Brodie — CS2 Stats

76561198438865546[U:1:478599818]

1,566Tracked matches57%Win rate2021Tracked since

1,397Hours in CS

CSDB Rating6.9 SolidAggressive Rifler

Premier CS Rating22,605Top 50% of 819 CSDB-tracked playersPink band · top ~5.6% of ranked players (population est.)

CSDB Leaderboard#4772 of 16389 tracked

FaceitLevel 2Top 97.9% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim79

Positioning57

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateWLLWWWLWLL

Last 10 vs previous 10: -30pp win rate · +0.01 avg rating

Player DNA

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

Aim7.9

Aggression8.7

Utility6.5

Positioning5.7

Opening Duels4.1

Strong CT-side openerEffective flashes

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 device 93% playstyle similarity

Most alike: utility contribution, 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

Areas to improve

T-side openings. Opening success drops from 54% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 583ms 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

Aim7.9

Positioning5.7

Utility6.5

Mechanics7.5

Opening Duels4.1

Win Impact7.2

Composite 6.9/10 (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 rating0.01+0.00

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time576ms−36ms

first ⅓ avg 612ms → last ⅓ avg 576ms

Headshot accuracy24.2%−0.2%

first ⅓ avg 24.4% → last ⅓ avg 24.2%

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

0.15Best rating — mirage 13–3

13–1Biggest win — nuke

4Longest win streak

3–11In matches decided by ≤2 rounds

7Overtime games

Map breakdown

cacheBest map · 80% over 5infernoWeakest map · 18% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	33	20–13	61%	0.02
dust2	A	32	18–14	56%	0.00
inferno	D	11	2–9	18%	-0.00
nuke	C	8	3–5	38%	-0.01
ancient	C	7	3–4	43%	-0.02
cache	S	5	4–1	80%	0.03
anubis	—	3	1–2	33%	0.02
overpass	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

80,099Lifetime kills

1.12K/D · Top 50% of Pink band

4,479Matches

40.5%Match win rate

51.2%Headshot % · Top 50% of Pink band

11.6%Shot accuracy

6,907MVPs

1,397Hours (in match)

3,120Bombs planted

697Bombs defused

Most-used weapons

AK-4731,586

M4A4 / M4A1-S13,926

AWP9,332

Desert Eagle5,989

P2000 / USP-S3,052

Glock-182,479

Galil AR2,048

FAMAS1,333

Knife1,190

SSG 081,048

Lifetime map wins

5,486dust2

5,165inferno

2,876nuke

943train

883vertigo

232lake

117cbble

64office

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.

24.3%Headshot accuracy

33.3%Accuracy (enemy spotted)

32.3%Spray accuracy

83.5%Counter-strafing

8.0°Preaim

583msReaction time

38.8%T opening success

54.3%CT opening success

0.73Enemies flashed / flash

7.4%Flash assists

11.61HE damage / grenade

7.73Flashes / 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 38.7819% — 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.

