BradPeople — CS2 Stats

76561198092330326[U:1:132064598]Steam profile ↗✓ No bans

309Tracked matches45%Win rate2020Tracked since

1,020Hours in CS0Hrs last 2 wks

CSDB Rating2.5 Learning

Ladder ranks via Leetify

Performance scores

Aim19

Positioning31

Utility36

0–100 skill scores via Leetify.

Recent form

STEADY41–55–4Last 10041%Win rateLWLWWLLLLW

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

Player DNA

Aim1.9

Aggression3.1

Utility3.6

Positioning3.1

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 66% playstyle similarity

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

Where you differ: lower positioning profile; 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. 726ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim1.9

Positioning3.1

Utility3.6

Mechanics2.9

Opening Duels0.2

Win Impact3.3

Composite 2.5/10 (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-0.05−0.02

first ⅓ avg -0.02 → last ⅓ avg -0.05

Reaction time727ms+29ms

first ⅓ avg 698ms → last ⅓ avg 727ms

Headshot accuracy16.0%+1.5%

first ⅓ avg 14.5% → last ⅓ avg 16.0%

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

0.08Best rating — mirage 5–13

13–2Biggest win — ancient

4Longest win streak

5–4In matches decided by ≤2 rounds

4Overtime games

Map breakdown

dust2Best map · 45% over 20infernoWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	34	13–21	38%	-0.04
dust2	B	20	9–11	45%	-0.04
cache	C	18	8–10	44%	-0.06
inferno	C	11	4–7	36%	-0.04
ancient	C	11	4–7	36%	-0.03
train	—	2	1–1	50%	-0.05
nuke	—	1	1–0	100%	-0.08
overpass	—	1	0–1	0%	-0.08
anubis	—	1	0–1	0%	-0.12
grail	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,115Lifetime kills

0.65K/D

1,554Matches

34.9%Match win rate

37.5%Headshot %

13.9%Shot accuracy · Top 50% of tracked players

1,673MVPs

541Hours (in match)

1,373Bombs planted

166Bombs defused

Most-used weapons

AK-473,970

AWP1,816

M4A4 / M4A1-S1,659

P90985

P2000 / USP-S827

MP9774

Desert Eagle720

Negev624

SG 553591

Glock-18586

Lifetime map wins

5,776dust2

540inferno

151train

100lake

85nuke

77vertigo

57safehouse

35stmarc

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.

13.7%Headshot accuracy

28.2%Accuracy (enemy spotted)

32.1%Spray accuracy

63.0%Counter-strafing

12.1°Preaim

726msReaction time

25.0%T opening success

31.4%CT opening success

0.46Enemies flashed / flash

2.7%Flash assists

7.62HE damage / grenade

4.72Flashes / 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 12.1248° — 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 13.7271% — 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 725.9914ms — above the 700ms mark we flag
Aim Training →

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.

