Burnt_Toast — CS2 Stats

US76561198446750692[U:1:486484964]Steam profile ↗✓ No bans

348Tracked matches29%Win rate2020Tracked since

CSDB Rating5.8 SolidAggressive Rifler

Premier CS Rating19,649Purple band · top ~9.9% of ranked players (population est.)

CSDB Leaderboard#15552 of 36680 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanSilver I

Ladder ranks via Leetify

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Performance scores

Aim75

Positioning59

Utility52

0–100 skill scores via Leetify.

Recent form

COLD47–50–3Last 10047%Win rateWLLLLLLLLL

Last 10 vs previous 10: -40pp win rate · -0.03 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.5

Aggression6.6

Utility5.2

Positioning5.9

Opening Duels3.9

Clutch5.8

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 93% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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. 573ms 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

Aim7.5

Positioning5.9

Utility5.2

Mechanics7.8

Opening Duels3.9

Win Impact0.0

Composite 5.8/10 (Solid), 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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time568ms−19ms

first ⅓ avg 587ms → last ⅓ avg 568ms

Headshot accuracy15.1%−0.4%

first ⅓ avg 15.5% → last ⅓ avg 15.1%

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

0.12Best rating — inferno 9–13

13–0Biggest win — ancient

6Longest win streak

8–14In matches decided by ≤2 rounds

10Overtime games

Map breakdown

ancientBest map · 75% over 8infernoWeakest map · 17% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	36	18–18	50%	0.03
dust2	D	19	6–13	32%	-0.01
anubis	C	12	5–7	42%	0.02
inferno	D	12	2–10	17%	-0.01
nuke	S	10	7–3	70%	0.02
ancient	S	8	6–2	75%	-0.01
overpass	—	3	3–0	100%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

156Matches

53%Win rate

1.21Avg K/D

86.7ADR

45%Headshot %

Clutches & streaks

49%1v1 clutch win

23%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	37	51%	1.24	18.2
Dust2	35	57%	1.24	17.7
Ancient	11	45%	1.11	14.6
Nuke	9	56%	1.23	18.1
Anubis	9	56%	1.45	20.1
Inferno	7	29%	0.99	15.9
Vertigo	4	25%	1.01	12.3
Overpass	4	75%	1.49	21.3

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.

15.0%Headshot accuracy

37.6%Accuracy (enemy spotted)

37.5%Spray accuracy

85.0%Counter-strafing

9.7°Preaim

573msReaction time

39.1%T opening success

52.3%CT opening success

0.61Enemies flashed / flash

8.1%Flash assists

9.91HE damage / grenade

7.24Flashes / 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 14.9774% — below the 15% mark we flag
Aim Training →
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 39.1222% — below the 40% mark we flag

Spend your practice time on Inferno

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

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

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

Show all 100 matchesShow fewer

Match data via Leetify.

Milestones

100 Matches

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

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