sauce island — CS2 Stats

76561199249041718[U:1:1288775990]

894Tracked matches46%Win rate2023Tracked since

961Hours in CS1Hrs last 2 wks

CSDB Rating4.2 DevelopingClutch Specialist

Premier CS Rating10,705Blue band · top ~51.2% of ranked players (population est.)

CSDB Leaderboard#12816 of 17678 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

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Performance scores

Aim54

Positioning50

Utility20

0–100 skill scores via Leetify.

Recent form

COLD47–45–8Last 10047%Win rateLTWWLLWLLL

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim5.4

Aggression6.7

Utility2.0

Positioning5.0

Opening Duels1.9

Clutch10.0

Limited utility dependenceReliable in 1v1s

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 Twistzz 78% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 585ms 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

Aim5.4

Positioning5.0

Utility2.0

Mechanics6.0

Opening Duels1.9

Win Impact3.8

Composite 4.2/10 (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 rating-0.01−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.01

Reaction time583ms−25ms

first ⅓ avg 608ms → last ⅓ avg 583ms

Headshot accuracy20.6%+0.1%

first ⅓ avg 20.4% → last ⅓ avg 20.6%

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.

Highlights

0.30Best rating — inferno 9–0

13–0Biggest win — nuke

12Longest win streak

4–13In matches decided by ≤2 rounds

1Overtime games

Map breakdown

cacheBest map · 78% over 9ancientWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	25	12–13	48%	-0.01
nuke	B	18	9–9	50%	0.01
inferno	B	11	5–6	45%	0.04
overpass	A	9	5–4	56%	0.02
cache	S	9	7–2	78%	0.05
dust2	B	8	4–4	50%	0.00
anubis	S	6	4–2	67%	0.02
ancient	D	5	1–4	20%	-0.02
office	—	3	0–3	0%	-0.03
train	—	2	0–2	0%	0.02
vertigo	—	2	0–2	0%	0.01
warden	—	1	0–1	0%	-0.02
alpine	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,881Lifetime kills

1.00K/D

1,493Matches

40.6%Match win rate

49.9%Headshot % · Top 50% of tracked players

0.9%Shot accuracy

3,005MVPs

496Hours (in match)

1,491Bombs planted

287Bombs defused

Most-used weapons

AK-478,609

M4A4 / M4A1-S5,880

P2000 / USP-S1,462

Glock-181,361

Desert Eagle1,349

SSG 081,306

AWP1,006

MP9929

MAC-10767

Galil AR346

Lifetime map wins

3,479nuke

1,905inferno

1,183vertigo

1,053dust2

301office

191train

13italy

10ar_shoots

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

Faceit stats

Combat

5Matches

60%Win rate

0.97Avg K/D

76.7ADR

43%Headshot %

Clutches & streaks

100%1v1 clutch win

0%1v2 clutch win

2Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	2	50%	0.89	14.0
Mirage	1	100%	1.45	16.0
Anubis	1	0%	0.64	9.0
Dust2	1	100%	1.00	14.0

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.

20.2%Headshot accuracy

29.9%Accuracy (enemy spotted)

30.8%Spray accuracy

76.9%Counter-strafing

11.3°Preaim

585msReaction time

39.8%T opening success

35.6%CT opening success

0.27Enemies flashed / flash

2.9%Flash assists

5.88HE damage / grenade

2.60Flashes / 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
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.2698 — below the 0.5 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 39.7617% — below the 40% mark we flag

