sauce_dude — CS2 Stats

US76561198120487559[U:1:160221831]Steam profile ↗

470Tracked matches46%Win rate2022Tracked since

CSDB Rating5.1 DevelopingHybrid Rifler

WingmanGold Nova II

Ladder ranks via Leetify

Performance scores

Aim65

Positioning59

Utility12

0–100 skill scores via Leetify.

Recent form

COLD54–37–9Last 10054%Win rateWLTWWLLLLL

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

Player DNA

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

Aim6.5

Aggression6.4

Utility1.2

Positioning5.9

Opening Duels2.7

Strong CT-side openerLimited utility dependence

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 ropz 80% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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.

T-side openings. Opening success drops from 49% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 649ms 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

Aim6.5

Positioning5.9

Utility1.2

Mechanics7.4

Opening Duels2.7

Win Impact3.7

Composite 5.1/10 (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 rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time645ms+4ms

first ⅓ avg 640ms → last ⅓ avg 645ms

Headshot accuracy10.2%+0.8%

first ⅓ avg 9.4% → last ⅓ avg 10.2%

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.

Highlights

0.18Best rating — nuke 13–0

13–0Biggest win — nuke

12Longest win streak

5–5In matches decided by ≤2 rounds

3Overtime games

Map breakdown

ancientBest map · 67% over 15dust2Weakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	22	13–9	59%	0.01
nuke	A	19	12–7	63%	0.03
ancient	S	15	10–5	67%	0.01
cache	C	14	6–8	43%	0.01
dust2	D	13	4–9	31%	-0.00
mirage	C	7	3–4	43%	0.03
train	—	3	2–1	67%	-0.02
vertigo	—	2	1–1	50%	0.04
office	—	2	0–2	0%	0.07
overpass	—	2	2–0	100%	0.03
boulder	—	1	1–0	100%	-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

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

10.2%Headshot accuracy

41.7%Accuracy (enemy spotted)

40.6%Spray accuracy

83.3%Counter-strafing

11.6°Preaim

649msReaction time

32.9%T opening success

48.7%CT opening success

0.32Enemies flashed / flash

1.5%Flash assists

6.31HE damage / grenade

1.13Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 10.2195% — below the 15% mark we flag
Aim Training →
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 0.3217 — 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 32.9251% — below the 40% mark we flag

