$Barbecue/\Sauce$

Barbecue/\Sauce — CS2 Stats

GB76561197969278057[U:1:9012329]Steam profile ↗✓ No bans

3,081Tracked matches53%Win rate2023Tracked since

4,799Hours in CS24Hrs last 2 wks

CSDB Rating4.4 Developing

Premier CS Rating19,229Purple band · top ~11.6% of ranked players (population est.)

CSDB Leaderboard#9526 of 19803 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Pink band median	vs Pink band
Headshot rate	31.2%	48.1%	16.9% short
Shot accuracy	2.3%	12.9%	10.6% short
Kill/death ratio	0.98	1.08	0.10 short
Match win rate	43.3%	46.5%	3.2% short

This profile sits below the typical Pink band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim40

Positioning52

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY56–38–6Last 10056%Win rateWLLLLWLWLW

Last 10 vs previous 10: -40pp win rate · -0.01 avg rating

Player DNA

Aim4.0

Aggression5.1

Utility5.5

Positioning5.2

Opening Duels1.0

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 83% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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. 568ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.0

Positioning5.2

Utility5.5

Mechanics4.2

Opening Duels1.0

Win Impact6.1

Composite 4.4/10 (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-0.01−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time576ms−5ms

first ⅓ avg 581ms → last ⅓ avg 576ms

Headshot accuracy15.5%+2.3%

first ⅓ avg 13.1% → last ⅓ avg 15.5%

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 — cache 13–1

13–1Biggest win — cache

8Longest win streak

3–6In matches decided by ≤2 rounds

Map breakdown

boulderBest map · 60% over 5cacheWeakest map · 36% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	25	10–15	40%	-0.02
anubis	A	23	13–10	57%	0.02
cache	C	14	5–9	36%	0.01
ancient	A	9	5–4	56%	-0.01
boulder	A	5	3–2	60%	-0.02
inferno	A	5	3–2	60%	-0.00
train	—	4	4–0	100%	-0.02
nuke	—	3	3–0	100%	0.03
dust2	—	3	3–0	100%	0.03
shelter	—	3	2–1	67%	-0.02
fachwerk	—	3	2–1	67%	0.01
vertigo	—	2	2–0	100%	0.04
office	—	1	1–0	100%	-0.09

Across the last 100 tracked matches.

Lifetime stats

111,671Lifetime kills

0.98K/D

8,457Matches

43.3%Match win rate

31.2%Headshot %

2.3%Shot accuracy

11,153MVPs

3,774Hours (in match)

9,246Bombs planted

1,458Bombs defused

Most-used weapons

AK-4718,010

AWP14,891

M4A4 / M4A1-S10,992

P907,827

PP-Bizon7,200

MP75,036

MAC-104,674

Dual Berettas4,561

SG 5534,133

Galil AR3,892

Lifetime map wins

9,811dust2

6,287inferno

4,875nuke

4,786office

3,863vertigo

1,977train

986italy

394assault

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

Skill profile

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

15.7%Headshot accuracy

26.7%Accuracy (enemy spotted)

28.4%Spray accuracy

68.8%Counter-strafing

10.0°Preaim

568msReaction time

33.8%T opening success

34.1%CT opening success

0.51Enemies flashed / flash

3.4%Flash assists

7.84HE damage / grenade

12.83Flashes / 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 33.8077% — 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.

