mrbigdawg — CS2 Stats

US76561198054266098[U:1:94000370]Steam profile ↗VAC banned

356Tracked matches60%Win rate2020Tracked since

862Hours in CS

CSDB Rating5.8 Solid

Premier CS Rating16,716Purple band · top ~21.6% of ranked players (population est.)

CSDB Leaderboard#12933 of 22249 tracked

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Purple band median	Pink band median	vs Pink band
Headshot rate	36.1%	44.1%	47.2%	11.2% short
Shot accuracy	17.8%	11.4%	12.7%	above
Kill/death ratio	1.14	1.03	1.09	above
Match win rate	43.2%	45.2%	46.6%	3.4% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim56

Positioning56

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY53–45–2Last 10053%Win rateWLLLLWWWWW

Last 10 vs previous 10: +0pp win rate · +0.04 avg rating

Player DNA

Aim5.6

Aggression7.0

Utility5.3

Positioning5.6

Opening Duels3.3

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 b1t 88% playstyle similarity

Most alike: opening-duel success, 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

T-side openings. Opening success drops from 57% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 590ms 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

Aim5.6

Positioning5.6

Utility5.3

Mechanics6.8

Opening Duels3.4

Win Impact8.3

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 rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time597ms+12ms

first ⅓ avg 585ms → last ⅓ avg 597ms

Headshot accuracy15.2%−0.0%

first ⅓ avg 15.2% → last ⅓ avg 15.2%

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

0.16Best rating — overpass 13–10

13–3Biggest win — dust2

5Longest win streak

13–8In matches decided by ≤2 rounds

6Overtime games

Map breakdown

overpassBest map · 80% over 5infernoWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	37	21–16	57%	0.02
mirage	B	28	15–13	54%	-0.00
inferno	D	15	5–10	33%	0.00
nuke	A	5	3–2	60%	-0.01
ancient	C	5	2–3	40%	0.00
overpass	S	5	4–1	80%	0.01
cache	—	3	3–0	100%	0.05
train	—	2	0–2	0%	-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,342Lifetime kills

1.14K/D · Top 50% of Purple band

2,352Matches

43.2%Match win rate

36.1%Headshot %

17.8%Shot accuracy · Top 10% of Purple band

5,194MVPs

862Hours (in match)

1,832Bombs planted

524Bombs defused

Most-used weapons

AK-4712,594

M4A4 / M4A1-S5,928

AWP5,067

Desert Eagle2,300

Tec-91,920

Glock-181,850

SSG 081,802

P2000 / USP-S1,675

PP-Bizon1,433

Five-SeveN1,156

Lifetime map wins

12,277dust2

1,074inferno

938nuke

169office

115train

97cbble

25ar_shoots

17lake

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.

14.6%Headshot accuracy

33.0%Accuracy (enemy spotted)

34.3%Spray accuracy

80.7%Counter-strafing

11.3°Preaim

590msReaction time

29.6%T opening success

56.9%CT opening success

0.53Enemies flashed / flash

10.0%Flash assists

8.25HE damage / grenade

8.48Flashes / 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 14.57% — 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 29.5542% — 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.

