BigManJohn00 — CS2 Stats

AF76561198107895074[U:1:147629346]Steam profile ↗✓ No bans

1,171Tracked matches43%Win rate2020Tracked since

4,461Hours in CS18Hrs last 2 wks

CSDB Rating4.5 Developing

Premier CS Rating16,018Purple band · top ~24.3% of ranked players (population est.)

CSDB Leaderboard#9177 of 14832 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim59

Positioning53

Utility24

0–100 skill scores via Leetify.

Recent form

COLD43–53–4Last 10043%Win rateLLLLLLWLLW

Last 10 vs previous 10: -40pp win rate · +0.02 avg rating

Player DNA

Aim5.9

Aggression7.5

Utility2.4

Positioning5.3

Opening Duels3.3

Clutch3.8

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 ropz 82% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 618ms 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

Aim5.9

Positioning5.3

Utility2.4

Mechanics4.7

Opening Duels3.3

Win Impact2.8

Composite 4.5/10 (Developing), 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 rating0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg 0.00

Reaction time631ms+31ms

first ⅓ avg 599ms → last ⅓ avg 631ms

Headshot accuracy27.1%+5.0%

first ⅓ avg 22.1% → last ⅓ avg 27.1%

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

0.14Best rating — ancient 13–9

13–1Biggest win — mirage

3Longest win streak

L6Current streak

10–8In matches decided by ≤2 rounds

9Overtime games

Map breakdown

infernoBest map · 50% over 10nukeWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	19	9–10	47%	0.02
ancient	C	18	7–11	39%	0.01
dust2	C	18	8–10	44%	0.01
cache	B	13	6–7	46%	-0.00
nuke	D	11	3–8	27%	0.01
inferno	B	10	5–5	50%	0.00
anubis	B	6	3–3	50%	-0.01
train	—	3	1–2	33%	-0.05
fachwerk	—	1	0–1	0%	0.10
overpass	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

118,336Lifetime kills

0.94K/D

6,002Matches

49.3%Match win rate · Top 50% of tracked players

46.0%Headshot %

15.3%Shot accuracy · Top 50% of tracked players

17,474MVPs

2,510Hours (in match)

7,460Bombs planted

1,465Bombs defused

Most-used weapons

AK-4730,413

M4A4 / M4A1-S15,583

AWP13,079

P2000 / USP-S7,748

P2506,812

P906,781

Glock-185,947

Desert Eagle5,106

MAC-103,411

Negev3,037

Lifetime map wins

7,398inferno

7,088dust2

3,153cbble

2,590train

1,700nuke

1,121vertigo

657lake

209office

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

Faceit stats

Combat

254Matches

55%Win rate

1.02Avg K/D

78.7ADR

45%Headshot %

Clutches & streaks

39%1v1 clutch win

22%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	22	55%	0.94	16.6
Dust2	18	44%	0.98	13.8
Ancient	11	73%	1.15	16.6
Anubis	6	50%	0.76	11.3
Cache	6	33%	0.70	11.7
Inferno	4	50%	1.05	14.8
Nuke	4	50%	1.04	15.3
Overpass	3	100%	1.10	17.7

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.

27.0%Headshot accuracy

30.1%Accuracy (enemy spotted)

31.9%Spray accuracy

71.3%Counter-strafing

10.6°Preaim

618msReaction time

37.6%T opening success

49.2%CT opening success

0.38Enemies flashed / flash

4.1%Flash assists

5.39HE damage / grenade

8.31Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3765 — below the 0.5 mark we flag
Grenade Lineups →
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 37.5513% — below the 40% mark we flag

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.

