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (50% over 20). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

73,057Lifetime kills
1.03K/D · Top 50% of Blue band
4,475Matches
44.1%Match win rate · Top 50% of Blue band
44.0%Headshot % · Top 50% of Blue band
13.4%Shot accuracy · Top 50% of Blue band
8,028MVPs
1,569Hours (in match)
3,691Bombs planted
789Bombs defused

Most-used weapons

AK-4718,171
AWP11,898
SSG 083,708
FAMAS2,158
XM10141,591

Lifetime map wins

9,549dust2
4,888inferno
3,036vertigo
2,170train
2,075nuke
367office
132cbble
56lake

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

Faceit stats

Combat

222Matches
46%Win rate
0.92Avg K/D
70.5ADR
43%Headshot %

Clutches & streaks

38%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage7051%0.8813.4
Anubis3231%0.8112.1
Dust22339%0.8613.0
Ancient2162%0.8512.0
Inferno1867%1.3018.7
Vertigo1457%1.0717.0
Nuke1145%0.9114.0
Cache1040%1.1717.6

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.

24.5%Headshot accuracy
34.7%Accuracy (enemy spotted)
33.6%Spray accuracy
83.1%Counter-strafing
9.9°Preaim
648msReaction time
35.7%T opening success
39.2%CT opening success
0.33Enemies flashed / flash
0.0%Flash assists
6.37HE damage / grenade
0.95Flashes / 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 0.3317 — 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 35.6777% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
mirage13–11-0.0428%26 Aug
inferno16–140.0228%26 Aug
cache13–40.0637%26 Aug
dust214–16-0.0920%25 Aug
ancient6–13-0.0121%24 Aug
ancient13–80.0643%23 Aug
cache15–15-0.0216%23 Aug
mirage8–13-0.1030%21 Aug
inferno9–13-0.0634%20 Aug
ancient13–10.0138%20 Aug
ancient9–13-0.0719%19 Aug
nuke16–130.0335%19 Aug
mirage13–90.0023%16 Aug
dust213–80.0113%16 Aug
anubis13–8-0.019%16 Aug
mirage13–60.1019%16 Aug
nuke9–13-0.0730%14 Aug
train12–12-0.0219%14 Aug
mirage16–140.0419%14 Aug
ancient13–50.0153%14 Aug
dust213–110.0121%13 Aug
nuke13–5-0.0330%12 Aug
ancient15–15-0.0728%9 Aug
dust213–7-0.0918%9 Aug
cache13–9-0.0118%9 Aug
mirage13–10-0.0520%8 Aug
inferno16–130.0135%8 Aug
fachwerk13–9-0.0513%8 Aug
cache7–13-0.069%8 Aug
ancient13–20.0017%7 Aug
inferno6–13-0.0220%7 Aug
nuke13–50.0416%7 Aug
mirage9–13-0.0617%7 Aug
cache13–40.0021%7 Aug
mirage13–100.0315%7 Aug
cache4–13-0.0522%6 Aug
ancient8–13-0.0416%2 Aug
ancient11–13-0.0220%2 Aug
dust211–13-0.1019%2 Aug
anubis13–4-0.0217%1 Aug
ancient13–50.0933%1 Aug
mirage13–60.0114%1 Aug
dust213–20.0433%1 Aug
mirage9–130.0138%1 Aug
inferno8–13-0.0230%1 Aug
nuke13–110.0628%1 Aug
ancient5–130.0319%1 Aug
inferno4–13-0.0324%1 Aug
mirage7–13-0.0222%27 Jul
inferno13–110.0117%27 Jul
dust213–50.0123%27 Jul
anubis14–160.0229%26 Jul
ancient4–13-0.0639%26 Jul
cache11–13-0.0233%26 Jul
ancient13–7-0.029%26 Jul
cache4–13-0.0434%26 Jul
mirage7–130.0347%26 Jul
inferno16–12-0.0114%26 Jul
ancient4–13-0.1122%25 Jul
cache12–16-0.0429%25 Jul
mirage10–130.0023%24 Jul
inferno13–9-0.0417%24 Jul
anubis13–4-0.0227%24 Jul
anubis2–13-0.0731%23 Jul
ancient13–16-0.0223%23 Jul
cache13–50.0923%23 Jul
inferno13–20.1027%23 Jul
ancient2–00.09100%23 Jul
nuke7–13-0.0418%22 Jul
dust216–14-0.0021%22 Jul
mirage6–13-0.0410%19 Jul
anubis13–60.0526%19 Jul
inferno13–40.0824%19 Jul
inferno3–13-0.0419%19 Jul
mirage13–110.0326%19 Jul
mirage13–7-0.0119%19 Jul
nuke13–16-0.0322%19 Jul
ancient13–60.1232%18 Jul
anubis13–100.0119%18 Jul
nuke6–13-0.0319%18 Jul
cache13–90.0724%18 Jul
dust213–90.0418%18 Jul
ancient10–13-0.0312%18 Jul
nuke16–14-0.0112%18 Jul
cache13–8-0.0115%18 Jul
inferno13–40.0918%18 Jul
mirage6–13-0.0614%18 Jul
mirage13–30.1130%18 Jul
ancient13–100.0623%17 Jul
inferno8–130.0216%17 Jul
anubis13–11-0.0413%17 Jul
ancient13–10.0423%17 Jul
cache13–6-0.019%17 Jul
mirage9–13-0.155%17 Jul
anubis11–13-0.0318%15 Jul
inferno3–13-0.078%14 Jul
mirage13–7-0.0017%14 Jul
cache5–13-0.087%12 Jul
anubis5–13-0.069%12 Jul
mirage11–13-0.0019%12 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 →