Spongeboob — CS2 Stats

76561198091275946[U:1:131010218]✓ No bans

1,123Tracked matches48%Win rate2020Tracked since

2,249Hours in CS1Hrs last 2 wks

CSDB Rating4.1 Developing

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

Share this profile

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

Aim48

Positioning36

Utility41

0–100 skill scores via Leetify.

Recent form

STEADY46–47–7Last 10046%Win rateLWWWLTLTLW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating

Player DNA

Aim4.8

Aggression3.8

Utility4.1

Positioning3.6

Opening Duels0.6

Clutch5.6

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 77% playstyle similarity

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

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

Areas to improve

Reaction time. 652ms 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

Aim4.8

Positioning3.6

Utility4.1

Mechanics4.9

Opening Duels1.2

Win Impact4.4

Composite 4.1/10 (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-0.03−0.01

first ⅓ avg -0.02 → last ⅓ avg -0.03

Reaction time644ms−19ms

first ⅓ avg 662ms → last ⅓ avg 644ms

Headshot accuracy15.3%+0.6%

first ⅓ avg 14.7% → last ⅓ avg 15.3%

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

0.08Best rating — nuke 7–13

13–1Biggest win — vertigo

5Longest win streak

15–10In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 60% over 15mirageWeakest map · 37% over 27

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	27	10–17	37%	-0.02
ancient	B	19	10–9	53%	-0.04
nuke	A	15	9–6	60%	-0.01
anubis	C	9	4–5	44%	-0.03
train	A	9	5–4	56%	-0.01
dust2	—	4	1–3	25%	-0.03
vertigo	—	4	3–1	75%	0.03
inferno	—	3	1–2	33%	-0.06
overpass	—	3	1–2	33%	-0.04
cache	—	2	1–1	50%	-0.02
office	—	2	0–2	0%	-0.06
jura	—	1	1–0	100%	0.02
italy	—	1	0–1	0%	-0.12
grail	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (37% over 27). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

53,819Lifetime kills

0.84K/D

3,311Matches

41.9%Match win rate

32.7%Headshot %

16.6%Shot accuracy · Top 25% of tracked players

6,367MVPs

1,390Hours (in match)

3,995Bombs planted

759Bombs defused

Most-used weapons

AK-4717,853

M4A4 / M4A1-S8,733

AWP6,880

P2000 / USP-S3,309

Glock-182,568

Desert Eagle2,549

P2501,426

FAMAS1,003

MP9989

MAC-10938

Lifetime map wins

6,379dust2

3,071nuke

3,037inferno

1,980train

1,962vertigo

434cbble

244lake

103safehouse

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

Faceit stats

Combat

620Matches

48%Win rate

0.83Avg K/D

65.7ADR

32%Headshot %

Clutches & streaks

48%1v1 clutch win

13%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	29	38%	0.70	11.0
Vertigo	19	53%	0.85	13.2
Anubis	17	59%	0.91	14.9
Ancient	14	50%	0.79	12.0
Nuke	12	50%	0.81	12.0
Dust2	9	67%	0.97	16.1
Inferno	3	33%	0.91	16.3

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.

15.8%Headshot accuracy

31.9%Accuracy (enemy spotted)

35.8%Spray accuracy

71.9%Counter-strafing

10.1°Preaim

652msReaction time

24.8%T opening success

39.8%CT opening success

0.73Enemies flashed / flash

0.6%Flash assists

9.65HE damage / grenade

3.31Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.3093 — below the 4 mark we flag
Grenade Lineups →
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 24.8297% — below the 40% mark we flag

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.

37% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	10–13	0.01	34%	26 Aug →
mirage	13–10	0.05	16%	25 Aug →
mirage	13–11	-0.02	15%	6 Aug →
nuke	13–9	-0.04	14%	5 Aug →
mirage	9–13	0.04	11%	5 Aug →
inferno	15–15	-0.04	12%	28 Jul →
ancient	7–13	0.01	18%	28 Jul →
anubis	15–15	-0.01	18%	23 Jul →
mirage	10–13	-0.06	13%	21 Jul →
ancient	13–6	-0.10	3%	16 Jul →
ancient	13–11	0.04	18%	15 Jul →
dust2	2–13	-0.04	23%	14 Jul →
mirage	13–7	-0.04	11%	14 Jul →
cache	4–13	-0.05	21%	11 Jul →
mirage	13–9	-0.00	14%	9 Jul →
mirage	2–13	-0.11	5%	3 Jul →
dust2	3–13	-0.07	9%	6 Jun →
ancient	11–13	-0.03	16%	24 May →
mirage	11–13	0.00	8%	13 May →
nuke	6–13	-0.11	0%	6 May →
ancient	2–13	-0.09	9%	6 May →
cache	13–10	0.01	24%	28 Apr →
ancient	13–6	-0.05	34%	17 Apr →
nuke	12–12	-0.01	22%	17 Apr →
mirage	2–13	-0.05	21%	7 Apr →
overpass	4–13	-0.06	10%	5 Apr →
ancient	13–10	-0.03	16%	1 Apr →
anubis	13–11	0.01	20%	1 Apr →
mirage	13–10	0.01	19%	1 Apr →
ancient	13–9	-0.08	14%	31 Mar →
train	13–8	0.01	18%	29 Mar →
anubis	12–12	-0.05	9%	22 Mar →
nuke	16–13	-0.06	9%	19 Jan →
mirage	13–6	-0.02	24%	31 Dec →
overpass	9–13	-0.12	18%	26 Aug →
mirage	3–13	-0.05	8%	25 Aug →
nuke	13–6	0.01	21%	23 Aug →
mirage	13–7	0.02	13%	8 Aug →
nuke	12–12	0.05	16%	25 Jul →
mirage	1–13	-0.06	17%	16 Jul →
mirage	7–13	-0.09	7%	14 Jul →
dust2	8–13	-0.00	20%	12 Jul →
ancient	11–13	-0.00	22%	11 Jul →
anubis	9–13	-0.08	17%	10 Jul →
nuke	13–11	0.03	25%	28 Jun →
train	12–12	0.05	27%	27 Jun →
vertigo	3–0	0.00	0%	27 Jun →
ancient	13–11	0.02	8%	19 Jun →
train	13–8	0.01	12%	19 Jun →
anubis	13–9	0.01	5%	8 Jun →
mirage	5–13	-0.04	17%	8 Jun →
nuke	13–11	-0.03	15%	7 Jun →
jura	13–10	0.02	24%	7 Jun →
train	13–11	-0.04	6%	6 Jun →
ancient	16–14	-0.04	8%	3 Jun →
italy	2–13	-0.12	18%	31 May →
grail	7–13	-0.04	8%	27 May →
train	11–13	-0.01	15%	27 May →
vertigo	7–13	0.04	16%	25 May →
ancient	3–13	-0.08	28%	21 May →
train	3–13	0.03	20%	18 May →
nuke	13–9	-0.05	16%	17 May →
vertigo	13–1	0.06	18%	13 May →
ancient	10–13	-0.10	6%	3 May →
mirage	13–11	-0.02	7%	24 Apr →
vertigo	9–6	0.03	32%	22 Apr →
inferno	4–9	-0.11	25%	22 Apr →
overpass	13–8	0.06	19%	22 Apr →
mirage	13–7	0.01	22%	16 Apr →
anubis	13–11	-0.05	7%	16 Apr →
nuke	13–3	0.01	11%	15 Apr →
nuke	13–16	-0.04	26%	13 Apr →
ancient	3–13	-0.04	14%	13 Apr →
mirage	11–13	-0.04	9%	12 Apr →
anubis	4–13	-0.05	3%	11 Apr →
mirage	9–13	0.01	10%	11 Apr →
nuke	7–13	0.08	15%	10 Apr →
ancient	13–11	-0.05	15%	9 Apr →
mirage	9–13	-0.05	15%	9 Apr →
mirage	14–16	-0.02	12%	8 Apr →
anubis	13–6	0.04	17%	7 Apr →
ancient	13–3	0.05	17%	7 Apr →
office	9–13	-0.07	47%	5 Apr →
office	12–12	-0.04	12%	5 Apr →
train	6–13	-0.08	10%	4 Apr →
nuke	13–8	0.01	13%	4 Apr →
mirage	13–9	0.01	15%	4 Apr →
ancient	7–13	-0.04	8%	4 Apr →
anubis	5–13	-0.07	11%	3 Apr →
train	13–11	-0.01	12%	2 Apr →
ancient	7–13	-0.02	16%	2 Apr →
nuke	13–11	-0.04	21%	1 Apr →
inferno	13–11	-0.03	6%	1 Apr →
mirage	14–16	-0.03	15%	30 Mar →
mirage	11–13	-0.03	21%	29 Mar →
ancient	16–14	-0.04	20%	28 Mar →
train	13–7	-0.03	5%	27 Mar →
nuke	11–13	-0.04	14%	19 Mar →
mirage	14–16	-0.03	12%	18 Mar →
dust2	13–10	0.01	14%	14 Mar →