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–5	0.01	10%	21 Aug →
train	3–13	-0.06	26%	12 Aug →
vertigo	12–12	-0.00	10%	29 Jul →
vertigo	13–10	0.08	14%	29 Jul →
cache	13–1	0.07	4%	20 Jul →
dust2	6–13	-0.03	10%	20 Jul →
mirage	1–13	-0.02	6%	20 Jul →
mirage	9–13	-0.02	5%	19 Jul →
inferno	11–13	-0.00	7%	19 Jul →
cache	7–13	0.02	13%	19 Jul →
dust2	13–7	0.02	15%	19 Jul →
cache	10–13	-0.03	6%	14 Jul →
mirage	12–12	0.06	7%	14 Jul →
nuke	9–13	-0.04	12%	13 Jul →
inferno	13–10	-0.01	9%	13 Jul →
mirage	9–13	0.06	15%	13 Jul →
ancient	13–10	-0.01	5%	13 Jul →
nuke	12–12	0.03	14%	12 Jul →
cache	9–13	-0.08	16%	12 Jul →
ancient	13–7	-0.02	9%	12 Jul →
mirage	13–9	0.02	10%	12 Jul →
cache	13–4	0.08	20%	12 Jul →
nuke	7–13	0.02	9%	12 Jul →
inferno	11–13	0.07	7%	11 Jul →
mirage	13–10	0.05	11%	11 Jul →
mirage	13–6	0.05	6%	10 Jul →
dust2	15–15	0.01	10%	10 Jul →
dust2	6–13	0.01	11%	10 Jul →
nuke	13–7	0.11	7%	9 Jul →
inferno	9–13	-0.07	5%	9 Jul →
nuke	13–5	0.01	11%	9 Jul →
boulder	13–7	-0.05	8%	9 Jul →
nuke	13–0	0.18	9%	9 Jul →
office	12–12	0.10	12%	8 Jul →
office	7–13	0.03	10%	8 Jul →
inferno	4–13	0.03	21%	6 Jul →
cache	13–9	-0.03	9%	6 Jul →
nuke	6–1	-0.04	0%	6 Jul →
ancient	13–8	0.01	3%	6 Jul →
inferno	13–7	0.03	8%	3 Jul →
inferno	13–5	0.05	5%	3 Jul →
cache	12–12	-0.04	21%	2 Jul →
cache	12–12	-0.01	16%	2 Jul →
ancient	13–2	0.11	11%	2 Jul →
nuke	13–5	0.06	16%	2 Jul →
inferno	6–13	-0.05	7%	2 Jul →
dust2	13–5	0.06	9%	2 Jul →
cache	12–12	0.01	13%	1 Jul →
cache	12–12	0.03	11%	1 Jul →
overpass	13–10	0.03	10%	1 Jul →
cache	11–8	0.02	11%	1 Jul →
cache	13–8	0.00	13%	1 Jul →
ancient	4–13	-0.03	8%	1 Jul →
nuke	13–4	0.10	8%	1 Jul →
inferno	10–13	-0.01	7%	30 Jun →
ancient	5–13	-0.04	7%	30 Jun →
nuke	8–13	0.03	14%	30 Jun →
inferno	13–2	0.05	19%	30 Jun →
nuke	8–13	-0.02	18%	29 Jun →
ancient	13–10	0.01	6%	28 Jun →
inferno	13–8	-0.00	9%	28 Jun →
inferno	13–16	-0.04	9%	28 Jun →
inferno	13–11	0.03	15%	27 Jun →
cache	5–13	-0.01	13%	27 Jun →
ancient	10–13	-0.07	3%	27 Jun →
dust2	0–6	-0.06	18%	27 Jun →
ancient	13–8	0.10	10%	26 Jun →
dust2	9–13	0.01	9%	26 Jun →
nuke	13–4	0.05	2%	26 Jun →
inferno	8–8	0.07	18%	25 Jun →
inferno	7–13	0.07	7%	25 Jun →
dust2	11–13	-0.07	14%	25 Jun →
nuke	13–5	0.05	14%	25 Jun →
inferno	13–11	-0.04	15%	23 Jun →
nuke	13–2	0.09	7%	22 Jun →
cache	13–6	0.06	7%	22 Jun →
inferno	13–7	0.04	11%	22 Jun →
nuke	13–9	-0.03	8%	22 Jun →
ancient	14–16	-0.04	5%	21 Jun →
dust2	8–13	-0.04	9%	21 Jun →
dust2	8–13	-0.00	14%	21 Jun →
inferno	13–7	0.01	11%	20 Jun →
ancient	9–13	0.04	8%	19 Jun →
nuke	13–10	-0.01	11%	19 Jun →
ancient	13–2	0.03	15%	19 Jun →
ancient	13–9	0.01	7%	19 Jun →
inferno	13–8	-0.01	3%	19 Jun →
train	13–8	-0.03	17%	18 Jun →
ancient	13–4	-0.04	14%	18 Jun →
inferno	13–11	0.02	6%	18 Jun →
overpass	13–11	0.04	6%	18 Jun →
dust2	13–6	0.09	8%	18 Jun →
ancient	13–5	0.02	10%	18 Jun →
inferno	13–8	0.04	8%	18 Jun →
dust2	13–7	-0.01	9%	18 Jun →
nuke	10–13	0.04	6%	18 Jun →
train	13–10	0.03	10%	17 Jun →
nuke	8–13	-0.05	4%	17 Jun →
dust2	7–13	-0.04	7%	17 Jun →
inferno	13–11	0.03	11%	17 Jun →