Squidees — CS2 Stats

US76561198084708878[U:1:124443150]Steam profile ↗✓ No bans

2,015Tracked matches46%Win rate2020Tracked since

5,059Hours in CS18Hrs last 2 wks

CSDB Rating5.3 DevelopingHybrid Rifler

WingmanLegendary Eagle

Ladder ranks via Leetify

Performance scores

Aim77

Positioning50

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY48–47–5Last 10048%Win rateWLLLWWWLWW

Last 10 vs previous 10: +20pp win rate · -0.00 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.7

Aggression4.6

Utility5.2

Positioning5.0

Opening Duels1.1

Clutch4.6

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

Plays most like NiKo 90% playstyle similarity

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

Where you differ: 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. 577ms 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

Aim7.7

Positioning5.0

Utility5.2

Mechanics6.7

Opening Duels1.4

Win Impact3.8

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.03

first ⅓ avg 0.03 → last ⅓ avg 0.00

Reaction time578ms+7ms

first ⅓ avg 571ms → last ⅓ avg 578ms

Headshot accuracy18.0%−0.7%

first ⅓ avg 18.7% → last ⅓ avg 18.0%

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.

Highlights

0.19Best rating — inferno 6–0

13–0Biggest win — nuke

7Longest win streak

8–11In matches decided by ≤2 rounds

10Overtime games

Map breakdown

overpassBest map · 67% over 6cacheWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	23	11–12	48%	0.02
nuke	A	18	11–7	61%	0.02
dust2	B	15	7–8	47%	0.00
cache	D	14	4–10	29%	0.01
ancient	A	7	4–3	57%	0.02
anubis	D	7	2–5	29%	0.02
mirage	C	7	3–4	43%	0.03
overpass	S	6	4–2	67%	0.05
office	—	1	0–1	0%	0.01
alpine	—	1	1–0	100%	0.12
warden	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Lifetime stats

140,195Lifetime kills

1.15K/D · Top 50% of tracked players

5,430Matches

42.2%Match win rate

37.9%Headshot %

15.8%Shot accuracy · Top 25% of tracked players

12,400MVPs

2,766Hours (in match)

6,915Bombs planted

1,991Bombs defused

Most-used weapons

AK-4746,106

AWP33,334

M4A4 / M4A1-S22,603

P2000 / USP-S8,007

Glock-184,556

P2503,093

Desert Eagle3,058

Galil AR1,904

Knife1,845

FAMAS1,727

Lifetime map wins

13,314inferno

5,715nuke

5,122dust2

2,128train

1,500vertigo

594cbble

94lake

45office

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

Faceit stats

Combat

1,331Matches

53%Win rate

1.09Avg K/D

77.2ADR

37%Headshot %

Clutches & streaks

43%1v1 clutch win

21%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	182	50%	1.13	16.1
Mirage	162	52%	1.02	15.2
Anubis	147	52%	1.09	15.8
Nuke	128	65%	1.21	15.7
Ancient	89	48%	1.05	14.2
Dust2	64	45%	1.03	15.4
Overpass	51	47%	0.95	13.9
Train	20	55%	1.11	15.3

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.

18.6%Headshot accuracy

35.9%Accuracy (enemy spotted)

41.4%Spray accuracy

80.3%Counter-strafing

9.6°Preaim

577msReaction time

28.2%T opening success

40.9%CT opening success

0.53Enemies flashed / flash

3.0%Flash assists

7.90HE damage / grenade

9.07Flashes / 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.