33% win rate across 15 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	0.03	14%	29 Jul →
nuke	8–13	-0.05	9%	29 Jul →
dust2	6–13	0.03	18%	29 Jul →
mirage	11–13	-0.02	8%	28 Jul →
inferno	6–13	0.00	11%	27 Jul →
dust2	13–11	0.03	13%	27 Jul →
cache	13–11	0.07	16%	26 Jul →
dust2	13–11	0.12	18%	26 Jul →
mirage	13–10	0.03	10%	25 Jul →
mirage	13–10	-0.04	16%	18 Jul →
mirage	5–13	-0.12	16%	18 Jul →
cache	13–11	0.01	14%	18 Jul →
inferno	5–13	-0.06	13%	18 Jul →
nuke	13–9	0.02	10%	18 Jul →
dust2	13–3	0.03	25%	18 Jul →
dust2	2–13	-0.04	28%	17 Jul →
cache	13–11	0.06	17%	10 Jul →
mirage	13–11	0.00	20%	4 Jul →
mirage	3–13	-0.05	16%	4 Jul →
dust2	13–8	-0.02	14%	4 Jul →
dust2	13–11	0.00	12%	27 Jun →
ancient	7–13	-0.03	21%	27 Jun →
inferno	11–13	-0.01	18%	21 Jun →
ancient	16–13	0.03	9%	21 Jun →
mirage	13–6	0.01	10%	21 Jun →
dust2	13–10	0.03	21%	21 Jun →
ancient	13–6	-0.04	9%	21 Jun →
mirage	3–13	-0.04	19%	20 Jun →
dust2	13–10	0.15	11%	20 Jun →
mirage	11–13	0.03	12%	19 Jun →
mirage	11–13	0.02	26%	19 Jun →
mirage	13–10	-0.02	17%	13 Jun →
inferno	8–13	0.06	13%	7 Jun →
mirage	13–6	-0.04	32%	7 Jun →
mirage	4–13	-0.09	21%	4 Jun →
dust2	9–13	-0.01	24%	4 Jun →
mirage	13–6	0.09	36%	4 Jun →
nuke	16–12	0.05	16%	28 May →
inferno	4–13	-0.03	18%	22 May →
dust2	13–10	0.03	20%	15 May →
mirage	13–6	0.04	30%	15 May →
mirage	13–8	0.04	13%	9 May →
dust2	8–13	0.01	14%	9 May →
dust2	11–13	0.01	11%	1 Mar →
dust2	10–13	0.06	30%	1 Mar →
inferno	9–7	0.01	26%	1 Mar →
dust2	7–13	-0.06	7%	17 Oct →
nuke	13–11	-0.01	12%	8 Sept →
dust2	13–4	0.09	20%	8 Sept →
dust2	9–13	-0.03	19%	8 Sept →
dust2	5–13	-0.09	16%	7 Sept →
mirage	5–13	-0.01	24%	7 Sept →
dust2	6–13	0.00	26%	7 Sept →
mirage	13–5	-0.02	26%	7 Sept →
inferno	13–9	0.08	19%	17 Aug →
inferno	0–13	-0.05	25%	17 Aug →
mirage	5–13	-0.01	13%	17 Aug →
dust2	11–13	0.02	27%	10 Aug →
inferno	13–11	-0.05	16%	10 Aug →
mirage	15–15	-0.02	23%	9 Aug →
overpass	13–7	-0.04	19%	9 Aug →
dust2	6–13	-0.09	9%	2 Aug →
overpass	13–8	0.04	8%	28 Jul →
mirage	13–10	-0.01	8%	28 Jul →
overpass	4–13	-0.06	24%	26 Jul →
nuke	8–13	-0.04	10%	26 Jul →
dust2	13–10	-0.05	10%	26 Jul →
dust2	13–10	-0.02	25%	26 Jul →
dust2	13–7	0.01	14%	26 Jul →
train	8–13	-0.06	14%	25 Jul →
mirage	9–13	-0.02	5%	25 Jul →
dust2	13–10	-0.02	17%	25 Jul →
overpass	13–10	0.16	20%	25 Jul →
mirage	13–11	0.06	9%	25 Jul →
overpass	13–9	-0.05	19%	18 Jul →
dust2	13–9	0.04	21%	13 Jul →
ancient	3–13	-0.01	23%	13 Jul →
train	7–13	-0.02	7%	26 Jun →
dust2	13–11	0.04	24%	26 Jun →
mirage	10–13	-0.00	15%	22 Jun →
dust2	13–7	0.14	24%	22 Jun →
inferno	14–16	0.04	5%	22 Jun →
dust2	10–13	0.11	19%	21 Jun →
mirage	13–10	0.08	11%	21 Jun →
mirage	6–13	0.01	14%	11 Jun →
dust2	13–5	0.06	4%	7 Jun →
inferno	13–11	-0.01	12%	3 Jun →
dust2	13–5	0.06	17%	3 Jun →
mirage	16–13	-0.00	9%	30 May →
dust2	13–5	0.01	23%	30 May →
inferno	8–13	0.03	9%	23 May →
dust2	13–10	0.04	12%	23 May →
inferno	10–13	0.06	19%	18 May →
inferno	7–13	-0.03	8%	18 May →
dust2	15–15	0.03	19%	17 May →
inferno	3–0	-0.02	25%	17 May →
dust2	9–13	0.09	17%	2 May →
mirage	10–1	-0.01	14%	2 May →
dust2	11–13	0.03	20%	9 Mar →
ancient	5–13	0.07	9%	1 Mar →