Jigbat

Jigbat — CS2 Stats

76561199095271815[U:1:1135006087]Steam profile ↗✓ No bans

1,342Tracked matches45%Win rate2022Tracked since
997Hours in CS4Hrs last 2 wks
CSDB Rating3.4 Learning
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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 4 medianLevel 5 medianvs Level 5
Headshot rate37.8%42.5%44.2%6.4% short
Shot accuracy6.4%10.9%11.2%4.8% short
Kill/death ratio0.790.991.040.25 short
Match win rate42.7%44.2%45.3%2.6% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJigbatFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim36
Positioning32
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY44524Last 10044%Win rateLLLWWWWWLL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

Aim3.6
Aggression2.6
Utility4.1
Positioning3.2
Opening Duels0.0
Clutch4.0

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 70% playstyle similarity

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

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

Reaction time. 616ms 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

Aim3.6
Positioning3.2
Utility4.1
Mechanics4.6
Opening Duels0.0
Win Impact3.3

Composite 3.4/10 (Learning), 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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time619ms−34ms
first ⅓ avg 653ms → last ⅓ avg 619ms
Headshot accuracy12.7%+2.1%
first ⅓ avg 10.7% → last ⅓ avg 12.7%

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

0.10Best rating — train 7–2
132Biggest win — mirage
5Longest win streak
L3Current streak
88In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 67% over 6ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageD35102529%-0.03
dust2A2011955%-0.02
nukeB105550%-0.00
anubisA74357%0.02
ancientD61517%-0.04
infernoS64267%-0.01
overpassD62433%-0.03
cache31233%-0.04
vertigo32167%-0.02
train330100%0.06
office110100%0.06

Across the last 100 tracked matches.

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

Lifetime stats

17,139Lifetime kills
0.79K/D
1,505Matches
42.7%Match win rate
37.8%Headshot %
6.4%Shot accuracy
1,971MVPs
521Hours (in match)
1,413Bombs planted
361Bombs defused

Most-used weapons

Lifetime map wins

2,489dust2
971vertigo
762inferno
712nuke
261train
112office
23italy
15safehouse

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

Faceit stats

Combat

9Matches
44%Win rate
0.70Avg K/D
51.3ADR
25%Headshot %

Clutches & streaks

40%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis2100%0.9810.5
Dust220%0.428.0
Ancient10%0.477.0
Nuke1100%0.406.0
Inferno10%0.7512.0

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.

13.1%Headshot accuracy
27.2%Accuracy (enemy spotted)
29.9%Spray accuracy
70.7%Counter-strafing
9.8°Preaim
616msReaction time
27.0%T opening success
24.3%CT opening success
0.53Enemies flashed / flash
8.6%Flash assists
6.25HE damage / grenade
2.83Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.0753% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.8288 — below the 4 mark we flag

    Grenade Lineups
  3. 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 27.0132% — below the 40% mark we flag

Spend your practice time on Ancient

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient11–13-0.0411%26 Aug
inferno13–160.0211%25 Aug
dust210–130.036%21 Aug
inferno7–2-0.0420%21 Aug
nuke13–70.0811%18 Aug
inferno13–11-0.0017%12 Aug
dust213–8-0.0615%12 Aug
nuke13–10-0.042%11 Aug
mirage11–13-0.0516%8 Aug
cache4–13-0.0419%8 Aug
mirage13–110.0111%1 Aug
mirage11–13-0.0318%31 Jul
dust213–9-0.0519%31 Jul
mirage6–13-0.046%31 Jul
mirage4–13-0.0613%24 Jul
nuke13–50.0728%17 Jul
anubis13–110.0420%13 Jul
mirage11–13-0.038%12 Jul
inferno6–13-0.0413%2 Jul
mirage15–15-0.0813%26 Jun
dust27–13-0.028%24 Jun
nuke6–13-0.0113%20 Jun
dust27–13-0.026%20 Jun
mirage8–13-0.0417%20 Jun
dust213–4-0.0519%20 Jun
mirage13–6-0.0311%18 Jun
overpass13–40.0213%18 Jun
mirage1–13-0.058%14 Jun
mirage11–130.0118%27 May
dust213–60.007%26 May
mirage13–30.0213%26 May
overpass3–13-0.017%23 May
mirage13–10-0.043%19 May
dust213–6-0.0021%19 May
cache13–7-0.0216%18 May
mirage11–13-0.067%16 May
mirage13–5-0.053%16 May
dust213–110.0211%16 May
ancient6–13-0.067%16 May
cache8–13-0.058%30 Apr
mirage13–9-0.0122%28 Apr
mirage9–13-0.0117%15 Apr
mirage6–13-0.0819%11 Apr
dust22–13-0.1125%11 Apr
dust23–130.036%11 Apr
dust213–10-0.0212%8 Apr
overpass9–13-0.077%4 Apr
overpass13–7-0.058%3 Apr
anubis9–130.0028%28 Mar
ancient2–13-0.055%22 Mar
mirage10–13-0.058%21 Mar
inferno13–11-0.0221%19 Mar
mirage8–130.006%19 Mar
vertigo13–90.0114%15 Mar
dust210–13-0.0315%13 Mar
mirage2–13-0.0410%13 Mar
mirage13–40.015%11 Mar
dust213–60.0213%11 Mar
nuke13–8-0.0016%11 Mar
mirage13–11-0.0222%8 Mar
dust213–6-0.0312%8 Mar
anubis12–16-0.046%16 Feb
mirage1–13-0.0813%15 Feb
ancient5–13-0.0311%11 Feb
mirage5–13-0.0610%10 Feb
mirage5–13-0.0613%10 Feb
nuke8–130.0217%9 Feb
mirage11–13-0.057%9 Feb
anubis7–00.0923%9 Feb
dust213–40.0015%9 Feb
nuke13–60.0114%8 Feb
anubis3–13-0.035%25 Jan
mirage13–4-0.087%23 Jan
overpass9–13-0.0521%23 Jan
anubis13–90.0516%23 Jan
mirage12–120.018%21 Jan
mirage4–130.0013%20 Jan
mirage7–13-0.039%19 Jan
mirage11–13-0.0311%19 Jan
ancient13–5-0.0112%17 Jan
inferno13–60.0117%10 Jan
train13–40.055%10 Jan
mirage12–16-0.0211%4 Jan
nuke2–13-0.0616%4 Jan
dust24–13-0.073%17 Dec
dust215–15-0.075%6 Dec
mirage13–2-0.0012%6 Dec
ancient8–13-0.057%14 Nov
anubis13–50.023%13 Nov
nuke7–13-0.067%13 Nov
mirage12–12-0.063%26 Oct
train7–20.107%12 Sept
train13–70.028%8 Sept
vertigo13–11-0.019%8 Sept
nuke9–13-0.0215%3 Sept
office13–30.065%2 Sept
overpass9–13-0.0310%1 Sept
vertigo8–13-0.0620%25 Aug
dust213–11-0.0610%25 Aug
dust24–130.0319%24 Aug

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 →