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 28.1684% — 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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–11	-0.02	23%	28 Aug →
cache	9–13	-0.05	24%	26 Aug →
cache	7–13	-0.06	29%	21 Aug →
inferno	0–7	-0.13	0%	16 Aug →
ancient	13–3	0.00	9%	16 Aug →
anubis	16–14	0.01	11%	16 Aug →
inferno	13–5	0.10	14%	16 Aug →
nuke	11–13	0.03	28%	13 Aug →
inferno	6–0	0.19	27%	13 Aug →
inferno	13–8	0.01	23%	12 Aug →
inferno	7–10	-0.02	21%	7 Aug →
inferno	4–13	-0.04	9%	2 Aug →
mirage	13–10	-0.00	23%	1 Aug →
inferno	13–5	0.08	19%	1 Aug →
anubis	11–13	-0.01	17%	1 Aug →
cache	13–9	-0.02	13%	1 Aug →
cache	12–16	0.02	18%	1 Aug →
inferno	13–5	0.07	18%	31 Jul →
dust2	15–15	0.02	24%	30 Jul →
anubis	7–13	-0.01	9%	30 Jul →
mirage	13–6	0.04	18%	15 Jul →
inferno	0–13	-0.02	0%	15 Jul →
dust2	6–13	-0.04	19%	15 Jul →
anubis	14–16	0.08	19%	11 Jul →
nuke	9–13	-0.07	25%	6 Jul →
dust2	10–13	-0.00	18%	4 Jul →
overpass	8–13	0.00	17%	4 Jul →
inferno	15–15	-0.04	24%	4 Jul →
inferno	13–5	0.00	23%	3 Jul →
nuke	13–5	0.09	16%	3 Jul →
inferno	11–13	-0.03	12%	3 Jul →
dust2	5–13	-0.06	21%	29 Jun →
dust2	8–13	0.01	24%	29 Jun →
nuke	11–13	0.06	26%	27 Jun →
dust2	7–13	0.03	14%	27 Jun →
nuke	13–2	-0.02	21%	27 Jun →
overpass	13–5	0.10	23%	21 Jun →
nuke	13–7	0.02	22%	21 Jun →
ancient	13–10	0.11	17%	20 Jun →
dust2	13–9	-0.08	14%	17 Jun →
mirage	13–1	0.11	20%	17 Jun →
nuke	13–4	0.01	11%	17 Jun →
mirage	9–13	0.10	12%	16 Jun →
overpass	15–15	-0.01	18%	16 Jun →
nuke	0–13	-0.08	0%	14 Jun →
dust2	5–13	-0.06	22%	14 Jun →
nuke	13–0	0.00	33%	14 Jun →
dust2	13–2	-0.02	18%	14 Jun →
nuke	13–8	0.04	6%	13 Jun →
ancient	2–7	-0.00	9%	13 Jun →
anubis	13–5	0.07	12%	9 Jun →
mirage	7–13	-0.03	10%	4 Jun →
cache	12–12	0.03	28%	27 May →
ancient	13–11	0.02	6%	27 May →
overpass	13–10	0.05	14%	27 May →
mirage	11–13	-0.01	17%	26 May →
cache	6–13	0.00	31%	24 May →
inferno	7–13	0.01	22%	24 May →
anubis	3–13	-0.00	26%	14 May →
mirage	5–13	0.03	16%	10 May →
nuke	14–16	0.02	11%	10 May →
nuke	16–12	0.04	25%	10 May →
office	12–12	0.01	10%	10 May →
alpine	13–4	0.12	20%	10 May →
cache	13–7	0.04	23%	10 May →
cache	7–13	-0.03	22%	10 May →
cache	10–13	-0.02	20%	9 May →
inferno	7–13	0.04	14%	6 May →
inferno	16–14	0.06	16%	5 May →
nuke	5–13	0.01	16%	4 May →
nuke	13–11	-0.05	15%	3 May →
cache	10–13	0.01	6%	3 May →
cache	11–13	0.01	22%	2 May →
cache	13–5	0.05	20%	2 May →
cache	13–3	0.14	30%	2 May →
nuke	13–7	0.10	11%	1 May →
inferno	1–13	-0.02	24%	1 May →
cache	10–13	-0.01	18%	1 May →
ancient	13–6	0.07	24%	1 May →
nuke	13–6	0.10	23%	28 Apr →
inferno	13–11	0.04	14%	26 Apr →
overpass	13–8	0.09	29%	25 Apr →
inferno	13–3	0.04	19%	23 Apr →
dust2	13–7	0.03	21%	23 Apr →
inferno	13–9	0.08	13%	19 Apr →
anubis	10–13	0.02	10%	19 Apr →
dust2	13–8	0.03	14%	19 Apr →
inferno	11–13	-0.04	21%	18 Apr →
inferno	14–16	0.02	22%	18 Apr →
inferno	6–13	0.04	39%	12 Apr →
nuke	5–13	0.01	21%	12 Apr →
dust2	13–11	-0.00	16%	7 Apr →
ancient	4–13	-0.03	5%	5 Apr →
ancient	9–13	-0.01	17%	4 Apr →
overpass	13–7	0.05	17%	31 Mar →
nuke	13–11	-0.00	20%	31 Mar →
warden	13–0	0.08	32%	31 Mar →
dust2	11–13	-0.04	12%	21 Mar →
dust2	13–1	0.11	10%	20 Mar →
dust2	13–4	0.09	28%	18 Mar →