Spend your practice time on Ancient

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
overpass	3–13	0.05	24%	19 Aug →
anubis	12–12	0.01	7%	7 Aug →
inferno	13–5	0.04	17%	6 Aug →
nuke	13–9	-0.03	21%	6 Aug →
nuke	4–4	-0.07	29%	4 Aug →
ancient	3–13	-0.08	20%	4 Aug →
mirage	13–3	0.10	38%	4 Aug →
mirage	8–13	0.04	24%	2 Aug →
nuke	8–13	-0.06	12%	23 Jul →
anubis	10–13	0.03	25%	23 Jul →
mirage	13–7	0.01	55%	23 Jul →
office	5–13	0.02	9%	17 Jul →
nuke	13–7	-0.04	27%	17 Jul →
mirage	8–13	-0.02	17%	17 Jul →
nuke	12–12	-0.00	18%	16 Jul →
inferno	13–5	0.02	18%	16 Jul →
anubis	13–4	0.04	21%	16 Jul →
mirage	11–13	-0.03	22%	12 Jul →
overpass	13–11	-0.06	20%	6 Jul →
ancient	11–13	-0.05	15%	6 Jul →
dust2	6–13	-0.01	8%	1 Jul →
mirage	11–13	0.01	25%	30 Jun →
inferno	4–13	-0.04	13%	30 Jun →
warden	5–13	-0.02	17%	30 Jun →
mirage	13–7	0.01	21%	25 Jun →
nuke	13–10	0.02	19%	24 Jun →
mirage	11–13	-0.07	27%	23 Jun →
nuke	13–9	-0.01	7%	23 Jun →
dust2	13–8	-0.05	19%	23 Jun →
mirage	13–10	-0.07	22%	21 Jun →
overpass	11–13	-0.07	19%	13 Jun →
dust2	11–13	-0.06	18%	13 Jun →
nuke	12–12	0.02	26%	12 Jun →
mirage	13–11	-0.03	39%	12 Jun →
inferno	9–0	0.30	21%	10 Jun →
overpass	9–13	0.04	15%	10 Jun →
mirage	13–6	-0.06	16%	10 Jun →
inferno	13–8	-0.04	32%	9 Jun →
dust2	13–5	-0.01	30%	9 Jun →
dust2	13–3	0.05	25%	7 Jun →
ancient	3–13	-0.05	4%	7 Jun →
inferno	10–13	0.08	17%	22 May →
mirage	10–13	-0.08	9%	18 May →
nuke	13–8	0.05	22%	18 May →
nuke	13–4	0.04	13%	16 May →
mirage	3–13	-0.08	5%	16 May →
mirage	10–13	-0.01	7%	14 May →
office	3–13	-0.06	20%	14 May →
dust2	11–13	0.04	16%	13 May →
dust2	13–5	0.06	9%	12 May →
nuke	13–7	0.05	18%	12 May →
mirage	10–13	0.01	12%	9 May →
nuke	13–0	0.15	14%	9 May →
overpass	13–6	0.05	14%	9 May →
anubis	13–10	-0.01	29%	9 May →
cache	13–10	0.01	22%	9 May →
cache	13–9	0.12	21%	8 May →
cache	13–10	0.03	17%	8 May →
mirage	13–6	0.01	12%	7 May →
cache	13–11	0.04	21%	7 May →
nuke	13–8	-0.00	16%	7 May →
cache	13–4	0.09	12%	6 May →
mirage	5–5	0.05	7%	6 May →
overpass	13–9	-0.01	17%	5 May →
nuke	1–13	-0.12	0%	5 May →
ancient	2–13	0.07	18%	5 May →
mirage	13–1	0.02	0%	5 May →
mirage	12–12	0.01	17%	4 May →
ancient	13–4	0.03	27%	4 May →
anubis	13–3	0.04	6%	1 May →
cache	8–13	0.06	16%	1 May →
mirage	8–13	-0.03	10%	30 Apr →
cache	11–13	0.02	11%	30 Apr →
overpass	13–8	0.06	25%	29 Apr →
cache	13–2	0.03	16%	29 Apr →
cache	13–5	0.04	13%	29 Apr →
alpine	9–13	-0.03	19%	28 Apr →
train	11–13	-0.01	19%	28 Apr →
train	11–13	0.04	21%	28 Apr →
mirage	6–13	0.01	19%	24 Apr →
vertigo	5–13	-0.02	22%	24 Apr →
inferno	11–13	0.03	23%	24 Apr →
mirage	13–6	0.05	24%	22 Apr →
nuke	12–12	0.10	21%	21 Apr →
overpass	12–12	0.07	20%	21 Apr →
office	5–13	-0.04	19%	21 Apr →
mirage	13–4	0.01	14%	20 Apr →
inferno	4–13	0.04	28%	20 Apr →
overpass	13–7	0.07	34%	19 Apr →
nuke	8–8	0.03	14%	19 Apr →
inferno	13–8	0.09	21%	19 Apr →
vertigo	9–13	0.04	23%	10 Apr →
inferno	11–13	-0.06	25%	7 Apr →
nuke	12–12	0.04	22%	7 Apr →
inferno	3–9	-0.02	42%	7 Apr →
nuke	9–13	0.03	25%	5 Apr →
anubis	13–6	-0.01	17%	5 Apr →
dust2	9–13	0.01	18%	2 Apr →
mirage	16–13	0.10	26%	2 Apr →
mirage	6–13	-0.09	19%	2 Apr →