18% win rate across 11 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
dust2	13–10	0.00	19%	5 Aug →
dust2	8–13	-0.03	32%	5 Aug →
dust2	2–13	-0.06	56%	5 Aug →
mirage	13–5	-0.02	31%	5 Aug →
dust2	13–10	0.05	36%	4 Aug →
mirage	13–8	0.11	14%	4 Aug →
ancient	9–13	0.02	40%	4 Aug →
inferno	13–4	0.09	25%	3 Aug →
inferno	0–4	-0.05	0%	3 Aug →
mirage	8–13	-0.01	17%	3 Aug →
inferno	7–13	-0.03	24%	3 Aug →
dust2	13–5	-0.02	11%	3 Aug →
cache	13–6	0.07	59%	3 Aug →
ancient	13–5	-0.01	22%	3 Aug →
mirage	13–8	0.10	24%	30 Jul →
inferno	4–13	-0.08	26%	29 Jul →
mirage	13–10	-0.00	13%	28 Jul →
mirage	13–10	0.01	28%	28 Jul →
ancient	13–6	-0.03	13%	27 Jul →
mirage	13–8	0.01	24%	26 Jul →
mirage	4–13	0.00	24%	24 Jul →
dust2	13–8	-0.03	22%	22 Jul →
nuke	11–13	-0.01	19%	22 Jul →
dust2	11–13	0.00	30%	22 Jul →
mirage	7–2	-0.01	14%	22 Jul →
dust2	5–13	-0.03	22%	21 Jul →
mirage	13–11	-0.02	21%	21 Jul →
dust2	5–13	-0.01	14%	17 Jul →
nuke	11–13	0.03	23%	17 Jul →
dust2	13–7	-0.01	9%	17 Jul →
dust2	13–5	0.03	35%	16 Jul →
anubis	13–9	0.11	26%	16 Jul →
cache	9–13	0.01	27%	16 Jul →
dust2	13–9	0.01	26%	16 Jul →
anubis	10–13	-0.01	30%	16 Jul →
dust2	13–6	-0.03	18%	14 Jul →
mirage	11–13	-0.01	18%	14 Jul →
dust2	13–7	0.06	35%	14 Jul →
mirage	13–4	0.11	16%	14 Jul →
dust2	13–9	0.01	16%	13 Jul →
ancient	4–13	-0.07	22%	13 Jul →
mirage	1–13	-0.00	30%	13 Jul →
dust2	11–13	-0.02	13%	13 Jul →
mirage	13–2	0.01	27%	12 Jul →
nuke	13–4	0.08	33%	12 Jul →
dust2	6–13	0.05	25%	11 Jul →
nuke	12–16	-0.07	12%	11 Jul →
ancient	13–3	-0.02	12%	11 Jul →
dust2	7–13	0.04	30%	11 Jul →
inferno	4–13	0.09	34%	11 Jul →
dust2	9–13	-0.00	18%	10 Jul →
cache	13–7	0.03	25%	10 Jul →
mirage	13–8	0.02	33%	10 Jul →
mirage	11–13	-0.03	12%	10 Jul →
ancient	6–13	0.05	23%	9 Jul →
cache	13–9	0.02	23%	9 Jul →
cache	13–7	0.03	33%	7 Jul →
mirage	13–7	0.14	35%	6 Jul →
mirage	13–9	0.09	22%	6 Jul →
mirage	2–13	-0.06	43%	6 Jul →
nuke	2–13	-0.08	13%	5 Jul →
dust2	8–13	0.03	19%	5 Jul →
mirage	16–13	0.01	17%	4 Jul →
inferno	8–13	-0.05	26%	4 Jul →
mirage	11–13	0.02	33%	4 Jul →
inferno	11–13	-0.01	28%	4 Jul →
mirage	3–13	0.06	22%	4 Jul →
dust2	13–9	0.02	29%	3 Jul →
nuke	7–13	0.02	24%	3 Jul →
dust2	9–13	0.03	18%	3 Jul →
nuke	16–13	-0.02	20%	1 Jul →
mirage	13–3	0.15	19%	1 Jul →
mirage	11–13	-0.03	20%	1 Jul →
anubis	6–13	-0.03	13%	30 Jun →
inferno	11–13	-0.01	14%	30 Jun →
dust2	16–14	0.01	31%	29 Jun →
inferno	14–16	-0.07	15%	29 Jun →
dust2	4–1	-0.01	67%	29 Jun →
inferno	7–13	0.01	24%	28 Jun →
dust2	6–13	0.03	23%	28 Jun →
overpass	9–13	-0.01	14%	25 Jun →
mirage	13–10	0.02	36%	25 Jun →
dust2	13–11	0.01	13%	25 Jun →
mirage	7–13	-0.02	12%	25 Jun →
dust2	13–10	-0.01	27%	25 Jun →
ancient	9–13	-0.05	14%	25 Jun →
mirage	13–9	0.00	23%	24 Jun →
mirage	13–4	0.00	29%	24 Jun →
dust2	12–16	-0.03	15%	24 Jun →
mirage	13–5	0.09	21%	24 Jun →
mirage	3–13	-0.06	24%	24 Jun →
dust2	13–8	0.00	29%	23 Jun →
mirage	16–13	-0.04	26%	23 Jun →
dust2	13–8	0.01	16%	23 Jun →
mirage	0–13	-0.04	45%	23 Jun →
dust2	6–13	0.02	36%	22 Jun →
inferno	13–5	0.06	21%	22 Jun →
mirage	7–13	0.01	38%	22 Jun →
dust2	13–9	0.01	13%	22 Jun →
nuke	13–1	0.01	36%	22 Jun →