36% 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
mirage	4–13	-0.06	6%	27 Jul →
cache	13–10	-0.10	13%	20 Jul →
dust2	2–13	-0.02	31%	12 Jul →
mirage	13–11	0.08	22%	12 Jul →
mirage	16–13	-0.03	11%	12 Jul →
mirage	3–13	-0.10	31%	12 Jul →
cache	6–13	-0.05	11%	12 Jul →
inferno	2–13	-0.01	15%	12 Jul →
dust2	10–13	-0.07	21%	6 Jul →
ancient	13–7	-0.08	13%	6 Jul →
dust2	13–11	-0.01	8%	5 Jul →
inferno	13–10	-0.06	18%	5 Jul →
dust2	13–4	0.03	14%	3 Jul →
ancient	10–13	-0.03	7%	3 Jul →
ancient	6–13	-0.02	10%	2 Jul →
dust2	12–12	-0.07	17%	2 Jul →
mirage	13–4	-0.01	13%	2 Jul →
cache	13–7	0.05	11%	1 Jul →
mirage	11–13	-0.07	5%	1 Jul →
mirage	0–3	-0.06	100%	1 Jul →
mirage	2–13	-0.05	15%	1 Jul →
mirage	7–13	-0.07	14%	30 Jun →
inferno	13–10	-0.09	23%	30 Jun →
dust2	13–5	-0.05	9%	30 Jun →
ancient	5–13	-0.10	5%	30 Jun →
mirage	13–11	-0.01	6%	30 Jun →
dust2	13–9	-0.04	14%	30 Jun →
inferno	11–13	-0.08	13%	30 Jun →
inferno	2–13	-0.04	13%	29 Jun →
ancient	3–13	-0.09	0%	29 Jun →
mirage	10–13	-0.05	19%	28 Jun →
cache	13–11	-0.07	11%	28 Jun →
cache	7–13	-0.09	10%	28 Jun →
ancient	5–13	-0.05	14%	27 Jun →
dust2	12–16	-0.06	15%	19 Jun →
dust2	5–13	-0.09	9%	15 Jun →
mirage	1–11	-0.04	38%	13 Jun →
nuke	13–9	-0.08	0%	13 Jun →
mirage	7–4	-0.10	4%	13 Jun →
cache	13–8	-0.08	16%	10 Jun →
cache	11–13	-0.09	26%	4 Jun →
cache	6–13	-0.08	4%	3 Jun →
dust2	1–13	-0.07	8%	1 Jun →
cache	13–3	-0.06	20%	1 Jun →
cache	13–11	-0.01	11%	26 May →
cache	4–13	-0.09	19%	25 May →
mirage	3–13	-0.10	29%	24 May →
mirage	9–13	-0.09	5%	24 May →
mirage	9–13	-0.09	25%	23 May →
cache	3–13	-0.08	20%	21 May →
cache	8–13	-0.06	19%	21 May →
cache	9–13	-0.05	5%	21 May →
cache	3–13	-0.04	9%	4 May →
cache	13–8	-0.10	12%	29 Apr →
cache	8–13	-0.09	24%	29 Apr →
cache	13–6	-0.02	16%	29 Apr →
mirage	5–13	-0.12	22%	22 Apr →
mirage	10–13	-0.07	11%	20 Jan →
dust2	13–7	-0.05	17%	18 Sept →
dust2	12–12	-0.05	17%	31 Aug →
mirage	5–13	-0.12	4%	31 Aug →
mirage	13–8	0.01	7%	15 Aug →
inferno	12–16	-0.05	12%	5 Jul →
ancient	9–13	-0.01	12%	2 Jul →
mirage	9–13	-0.01	12%	30 Jun →
mirage	13–7	-0.04	10%	29 Jun →
mirage	13–9	0.03	13%	29 Jun →
dust2	13–6	-0.02	7%	29 Jun →
mirage	11–13	-0.01	9%	29 Jun →
ancient	13–2	0.01	13%	29 Jun →
dust2	2–13	-0.04	10%	28 Jun →
mirage	9–13	-0.11	12%	28 Jun →
mirage	13–6	0.05	13%	28 Jun →
ancient	13–8	0.00	12%	28 Jun →
inferno	13–8	0.02	14%	24 Jun →
mirage	5–13	-0.07	19%	24 Jun →
inferno	8–13	-0.02	15%	23 Jun →
mirage	15–15	-0.01	15%	22 Jun →
mirage	13–9	0.04	13%	22 Jun →
ancient	13–6	0.02	11%	22 Jun →
mirage	5–13	0.08	13%	22 Jun →
mirage	8–1	-0.04	18%	22 Jun →
dust2	12–12	-0.10	19%	21 Jun →
overpass	6–13	-0.08	25%	21 Jun →
dust2	13–5	-0.01	18%	21 Jun →
mirage	13–8	0.01	29%	21 Jun →
inferno	9–13	-0.02	15%	21 Jun →
train	4–13	-0.05	14%	20 Jun →
train	13–9	-0.04	19%	20 Jun →
dust2	2–13	-0.10	32%	20 Jun →
mirage	10–13	-0.04	7%	19 Jun →
ancient	7–13	-0.00	19%	18 Jun →
mirage	13–10	0.05	12%	18 Jun →
dust2	13–9	0.01	8%	18 Jun →
inferno	13–6	0.00	9%	18 Jun →
anubis	4–13	-0.12	16%	17 Jun →
grail	13–10	0.01	14%	16 Jun →
inferno	8–13	-0.10	3%	16 Jun →
dust2	4–13	-0.03	10%	15 Jun →
dust2	13–7	-0.02	17%	15 Jun →