Breadmeister — CS2 Stats

76561198058656489[U:1:98390761]

9,082Tracked matches47%Win rate2023Tracked since

7,584Hours in CS85Hrs last 2 wks

CSDB Rating5.7 SolidHybrid Rifler

Premier CS Rating23,968Top 50% of 819 CSDB-tracked playersPink band · top ~4.1% of ranked players (population est.)

CSDB Leaderboard#1556 of 6950 tracked

FaceitLevel 8 · 1,701 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim67

Positioning51

Utility78

0–100 skill scores via Leetify.

Recent form

STEADY50–49–1Last 10050%Win rateLWWWLWLLWW

Last 10 vs previous 10: +10pp win rate · -0.02 avg rating

Player DNA

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

Aim6.7

Aggression6.1

Utility7.8

Positioning5.1

Opening Duels2.7

Clutch3.6

High utility contribution

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 91% playstyle similarity

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

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

Strengths

Utility. Utility score of 78 — grenade impact well above the norm.

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

Aim6.7

Positioning5.1

Utility7.8

Mechanics4.8

Opening Duels2.7

Win Impact3.9

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time496ms−67ms

first ⅓ avg 563ms → last ⅓ avg 496ms

Headshot accuracy15.9%−2.3%

first ⅓ avg 18.3% → last ⅓ avg 15.9%

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 — nuke 13–2

13–0Biggest win — train

7Longest win streak

12–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 83% over 12anubisWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	27	13–14	48%	-0.01
cache	D	16	5–11	31%	-0.01
mirage	A	14	8–6	57%	-0.01
nuke	S	12	10–2	83%	-0.00
ancient	A	11	7–4	64%	0.01
anubis	D	8	2–6	25%	-0.01
inferno	D	6	2–4	33%	-0.02
vertigo	—	4	2–2	50%	0.01
train	—	2	1–1	50%	0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

178,798Lifetime kills

0.88K/D

10,588Matches

44.9%Match win rate

53.5%Headshot % · Top 50% of Pink band

1.6%Shot accuracy

21,656MVPs

4,062Hours (in match)

11,316Bombs planted

2,803Bombs defused

Most-used weapons

AK-4767,387

M4A4 / M4A1-S33,319

Desert Eagle24,692

P2000 / USP-S9,259

AWP9,185

Galil AR6,191

Glock-186,135

MP94,783

MAC-103,879

FAMAS3,374

Lifetime map wins

15,321inferno

14,979dust2

11,849nuke

9,218vertigo

3,264train

899office

26italy

9ar_baggage

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

Faceit stats

Combat

1,508Matches

50%Win rate

0.96Avg K/D

78.1ADR

49%Headshot %

Clutches & streaks

38%1v1 clutch win

22%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	269	52%	0.92	13.9
Mirage	255	47%	0.94	14.7
Ancient	228	50%	0.98	14.6
Inferno	222	48%	1.01	15.7
Anubis	161	58%	0.98	14.8
Nuke	128	45%	0.91	14.6
Vertigo	127	51%	1.03	16.5
Overpass	69	54%	0.94	14.7

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.

16.0%Headshot accuracy

34.0%Accuracy (enemy spotted)

36.3%Spray accuracy

71.6%Counter-strafing

10.0°Preaim

496msReaction time

39.3%T opening success

42.2%CT opening success

0.66Enemies flashed / flash

9.9%Flash assists

10.33HE damage / grenade

13.43Flashes / 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 39.2989% — below the 40% mark we flag

