BLIG ZIGGY

BLIG ZIGGY — CS2 Stats

AM76561197978550850[U:1:18285122]Steam profile ↗✓ No bans

2,113Tracked matches40%Win rate2020Tracked since
CSDB Rating4.2 DevelopingSupport
Premier CS Rating19,605Top 50% of 180,525 CSDB-tracked playersPurple band · top ~10.1% of ranked players (population est.)
CSDB Leaderboard#80402 of 224959 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,113 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 38 days played since 17 May 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 19,605 +3,362 19 May13 Sept · 31 days played
16,18221,163peak 21,16319 May13 Sept
21,275Peak Premier in tracked matches
38Days played since 2026-05-17

Premier CS Rating

  • 1,558 below peak (21,163)
  • -992 over 30 days · declining
  • +3,423 over 90 days
  • Next: Pink band at 20,000 395 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-30
  • Purple band first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGBLIG ZIGGYPREMIER19,605 · Purple bandcsdb.gg/stats

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Performance scores

Aim44
Positioning38
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY43552Last 10043%Win rateLWLLWWLLWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −0.3pp headshot accuracy · +15ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 12%
  • Avg reaction 648ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 10%
  • Avg reaction 657ms

Last 20

  • 812 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 11%
  • Avg reaction 650ms

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: SupportUtility contribution stands above the rest of this profile (+3.5 against its own average).

Aim4.4
Utility6.6
Positioning3.8
Opening Duels1.1
Clutch1.0

Effective flashes

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 67% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Strengths

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 37% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 651ms 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

Aim4.4
Positioning3.8
Utility6.6
Mechanics6.0
Opening Duels0.9
Win Impact1.7

Composite 4.2/10 (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-0.04−0.05
first ⅓ avg 0.01 → last ⅓ avg -0.04
Reaction time649ms+40ms
first ⅓ avg 609ms → last ⅓ avg 649ms
Headshot accuracy13.0%−5.6%
first ⅓ avg 18.6% → last ⅓ avg 13.0%

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.

Personal bests

0.14Best match rating · 13–9 · dust2, 24 May
39%Best headshot accuracy · 3–13 · ancient, 4 Jul
406msFastest reaction time · 8–13 · ancient, 19 May
13–3Biggest win · anubis, 28 Jun

Across the last 100 tracked matches.

Highlights

4Longest win streak
511In matches decided by ≤2 rounds
16Overtime games

Map breakdown

dust2Best map · 57% over 30cacheWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
mirageC30121840%-0.04
dust2A30171357%-0.01
cacheD124833%-0.03
infernoD124833%-0.03
ancientC114736%-0.01
anubis31233%0.04
nuke21150%-0.07

Across the last 100 tracked matches.

Faceit stats

Combat

310Matches
47%Win rate
0.69Avg K/D
63.6ADR
35%Headshot %

Clutches & streaks

25%1v1 clutch win
14%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage8741%0.5910.7
Dust24349%0.7912.6
Anubis4161%0.7311.8
Inferno4156%0.6810.2
Vertigo3145%0.6810.7
Ancient1844%0.6913.1
Nuke1040%0.6310.7
Train30%0.6312.3

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.

11.9%Headshot accuracy
29.5%Accuracy (enemy spotted)
34.2%Spray accuracy
77.0%Counter-strafing
9.4°Preaim
651msReaction time
21.4%T opening success
37.5%CT opening success
0.77Enemies flashed / flash
4.2%Flash assists
11.36HE damage / grenade
14.30Flashes / 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 11.8973% — below the 15% mark we flag

    Aim Training
  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 21.4053% — below the 40% mark we flag

