Squigga

Squigga — CS2 Stats

CA76561198366001994[U:1:405736266]Steam profile ↗✓ No bans

4,320Tracked matches60%Win rate2020Tracked since
2,005Hours in CS
CSDB Rating7.3 StrongSupport
Premier CS Rating25,911Top 10% of 205,052 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)
CSDB Leaderboard#13345 of 252241 tracked
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

+91Premier CS Rating · 25,820 → 25,911

Rating over time

Premier CS Rating: 25,911 +912 25 Aug – 16 Oct · 34 days played
23,34627,445peak 27,44525 Aug16 Oct
27,445Peak Premier in tracked matches
34Days played since 2026-08-25

Premier CS Rating

  • 1,534 below peak (27,445)
  • +402 over 30 days · improving
  • Next: Gold band at 30,000 — 4,089 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-03
  • Pink band first seen 2026-09-03

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 Red band among CSDB-tracked players (n=13,318), 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 playerRed band medianGold band medianvs Gold band
Headshot rate51.7%49.3%50.9%meets
Shot accuracy7.7%13.4%11.8%4.1% short
Kill/death ratio0.901.121.180.28 short
Match win rate50.8%48.5%51.9%1.1% short

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

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

Share this profile

CSDB.GGSquiggaPREMIER25,911 · Red bandcsdb.gg/stats

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Performance scores

Aim80
Positioning59
Utility64

0–100 skill scores via Leetify.

Recent form

COLD54–42–4Last 10054%Win rateWWLLLWLLLL

Last 10 vs previous 10: −50pp win rate · −0.02 avg rating · −1.8pp headshot accuracy · −48ms reaction

Win rate down 50pp 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 -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 559ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 519ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 543ms

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: Support — Utility contribution stands above the rest of this profile (+0.9 against its own average).

Aim8.0
Utility6.4
Positioning5.9
Opening Duels4.1

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

ZywOo

Plays most like ZywOo 91% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

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

Aim8.0
Positioning5.9
Utility6.4
Mechanics7.7
Opening Duels4.6
Win Impact8.3

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 time528ms−38ms
first ⅓ avg 566ms → last ⅓ avg 528ms
Headshot accuracy16.2%−1.0%
first ⅓ avg 17.2% → last ⅓ avg 16.2%

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

0.19Best match rating · 9–0 · vertigo, 19 Sept →
32%Best headshot accuracy · 13–9 · nuke, 11 Sept →
336msFastest reaction time · 11–13 · cache, 10 Oct →
13–2Biggest win · nuke, 10 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
8–10In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 71% over 17infernoWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
mirageC229–1341%-0.02
nukeS1712–571%-0.00
cacheA159–660%-0.02
anubisA148–657%-0.01
infernoD134–931%-0.04
dust2A95–456%-0.02
ancient—44–0100%0.04
vertigo—21–150%0.04
debris—21–150%0.01
rush_001—10–10%-0.12
poseidon—11–0100%-0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

78,562Lifetime kills
0.90K/D
5,569Matches
50.8%Match win rate · Top 50% of Red band
51.7%Headshot % · Top 50% of Red band
7.7%Shot accuracy
12,458MVPs
2,005Hours (in match)
4,883Bombs planted
1,275Bombs defused

Most-used weapons

AK-4727,833
AWP5,505
MP93,111
P2501,215
SSG 081,115

Lifetime map wins

5,040inferno
4,422nuke
4,124dust2
3,876vertigo
1,853train
539office
309cbble
181lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.3%Headshot accuracy
35.6%Accuracy (enemy spotted)
38.9%Spray accuracy
84.5%Counter-strafing
9.1°Preaim
529msReaction time
55.4%T opening success
41.7%CT opening success
0.76Enemies flashed / flash
4.3%Flash assists
8.01HE damage / grenade
12.22Flashes / match