36% 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
cache	13–7	0.03	14%	28 Aug →
cache	6–13	-0.06	24%	28 Aug →
cache	7–13	-0.05	4%	28 Aug →
cache	1–13	-0.00	16%	27 Aug →
cache	0–7	-0.04	11%	27 Aug →
mirage	13–11	0.11	16%	18 Aug →
mirage	9–13	-0.01	20%	18 Aug →
mirage	13–6	-0.08	16%	17 Aug →
mirage	6–13	-0.00	12%	17 Aug →
mirage	13–8	-0.08	14%	17 Aug →
cache	13–9	0.07	12%	15 Aug →
boulder	13–2	-0.08	3%	15 Aug →
cache	10–13	-0.05	22%	15 Aug →
mirage	13–8	0.02	17%	15 Aug →
inferno	13–8	0.00	11%	15 Aug →
ancient	13–4	-0.07	15%	14 Aug →
inferno	10–13	0.01	13%	14 Aug →
nuke	13–4	0.03	11%	14 Aug →
train	13–8	0.01	29%	13 Aug →
train	13–6	-0.01	24%	12 Aug →
mirage	13–6	0.01	22%	8 Aug →
mirage	10–1	0.07	11%	3 Aug →
mirage	11–13	0.00	24%	3 Aug →
mirage	8–13	-0.07	17%	3 Aug →
mirage	2–13	-0.04	12%	3 Aug →
mirage	13–2	0.04	15%	2 Aug →
mirage	3–13	-0.06	14%	2 Aug →
mirage	9–13	-0.01	21%	2 Aug →
dust2	13–9	-0.01	6%	2 Aug →
mirage	1–12	-0.03	5%	2 Aug →
mirage	11–13	0.01	17%	1 Aug →
mirage	3–13	0.03	21%	1 Aug →
mirage	13–6	-0.05	19%	1 Aug →
vertigo	13–6	0.03	12%	1 Aug →
mirage	7–13	-0.03	13%	1 Aug →
mirage	9–13	-0.07	7%	1 Aug →
anubis	13–7	0.02	7%	28 Jul →
anubis	13–4	0.03	14%	25 Jul →
vertigo	13–11	0.04	14%	16 Jul →
train	13–10	-0.07	14%	16 Jul →
shelter	13–5	-0.02	19%	16 Jul →
shelter	13–8	0.04	18%	15 Jul →
boulder	13–5	0.04	11%	13 Jul →
anubis	13–11	0.09	16%	13 Jul →
cache	11–13	0.02	23%	13 Jul →
nuke	13–9	0.02	13%	12 Jul →
shelter	6–13	-0.08	3%	12 Jul →
ancient	13–3	0.00	14%	12 Jul →
inferno	13–9	0.01	16%	12 Jul →
ancient	1–8	-0.07	14%	12 Jul →
fachwerk	13–7	0.06	14%	11 Jul →
boulder	13–8	0.03	9%	10 Jul →
boulder	6–13	-0.09	0%	10 Jul →
mirage	8–1	0.10	25%	10 Jul →
office	13–10	-0.09	9%	10 Jul →
boulder	5–13	-0.02	17%	10 Jul →
fachwerk	13–9	-0.05	14%	9 Jul →
cache	13–3	0.01	15%	9 Jul →
fachwerk	6–13	0.01	16%	9 Jul →
dust2	13–9	0.07	20%	9 Jul →
anubis	13–6	0.06	13%	7 Jul →
ancient	13–3	0.10	9%	7 Jul →
ancient	12–12	0.03	13%	7 Jul →
ancient	7–13	0.05	20%	7 Jul →
ancient	7–13	-0.03	10%	6 Jul →
inferno	13–7	0.02	19%	3 Jul →
inferno	1–8	-0.07	9%	3 Jul →
cache	13–1	0.18	13%	2 Jul →
cache	13–4	-0.06	21%	2 Jul →
cache	8–13	0.03	20%	2 Jul →
cache	6–13	-0.04	19%	1 Jul →
cache	7–13	0.04	12%	1 Jul →
dust2	13–7	0.04	17%	22 Jun →
nuke	13–8	0.03	16%	15 Jun →
train	13–6	-0.00	11%	12 Jun →
anubis	13–6	0.04	20%	12 Jun →
mirage	13–9	-0.02	9%	12 Jun →
mirage	8–13	-0.09	9%	12 Jun →
mirage	3–13	-0.10	9%	12 Jun →
mirage	11–13	-0.06	13%	12 Jun →
anubis	13–7	0.04	10%	10 Jun →
anubis	13–4	0.15	17%	30 May →
anubis	13–6	-0.02	15%	30 May →
anubis	12–12	-0.02	5%	30 May →
anubis	13–4	-0.02	9%	30 May →
ancient	13–10	-0.02	18%	29 May →
anubis	10–13	0.01	11%	29 May →
anubis	12–12	0.02	11%	29 May →
anubis	13–1	-0.01	11%	29 May →
anubis	13–7	0.07	13%	29 May →
anubis	12–12	-0.05	15%	29 May →
anubis	11–13	-0.02	12%	29 May →
anubis	1–13	-0.03	13%	29 May →
anubis	13–5	0.04	10%	28 May →
anubis	12–12	0.07	16%	28 May →
anubis	12–12	-0.05	9%	27 May →
anubis	13–6	0.07	11%	26 May →
anubis	10–13	-0.05	17%	26 May →
ancient	13–3	-0.07	0%	26 May →
anubis	11–13	0.04	23%	26 May →

Show all 100 matchesShow fewer

Match data via Leetify.

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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