27% win rate across 11 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
ancient	4–13	-0.04	24%	26 Aug →
inferno	5–13	0.05	25%	26 Aug →
ancient	4–13	-0.07	11%	25 Aug →
train	3–13	-0.02	26%	19 Aug →
anubis	8–13	0.04	23%	18 Aug →
train	10–13	-0.05	19%	17 Aug →
ancient	13–9	0.14	43%	16 Aug →
mirage	1–3	0.11	50%	15 Aug →
cache	1–13	-0.05	36%	15 Aug →
anubis	13–6	0.01	28%	15 Aug →
cache	13–5	-0.03	25%	14 Aug →
cache	3–13	-0.03	25%	14 Aug →
inferno	13–9	-0.00	37%	13 Aug →
mirage	13–8	-0.02	50%	13 Aug →
train	13–11	-0.07	29%	8 Aug →
mirage	4–13	-0.04	35%	8 Aug →
ancient	2–13	-0.01	27%	8 Aug →
mirage	9–13	0.07	28%	3 Aug →
ancient	13–5	0.08	24%	3 Aug →
mirage	13–6	-0.04	22%	3 Aug →
dust2	12–16	0.05	23%	3 Aug →
inferno	13–3	0.04	29%	3 Aug →
cache	1–13	-0.03	38%	3 Aug →
dust2	13–8	0.03	20%	3 Aug →
nuke	7–13	0.02	31%	1 Aug →
anubis	2–13	-0.03	10%	1 Aug →
mirage	16–13	0.04	24%	1 Aug →
dust2	13–8	0.06	24%	31 Jul →
dust2	13–8	-0.00	18%	31 Jul →
mirage	4–13	-0.07	25%	31 Jul →
dust2	13–11	0.00	20%	29 Jul →
anubis	13–11	-0.04	28%	29 Jul →
anubis	11–13	-0.05	18%	29 Jul →
cache	13–5	0.03	26%	29 Jul →
mirage	11–13	0.02	16%	29 Jul →
cache	10–13	-0.02	14%	28 Jul →
mirage	13–1	0.14	27%	28 Jul →
anubis	13–7	0.03	36%	28 Jul →
inferno	13–9	0.05	34%	26 Jul →
cache	10–13	-0.03	26%	26 Jul →
inferno	13–5	-0.05	19%	26 Jul →
ancient	13–11	0.02	14%	25 Jul →
cache	7–13	0.00	26%	24 Jul →
nuke	5–13	0.03	20%	23 Jul →
mirage	13–8	-0.00	19%	22 Jul →
ancient	13–11	0.02	17%	20 Jul →
dust2	13–10	0.02	11%	19 Jul →
nuke	7–13	0.01	26%	18 Jul →
ancient	9–13	0.01	28%	18 Jul →
mirage	13–9	-0.00	23%	18 Jul →
inferno	13–16	-0.08	17%	18 Jul →
nuke	15–15	-0.02	17%	17 Jul →
dust2	13–9	0.04	26%	17 Jul →
cache	13–11	-0.01	20%	15 Jul →
cache	13–6	0.04	26%	14 Jul →
mirage	11–13	-0.01	24%	14 Jul →
inferno	1–13	0.04	18%	13 Jul →
cache	9–13	0.09	26%	11 Jul →
ancient	9–13	0.02	28%	10 Jul →
nuke	13–16	0.00	20%	10 Jul →
dust2	11–13	-0.02	19%	10 Jul →
fachwerk	12–12	0.10	32%	9 Jul →
dust2	11–13	0.03	32%	9 Jul →
mirage	10–13	0.09	27%	9 Jul →
cache	13–9	0.02	18%	9 Jul →
mirage	11–13	0.02	17%	8 Jul →
dust2	15–15	-0.02	24%	5 Jul →
inferno	4–9	-0.01	53%	5 Jul →
dust2	7–13	-0.07	21%	5 Jul →
ancient	4–10	0.00	0%	4 Jul →
ancient	5–13	-0.03	18%	3 Jul →
ancient	13–8	-0.00	19%	1 Jul →
nuke	16–14	0.06	11%	1 Jul →
dust2	5–13	-0.04	26%	29 Jun →
mirage	13–6	-0.02	27%	29 Jun →
ancient	7–13	-0.02	26%	29 Jun →
dust2	13–10	0.08	24%	29 Jun →
dust2	1–7	0.00	0%	28 Jun →
dust2	9–13	0.02	12%	28 Jun →
dust2	2–13	-0.09	15%	28 Jun →
nuke	4–9	-0.07	7%	27 Jun →
mirage	16–14	0.05	20%	27 Jun →
ancient	8–13	-0.05	19%	26 Jun →
overpass	13–9	0.06	33%	25 Jun →
mirage	13–11	-0.01	21%	22 Jun →
ancient	10–13	-0.04	22%	21 Jun →
inferno	13–5	-0.02	18%	21 Jun →
nuke	11–13	0.04	35%	20 Jun →
ancient	13–2	0.07	31%	20 Jun →
mirage	2–13	0.04	24%	20 Jun →
ancient	12–12	0.08	33%	20 Jun →
dust2	16–12	0.07	21%	19 Jun →
inferno	9–13	0.03	30%	19 Jun →
dust2	7–13	0.00	0%	19 Jun →
nuke	13–5	-0.05	15%	19 Jun →
nuke	8–13	0.01	24%	18 Jun →
mirage	8–13	0.03	32%	18 Jun →
cache	13–6	-0.02	33%	18 Jun →
nuke	13–10	0.05	35%	15 Jun →
ancient	13–11	-0.01	26%	14 Jun →