Spend your practice time on Cache

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
cache11–13-0.0615%7 Sept
mirage13–8-0.0711%7 Sept
dust24–13-0.080%6 Sept
mirage2–13-0.0414%10 Aug
dust213–6-0.0419%28 Jul
nuke16–13-0.096%28 Jul
cache7–13-0.083%28 Jul
inferno6–13-0.0812%28 Jul
mirage16–14-0.0412%27 Jul
dust213–8-0.0113%27 Jul
dust211–13-0.046%27 Jul
inferno8–13-0.0412%26 Jul
ancient14–16-0.077%26 Jul
cache13–11-0.098%26 Jul
inferno16–13-0.036%26 Jul
ancient14–16-0.1011%26 Jul
mirage14–16-0.0414%25 Jul
mirage13–9-0.0522%24 Jul
dust28–13-0.0114%24 Jul
dust26–13-0.089%24 Jul
cache12–16-0.0414%21 Jul
inferno13–50.0311%21 Jul
mirage13–90.0114%21 Jul
dust213–9-0.0512%20 Jul
mirage2–13-0.0917%20 Jul
inferno9–13-0.0312%20 Jul
ancient8–13-0.0219%19 Jul
mirage6–13-0.0318%19 Jul
mirage13–4-0.0217%19 Jul
mirage8–13-0.0317%16 Jul
cache13–16-0.0422%16 Jul
mirage7–20.0222%16 Jul
dust213–7-0.0520%16 Jul
cache2–13-0.0632%16 Jul
inferno6–13-0.0717%15 Jul
dust213–90.0220%15 Jul
mirage10–13-0.0820%15 Jul
dust213–4-0.057%14 Jul
cache9–13-0.0117%14 Jul
mirage15–15-0.0710%14 Jul
inferno13–10-0.0412%12 Jul
dust213–10-0.037%12 Jul
dust27–13-0.0113%11 Jul
inferno8–13-0.0433%11 Jul
cache13–40.019%11 Jul
dust213–4-0.009%11 Jul
mirage13–11-0.0416%9 Jul
inferno5–13-0.0112%9 Jul
cache13–7-0.0615%9 Jul
mirage11–13-0.0319%9 Jul
mirage6–13-0.0520%7 Jul
mirage8–13-0.0520%6 Jul
ancient13–7-0.0117%6 Jul
dust213–80.0920%5 Jul
ancient16–13-0.057%5 Jul
dust210–13-0.0413%4 Jul
dust23–13-0.0625%4 Jul
ancient3–130.0539%4 Jul
dust213–70.1127%4 Jul
mirage3–13-0.0915%4 Jul
mirage3–13-0.130%3 Jul
mirage16–13-0.0414%3 Jul
mirage5–13-0.0411%2 Jul
dust23–13-0.0932%2 Jul
dust213–9-0.0516%29 Jun
dust210–13-0.0215%29 Jun
ancient13–10-0.0415%29 Jun
inferno13–110.0513%29 Jun
mirage13–16-0.0218%28 Jun
dust216–12-0.0416%28 Jun
anubis2–13-0.0513%28 Jun
anubis13–30.0923%28 Jun
dust211–13-0.0210%28 Jun
cache11–13-0.0222%27 Jun
mirage14–16-0.0622%24 Jun
mirage13–4-0.057%24 Jun
dust24–13-0.0113%24 Jun
dust213–7-0.0119%24 Jun
mirage13–7-0.0314%22 Jun
ancient15–15-0.0519%22 Jun
nuke7–9-0.0623%13 Jun
mirage11–13-0.0123%12 Jun
inferno8–13-0.0615%12 Jun
inferno3–130.0321%11 Jun
mirage13–50.0018%11 Jun
dust213–30.0526%6 Jun
ancient4–13-0.0214%27 May
mirage8–130.0023%27 May
cache5–130.0317%25 May
mirage13–7-0.0419%25 May
mirage5–13-0.0716%25 May
dust28–13-0.0321%25 May
dust212–160.1221%24 May
ancient13–70.1022%24 May
dust213–110.1125%24 May
dust213–90.1424%24 May
dust213–10-0.0118%23 May
anubis9–130.0710%19 May
ancient8–130.0925%19 May
cache13–50.0024%17 May

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 →