Squid♂Lider

Squid♂Lider — CS2 Stats

FI76561198018539661[U:1:58273933]Steam profile ↗✓ No bans

507Tracked matches50%Win rate2022Tracked since
4,127Hours in CS3Hrs last 2 wks
CSDB Rating6.0 SolidPositional Player
WingmanMaster Guardian II
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 18,884 -849 23 Aug – 9 Oct · 14 days played
17,48819,999peak 19,99923 Aug9 Oct
19,999Peak Premier in tracked matches
35Days played since 2025-08-20

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

Performance scores

Aim74
Positioning59
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY51–48–1Last 10051%Win rateLWWWLWLLWW

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · −3.6pp headshot accuracy · −61ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 17%
  • Avg reaction 544ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 17%
  • Avg reaction 574ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 19%
  • Avg reaction 605ms

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 (+1.4 against its own average).

Aim7.4
Utility4.7
Positioning5.9
Opening Duels4.2
Clutch3.4

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

m0NESY

Plays most like m0NESY 96% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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. 611ms 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

Aim7.4
Positioning5.9
Utility4.7
Mechanics6.9
Opening Duels3.7
Win Impact5.0

Composite 6.0/10 (Solid), 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 rating0.02+0.03
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time616ms−47ms
first ⅓ avg 663ms → last ⅓ avg 616ms
Headshot accuracy19.6%+2.1%
first ⅓ avg 17.5% → last ⅓ avg 19.6%

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

0.18Best match rating · 13–7 · mirage, 16 Sept →
33%Best headshot accuracy · 0–13 · mirage, 3 Oct →
422msFastest reaction time · 10–13 · cache, 30 Jun →
13–1Biggest win · ancient, 20 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
14–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 63% over 16trainWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA3320–1361%0.02
ancientC228–1436%0.01
infernoA1610–663%0.01
nukeB105–550%-0.01
trainD62–433%-0.03
dust2C52–340%0.00
overpass—42–250%-0.01
anubis—21–150%0.07
cache—21–150%-0.00

Across the last 100 tracked matches.

Lifetime stats

98,926Lifetime kills
1.34K/D · Top 10% of tracked players
3,355Matches
40.9%Match win rate
52.3%Headshot % · Top 25% of tracked players
14.6%Shot accuracy · Top 50% of tracked players
6,631MVPs
1,459Hours (in match)
2,768Bombs planted
816Bombs defused

Most-used weapons

AK-4738,272
AWP14,793
P2502,430
P902,389
Tec-91,937

Lifetime map wins

6,882dust2
5,806inferno
1,478train
1,277cbble
1,100nuke
47aztec
31lake
30safehouse

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

Faceit stats

Combat

164Matches
54%Win rate
1.21Avg K/D
90.4ADR
45%Headshot %

Clutches & streaks

37%1v1 clutch win
25%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3664%1.3518.1
Ancient2759%1.2517.4
Inferno2638%1.1416.0
Dust21338%1.2718.1
Nuke875%1.0917.9
Overpass540%1.2216.8
Anubis450%1.2816.8
Train333%1.6125.0

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.

18.7%Headshot accuracy
36.3%Accuracy (enemy spotted)
40.0%Spray accuracy
81.0%Counter-strafing
9.6°Preaim
611msReaction time
38.9%T opening success
50.7%CT opening success
0.49Enemies flashed / flash
5.9%Flash assists
10.17HE damage / grenade
8.77Flashes / 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 0.4948 — 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 38.8626% — below the 40% mark we flag