Spend your practice time on Anubis

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	10–13	-0.04	9%	28 Aug →
mirage	13–11	-0.02	11%	28 Aug →
dust2	13–11	0.01	20%	28 Aug →
cache	13–11	-0.01	18%	28 Aug →
ancient	9–13	-0.02	9%	27 Aug →
dust2	13–10	0.00	16%	27 Aug →
mirage	4–13	-0.04	11%	27 Aug →
nuke	11–13	0.10	16%	27 Aug →
mirage	13–7	-0.01	23%	27 Aug →
nuke	16–14	-0.01	20%	27 Aug →
nuke	13–9	-0.01	25%	26 Aug →
mirage	11–13	-0.01	11%	26 Aug →
inferno	7–13	0.04	19%	26 Aug →
dust2	13–6	0.09	21%	26 Aug →
mirage	13–9	0.04	26%	26 Aug →
ancient	13–6	0.04	16%	26 Aug →
dust2	13–16	-0.02	14%	25 Aug →
ancient	13–8	-0.00	20%	25 Aug →
anubis	8–13	0.02	14%	25 Aug →
cache	11–13	-0.02	12%	25 Aug →
cache	11–13	0.08	16%	24 Aug →
ancient	13–3	0.09	8%	24 Aug →
cache	4–13	-0.08	12%	24 Aug →
dust2	4–13	0.03	25%	24 Aug →
cache	5–13	-0.06	11%	24 Aug →
mirage	6–13	-0.09	12%	23 Aug →
cache	13–8	-0.07	10%	23 Aug →
nuke	13–11	0.00	22%	23 Aug →
vertigo	14–16	-0.01	17%	22 Aug →
vertigo	9–13	0.07	16%	22 Aug →
dust2	7–13	0.02	18%	22 Aug →
dust2	13–9	-0.02	14%	22 Aug →
dust2	13–6	-0.02	17%	22 Aug →
dust2	13–8	-0.05	29%	22 Aug →
anubis	6–13	0.03	21%	22 Aug →
vertigo	13–11	0.01	19%	21 Aug →
nuke	13–5	0.04	14%	21 Aug →
anubis	13–4	-0.04	12%	21 Aug →
cache	9–13	0.08	23%	21 Aug →
dust2	12–16	-0.07	22%	21 Aug →
cache	6–13	-0.07	22%	20 Aug →
ancient	5–13	-0.02	15%	20 Aug →
cache	5–13	-0.06	7%	20 Aug →
dust2	9–13	-0.07	22%	20 Aug →
nuke	13–10	-0.06	15%	19 Aug →
anubis	12–16	0.02	19%	18 Aug →
cache	19–17	0.01	15%	17 Aug →
ancient	13–6	0.00	13%	17 Aug →
mirage	16–14	-0.04	19%	17 Aug →
dust2	2–13	-0.06	31%	17 Aug →
mirage	13–11	0.06	29%	17 Aug →
dust2	13–11	-0.08	15%	17 Aug →
dust2	6–13	-0.03	19%	16 Aug →
dust2	8–13	-0.03	39%	16 Aug →
dust2	5–13	-0.03	27%	15 Aug →
dust2	13–9	0.06	19%	15 Aug →
inferno	8–13	-0.04	6%	15 Aug →
anubis	13–8	-0.04	14%	15 Aug →
dust2	13–7	0.06	26%	15 Aug →
nuke	13–11	-0.07	9%	15 Aug →
nuke	2–13	-0.07	4%	15 Aug →
mirage	7–1	0.05	31%	15 Aug →
ancient	11–13	-0.00	11%	14 Aug →
ancient	13–5	0.00	18%	14 Aug →
mirage	5–13	-0.02	21%	14 Aug →
mirage	5–13	-0.02	31%	14 Aug →
train	12–12	0.01	17%	14 Aug →
train	13–0	0.04	30%	14 Aug →
cache	8–13	-0.02	9%	14 Aug →
ancient	13–2	0.09	12%	13 Aug →
cache	13–4	0.07	15%	13 Aug →
inferno	5–13	-0.09	0%	13 Aug →
dust2	7–13	-0.06	18%	13 Aug →
nuke	13–4	-0.01	18%	13 Aug →
anubis	4–13	0.01	23%	13 Aug →
vertigo	13–10	-0.04	17%	13 Aug →
anubis	11–13	-0.04	19%	13 Aug →
dust2	9–13	-0.04	11%	13 Aug →
dust2	13–10	-0.02	19%	12 Aug →
nuke	13–2	0.11	17%	12 Aug →
nuke	13–8	-0.04	23%	12 Aug →
dust2	13–10	0.03	17%	12 Aug →
inferno	4–13	-0.02	23%	11 Aug →
cache	5–10	0.05	21%	11 Aug →
inferno	13–9	-0.04	21%	11 Aug →
anubis	8–13	-0.07	17%	11 Aug →
cache	4–13	-0.09	0%	10 Aug →
cache	13–10	-0.02	18%	10 Aug →
dust2	6–13	-0.09	11%	10 Aug →
dust2	4–10	0.03	21%	10 Aug →
mirage	16–14	-0.05	18%	10 Aug →
nuke	13–10	0.01	25%	9 Aug →
inferno	13–5	0.04	35%	9 Aug →
ancient	13–7	-0.00	20%	9 Aug →
dust2	13–5	0.00	23%	9 Aug →
mirage	12–1	0.03	33%	9 Aug →
dust2	13–3	0.01	21%	9 Aug →
cache	8–13	0.01	20%	9 Aug →
ancient	3–13	-0.03	15%	8 Aug →
mirage	6–13	-0.07	15%	8 Aug →