Recommended for you

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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–7-0.0116%16 Oct →
mirage13–60.0426%16 Oct →
nuke9–13-0.0520%16 Oct →
dust27–13-0.0212%13 Oct →
anubis11–130.019%12 Oct →
nuke13–20.078%10 Oct →
mirage7–13-0.0823%10 Oct →
cache11–13-0.027%10 Oct →
mirage10–13-0.049%9 Oct →
mirage6–13-0.0311%4 Oct →
anubis4–13-0.1026%4 Oct →
cache13–60.0117%3 Oct →
mirage13–50.028%3 Oct →
cache12–16-0.0212%3 Oct →
nuke13–10-0.0326%3 Oct →
dust213–60.0514%3 Oct →
cache13–8-0.058%2 Oct →
anubis13–30.0710%2 Oct →
ancient9–10.0913%2 Oct →
mirage13–10-0.0124%1 Oct →
cache16–14-0.0416%30 Sept →
rush_0014–8-0.1227%30 Sept →
inferno8–13-0.0426%26 Sept →
vertigo2–9-0.1015%24 Sept →
nuke13–2-0.0723%24 Sept →
nuke13–100.0123%20 Sept →
cache1–13-0.050%20 Sept →
anubis13–9-0.0216%20 Sept →
inferno13–40.0026%19 Sept →
nuke13–11-0.0028%19 Sept →
dust216–12-0.0120%19 Sept →
mirage9–13-0.086%19 Sept →
poseidon9–7-0.1010%19 Sept →
vertigo9–00.198%19 Sept →
debris2–9-0.0526%19 Sept →
inferno10–13-0.0713%17 Sept →
ancient13–80.0616%17 Sept →
mirage13–50.0820%17 Sept →
mirage4–13-0.0817%16 Sept →
cache1–13-0.0210%16 Sept →
nuke13–6-0.077%16 Sept →
debris9–60.0814%16 Sept →
inferno0–9-0.2617%16 Sept →
nuke9–20.0429%15 Sept →
inferno15–15-0.0225%13 Sept →
mirage13–90.0125%13 Sept →
cache8–13-0.0317%13 Sept →
dust211–130.0019%12 Sept →
mirage13–4-0.0314%12 Sept →
cache13–70.0514%12 Sept →
inferno16–130.0115%12 Sept →
cache13–8-0.0310%11 Sept →
ancient13–30.0215%11 Sept →
anubis13–70.0315%11 Sept →
inferno11–13-0.0010%11 Sept →
mirage13–50.0119%11 Sept →
nuke13–90.0117%11 Sept →
nuke13–90.0132%11 Sept →
cache13–50.0411%11 Sept →
mirage4–13-0.067%11 Sept →
anubis10–13-0.0212%9 Sept →
nuke8–13-0.0820%9 Sept →
mirage4–13-0.0911%7 Sept →
inferno15–15-0.0316%7 Sept →
cache6–13-0.0817%7 Sept →
nuke8–130.0426%7 Sept →
mirage14–160.0025%7 Sept →
dust213–6-0.079%6 Sept →
mirage13–11-0.0112%5 Sept →
anubis13–50.1320%5 Sept →
nuke13–110.0523%5 Sept →
inferno16–14-0.0420%5 Sept →
anubis9–13-0.0319%5 Sept →
mirage13–50.0210%5 Sept →
inferno9–13-0.0113%5 Sept →
dust215–15-0.0711%4 Sept →
nuke8–13-0.0521%4 Sept →
anubis10–13-0.0318%3 Sept →
mirage11–13-0.0321%3 Sept →
dust213–110.0317%3 Sept →
cache13–5-0.0411%3 Sept →
anubis4–13-0.0618%1 Sept →
dust213–9-0.0018%1 Sept →
mirage11–13-0.0922%31 Aug →
nuke13–40.0220%31 Aug →
dust214–16-0.0625%30 Aug →
nuke13–60.0723%30 Aug →
mirage8–130.0114%30 Aug →
cache13–90.0121%29 Aug →
nuke11–13-0.0210%28 Aug →
anubis13–5-0.028%28 Aug →
mirage9–13-0.0122%28 Aug →
cache13–8-0.0118%28 Aug →
anubis13–11-0.0413%28 Aug →
inferno14–160.0022%27 Aug →
mirage10–13-0.0220%27 Aug →
inferno8–8-0.0817%27 Aug →
ancient13–100.0118%26 Aug →
anubis13–80.0113%25 Aug →
inferno13–3-0.0424%25 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 →

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