Spend your practice time on Train

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 6 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis8–130.0720%22 Oct →
inferno13–70.0517%12 Oct →
dust213–40.0810%12 Oct →
inferno13–6-0.0219%12 Oct →
ancient10–130.0319%16 Sept →
mirage13–70.1821%16 Sept →
inferno7–130.0416%10 Sept →
mirage11–130.1013%10 Sept →
ancient13–100.1025%10 Sept →
anubis13–80.0714%3 Sept →
cache13–110.0918%3 Sept →
cache10–13-0.0926%30 Jun →
mirage16–120.0616%11 Mar →
ancient4–13-0.0121%26 Feb →
dust213–110.0926%18 Feb →
ancient8–130.0322%18 Feb →
mirage13–110.1225%9 Feb →
ancient11–130.0213%28 Jan →
ancient9–13-0.0016%4 Nov →
mirage16–12-0.0327%9 Oct →
ancient11–13-0.0323%9 Oct →
mirage3–13-0.0321%9 Oct →
mirage17–190.0414%8 Oct →
ancient10–13-0.0216%8 Oct →
inferno13–8-0.0123%8 Oct →
ancient13–10-0.0112%7 Oct →
ancient13–16-0.0216%4 Oct →
nuke13–50.0115%4 Oct →
inferno8–130.0118%4 Oct →
mirage13–40.0320%3 Oct →
ancient13–10-0.0523%3 Oct →
mirage13–70.0030%3 Oct →
mirage0–13-0.1233%3 Oct →
inferno16–140.0518%3 Oct →
train13–11-0.0214%3 Oct →
ancient13–80.0414%30 Sept →
ancient13–60.1217%29 Sept →
mirage8–13-0.0423%29 Sept →
mirage9–130.049%25 Sept →
ancient12–120.0421%25 Sept →
mirage13–110.0219%23 Sept →
mirage9–13-0.0420%23 Sept →
mirage13–110.0418%23 Sept →
mirage5–13-0.0322%23 Sept →
ancient13–110.0322%17 Sept →
mirage13–11-0.0110%17 Sept →
inferno13–10-0.0112%8 Sept →
mirage13–60.0725%8 Sept →
mirage5–130.0012%8 Sept →
ancient19–220.0112%8 Sept →
nuke13–90.0414%6 Sept →
ancient13–20.0420%6 Sept →
mirage5–13-0.0116%6 Sept →
mirage16–13-0.0119%6 Sept →
mirage13–90.0614%6 Sept →
mirage13–20.0712%6 Sept →
inferno9–130.0219%6 Sept →
train8–13-0.0415%6 Sept →
ancient9–13-0.0015%6 Sept →
inferno7–13-0.0315%6 Sept →
inferno13–5-0.0515%6 Sept →
nuke16–14-0.0215%6 Sept →
nuke11–13-0.078%5 Sept →
overpass6–13-0.0523%5 Sept →
inferno13–90.0715%5 Sept →
ancient11–130.0212%5 Sept →
nuke8–13-0.0326%5 Sept →
train4–13-0.1129%4 Sept →
mirage14–160.0019%4 Sept →
inferno13–60.0926%3 Sept →
mirage13–90.1419%3 Sept →
mirage14–16-0.0120%3 Sept →
mirage5–13-0.0413%3 Sept →
mirage13–100.0418%1 Sept →
ancient5–13-0.0316%1 Sept →
overpass13–4-0.0030%28 Aug →
inferno13–100.0018%28 Aug →
train11–13-0.0215%28 Aug →
mirage13–110.0112%28 Aug →
train10–13-0.0416%26 Aug →
nuke4–13-0.0728%26 Aug →
dust28–13-0.058%25 Aug →
mirage13–110.0125%25 Aug →
inferno13–160.045%25 Aug →
dust26–13-0.0529%23 Aug →
ancient5–13-0.0016%23 Aug →
overpass13–50.0411%23 Aug →
nuke13–100.0218%23 Aug →
inferno8–13-0.0516%23 Aug →
overpass10–13-0.047%22 Aug →
dust22–8-0.0622%22 Aug →
mirage16–130.0114%21 Aug →
nuke4–13-0.0213%21 Aug →
train16–140.0719%21 Aug →
inferno13–9-0.025%21 Aug →
nuke10–130.0326%21 Aug →
mirage13–11-0.0612%20 Aug →
nuke13–9-0.0215%20 Aug →
ancient13–10.0331%20 Aug →
mirage13–20.027%20 Aug →

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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