Jiggs

Jiggs — CS2 Stats

PH76561198229405004[U:1:269139276]Steam profile ↗✓ No bans

640Tracked matches31%Win rate2023Tracked since
890Hours in CS26Hrs last 2 wks
CSDB Rating2.4 LearningPositional Player
Premier CS Rating5,747Light Blue band · top ~75.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 5,747 -3,585 14 Sept – 13 Nov · 26 days played
5,1499,999peak 9,99914 Sept13 Nov
9,999Peak Premier in tracked matches
27Days played since 2026-09-14

Premier CS Rating

  • 4,252 below peak (9,999)
  • -1,990 over 30 days · declining
  • Next: Blue band at 10,000 — 4,253 to go
  • Reached: Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate44.3%39.9%42.0%above
Shot accuracy0.1%7.0%9.6%9.5% short
Kill/death ratio0.610.920.980.37 short
Match win rate35.7%42.3%43.8%8.1% short

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

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

Share this profile

CSDB.GGJiggsPREMIER5,747 · Light Blue 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

Aim30
Positioning39
Utility22

0–100 skill scores via Leetify.

Recent form

STEADY34–63–3Last 10034%Win rateWLWLLLLLWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +2.6pp headshot accuracy · +97ms reaction

Win rate up 20pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 716ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 670ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 621ms

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 Player — Positioning stands above the rest of this profile (+2.4 against its own average).

Aim3.0
Utility2.2
Positioning3.9
Opening Duels0.1
Clutch0.0

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.

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

Twistzz

Plays most like Twistzz 78% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 626ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.0
Positioning3.9
Utility2.2
Mechanics3.2
Opening Duels1.4
Win Impact0.0

Composite 2.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05+0.00
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time633ms−8ms
first ⅓ avg 641ms → last ⅓ avg 633ms
Headshot accuracy12.6%−4.0%
first ⅓ avg 16.7% → last ⅓ avg 12.6%

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

0.30Best match rating · 9–0 · inferno, 13 Oct →
38%Best headshot accuracy · 13–8 · cache, 2 Oct →
375msFastest reaction time · 5–13 · dust2, 3 Oct →
9–0Biggest win · inferno, 13 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–11In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 58% over 12mirageWeakest map · 0% over 12
MapGradePlayedRecordWin rateAvg rating
anubisC188–1044%-0.04
dust2D186–1233%-0.04
cacheA169–756%-0.03
infernoD132–1115%-0.02
ancientA127–558%-0.03
mirageD120–120%-0.05
nukeD112–918%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,003Lifetime kills
0.61K/D
899Matches
35.7%Match win rate
44.3%Headshot % · Top 50% of Light Blue band
0.1%Shot accuracy
896MVPs
387Hours (in match)
1,239Bombs planted
146Bombs defused

Most-used weapons

Lifetime map wins

1,478dust2
1,119nuke
414inferno
64vertigo
57train
53office
17italy
2dust

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

Faceit stats

Combat

1Matches
100%Win rate
1.15Avg K/D
54.0ADR
33%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLW

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.

13.3%Headshot accuracy
30.3%Accuracy (enemy spotted)
33.4%Spray accuracy
64.3%Counter-strafing
12.4°Preaim
626msReaction time
34.9%T opening success
36.3%CT opening success
0.17Enemies flashed / flash
4.3%Flash assists
7.93HE damage / grenade
1.09Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.4143° — above the 12° mark we flag

    Aim Training →
  2. 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 13.2641% — below the 15% mark we flag

    Aim Training →
  3. 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 0.1668 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

0% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–10-0.0420%13 Nov →
inferno14–16-0.0123%13 Nov →
cache13–8-0.018%13 Nov →
anubis11–13-0.0216%12 Nov →
ancient11–13-0.079%12 Nov →
mirage4–13-0.130%12 Nov →
mirage5–13-0.0213%12 Nov →
inferno8–13-0.0222%12 Nov →
anubis13–11-0.0313%12 Nov →
ancient13–7-0.0316%10 Nov →
mirage8–13-0.098%10 Nov →
mirage10–13-0.0610%10 Nov →
ancient13–6-0.076%10 Nov →
nuke8–13-0.0611%6 Nov →
dust211–13-0.0121%6 Nov →
ancient6–13-0.049%5 Nov →
cache7–13-0.1011%5 Nov →
mirage10–13-0.0121%5 Nov →
anubis13–11-0.038%5 Nov →
anubis8–13-0.059%3 Nov →
inferno8–13-0.0213%3 Nov →
anubis2–13-0.060%3 Nov →
cache6–13-0.0218%2 Nov →
cache13–50.0313%2 Nov →
anubis13–11-0.0519%2 Nov →
inferno8–13-0.047%2 Nov →
dust29–13-0.0915%2 Nov →
mirage11–13-0.0321%2 Nov →
cache15–15-0.068%24 Oct →
anubis13–6-0.0919%24 Oct →
mirage3–13-0.106%24 Oct →
nuke7–13-0.0814%24 Oct →
inferno6–13-0.0410%24 Oct →
ancient8–13-0.0313%23 Oct →
anubis5–13-0.0814%23 Oct →
dust210–13-0.0129%23 Oct →
ancient13–100.0212%23 Oct →
cache8–13-0.0416%23 Oct →
nuke13–8-0.0618%18 Oct →
anubis16–14-0.0013%18 Oct →
dust213–9-0.0112%18 Oct →
cache13–7-0.028%17 Oct →
cache13–70.0112%17 Oct →
anubis7–13-0.077%17 Oct →
nuke12–16-0.027%17 Oct →
anubis12–16-0.069%16 Oct →
cache8–13-0.0218%16 Oct →
nuke16–14-0.0128%16 Oct →
inferno9–00.3016%13 Oct →
inferno10–13-0.0822%11 Oct →
cache13–80.0415%11 Oct →
dust213–9-0.0216%11 Oct →
dust29–13-0.0712%10 Oct →
dust213–50.0211%10 Oct →
dust213–11-0.0413%10 Oct →
dust213–40.0318%10 Oct →
dust211–130.0020%10 Oct →
anubis16–130.0115%9 Oct →
cache13–11-0.0219%9 Oct →
ancient6–130.0215%9 Oct →
anubis10–13-0.0410%9 Oct →
mirage4–13-0.0415%4 Oct →
inferno6–13-0.0421%4 Oct →
mirage9–13-0.0617%4 Oct →
dust210–13-0.0820%4 Oct →
dust25–13-0.098%3 Oct →
dust211–13-0.067%3 Oct →
cache6–13-0.0720%3 Oct →
anubis11–13-0.0012%3 Oct →
inferno6–13-0.0426%3 Oct →
nuke10–13-0.0520%3 Oct →
cache13–8-0.0138%2 Oct →
anubis15–150.0015%2 Oct →
mirage9–13-0.0417%2 Oct →
anubis3–13-0.1113%2 Oct →
dust22–13-0.0319%2 Oct →
ancient13–90.0021%29 Sept →
ancient13–6-0.0317%29 Sept →
cache14–16-0.079%29 Sept →
dust29–13-0.0433%28 Sept →
cache13–6-0.0514%28 Sept →
ancient6–13-0.048%28 Sept →
mirage2–13-0.0526%28 Sept →
ancient13–11-0.0116%26 Sept →
nuke4–13-0.1013%26 Sept →
mirage8–13-0.0324%25 Sept →
nuke6–13-0.0710%25 Sept →
nuke6–13-0.078%25 Sept →
inferno11–13-0.0614%25 Sept →
inferno15–15-0.0711%23 Sept →
inferno16–13-0.0520%23 Sept →
anubis13–7-0.0315%23 Sept →
nuke5–13-0.0917%18 Sept →
anubis13–11-0.0122%18 Sept →
nuke3–13-0.074%18 Sept →
dust211–13-0.0020%18 Sept →
ancient13–10-0.0616%15 Sept →
dust23–13-0.1219%15 Sept →
dust213–6-0.027%14 Sept →
inferno4–13-0.117%14 Sept →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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