bakedPot — CS2 Stats

76561198048743625[U:1:88477897]Steam profile ↗✓ No bans

619Tracked matches52%Win rate2020Tracked since

CSDB Rating3.5 Learning

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim23

Positioning39

Utility58

0–100 skill scores via Leetify.

Recent form

COLD41–53–6Last 10041%Win rateLWLLLTWLTW

Last 10 vs previous 10: -20pp win rate · -0.04 avg rating

Player DNA

Aim2.3

Aggression1.6

Utility5.8

Positioning3.9

Opening Duels0.0

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 67% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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. 712ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim2.3

Positioning3.9

Utility5.8

Mechanics4.1

Opening Duels0.0

Win Impact5.6

Composite 3.5/10 (Learning), 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 -0.03 → last ⅓ avg -0.03

Reaction time711ms−26ms

first ⅓ avg 737ms → last ⅓ avg 711ms

Headshot accuracy15.1%+1.5%

first ⅓ avg 13.6% → 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

0.11Best rating — anubis 13–5

13–0Biggest win — dust2

5Longest win streak

5–9In matches decided by ≤2 rounds

14Overtime games

Map breakdown

dust2Best map · 50% over 24nukeWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	24	12–12	50%	-0.03
mirage	B	20	9–11	45%	-0.04
ancient	C	17	7–10	41%	-0.04
inferno	C	14	5–9	36%	-0.02
anubis	D	11	3–8	27%	-0.04
overpass	C	5	2–3	40%	-0.01
nuke	D	5	1–4	20%	-0.03
train	—	2	1–1	50%	-0.03
cache	—	1	1–0	100%	0.00
vertigo	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

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

Faceit stats

Combat

3Matches

33%Win rate

0.78Avg K/D

—ADR

50%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	1	0%	0.50	11.0
Dust2	1	0%	1.06	18.0
Mirage	1	100%	0.78	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.

14.1%Headshot accuracy

29.6%Accuracy (enemy spotted)

29.9%Spray accuracy

68.4%Counter-strafing

12.5°Preaim

712msReaction time

16.3%T opening success

29.7%CT opening success

0.54Enemies flashed / flash

6.0%Flash assists

13.80HE damage / grenade

7.49Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.5492° — above the 12° mark we flag
Aim Training →
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 14.1337% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 711.8692ms — above the 700ms mark we flag
Aim Training →

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

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