Top variables that correlate with Runs scored by the New York Mets

← Discover a correlation

A linear line chart

Data source: Baseball-Reference.com
Report an error

Runs scored by the New York Mets correlates with...

Variable	Correlation	Years	Has img?
Annual US household spending on clothin for women	r=0.85	23yrs	No
Annual US household spending on clothing for men	r=0.82	23yrs	No
Total Runs Scored by Chicago Cubs Team in National League (Central and East Division)	r=0.77	48yrs	Yes!

Runs scored by the New York Mets also correlates with...

Variable	Correlation	Years	Sys. Score
Annual US household spending on clothing	r=0.85	23yrs	356
Liquefied petroleum gas used in Central African Republic	r=0.85	14yrs	276
Home Run Count for the Texas Rangers Team	r=0.61	48yrs	220
New York Yankees' victories	r=0.58	48yrs	186
NCAA Men's Skiing champion's points	r=0.55	48yrs	182
US household spending on public transportation	r=0.71	23yrs	180
Popularity of the first name Keeley	r=0.51	48yrs	174
Popularity of the first name Malorie	r=0.51	47yrs	173
Google searches for 'how to cut own hair'	r=-0.88	20yrs	170
Google searches for 'where to buy toilet paper'	r=-0.86	20yrs	168
Popularity of the first name Mallory	r=0.47	48yrs	168
Google searches for 'n95 mask'	r=-0.84	19yrs	166
How cool Technology Connections YouTube video titles are	r=0.74	9yrs	162
Number of Miss World delegates	r=0.53	47yrs	158
Associates degrees awarded in Dental assisting	r=0.71	11yrs	155
Miss World's Age	r=0.5	48yrs	154
Load Factor of US Carrier Flights	r=0.64	20yrs	152
Nuclear power generation in Belgium	r=0.52	42yrs	152
Jet fuel used in Greece	r=0.53	43yrs	152
How fun 'Be Smart' science YouTube video titles are	r=0.65	11yrs	150
How nerdy Numberphile YouTube video titles are	r=0.6	13yrs	145
Popularity of the 'like a boss' meme	r=-0.83	18yrs	140
China's Rare Earth Element Export Volume	r=0.75	11yrs	136
US household spending on alcoholic beverages	r=0.51	23yrs	136
US household spending on personal care products and services	r=0.51	23yrs	136
The marriage rate in New York	r=0.67	23yrs	134
US average milk-fat content of cottage cheese	r=0.52	22yrs	133
Total annual cinema attendance in the UK	r=0.62	22yrs	131
The number of garbage collectors in New York	r=0.63	19yrs	131
The number of movies Jonah Hill appeared in	r=0.45	20yrs	131
Passenger traffic at Hartsfield-Jackson Atlanta International Airport	r=0.57	23yrs	130
Global iPod Sales	r=0.69	9yrs	130
Visitors to SeaWorld California	r=0.76	15yrs	130
British Open Golf Championship winner's score	r=0.53	48yrs	128
US Employment Rate	r=0.53	33yrs	128
Worldwide revenue from Harley Davidson motorcycles	r=0.68	13yrs	128
The number of database administrators in New York	r=0.63	18yrs	128
Highway diesel consumption in US	r=0.47	20yrs	124
Popularity of the first name Shea	r=0.46	48yrs	122
Visitors to Disney Worlds Magic Kingdom	r=0.74	15yrs	122
Visitors to Disneyland	r=0.74	15yrs	122
Number of times Garfield eats lasagna in his comic strip	r=0.54	11yrs	122
The number of cashiers in New York	r=0.57	20yrs	121
Jet fuel used in United States	r=0.52	43yrs	120
The number of movies John Boyega appeared in	r=0.47	13yrs	117
Popularity of the first name Kalli	r=0.46	48yrs	112
The divorce rate in New York	r=0.61	23yrs	112
Yearly peak of NYSE composite index	r=0.57	13yrs	111
Detroit Tigers' number of lost games in a specific season of the American League	r=0.47	48yrs	110
How clickbait-y minutephysics YouTube video titles are	r=0.57	13yrs	110
Gasoline pumped in Iceland	r=0.5	43yrs	108
Popularity of the first name Savanna	r=0.45	48yrs	100
How geeky OverSimplified YouTube video titles are	r=0.64	7yrs	95
Liquefied petroleum gas used in Germany, West	r=0.79	11yrs	94
Number of Grand Slam Finals played by Roger Federer	r=0.74	13yrs	92
Popularity of the first name Brock	r=0.45	48yrs	90
The number of automotive body repairers in New York	r=0.55	20yrs	88
Popularity of the first name Cordell	r=0.45	48yrs	80
How geeky Deep Look YouTube video titles are	r=0.59	10yrs	80
Jet fuel used in Germany, West	r=0.73	11yrs	75
The number of payroll and timekeeping clerks in New York	r=0.51	20yrs	72
Popularity of the first name Ulysses	r=0.45	48yrs	70
US Motorcycle Manufacturing Industry Revenue	r=0.63	12yrs	70
How 'hip and with it' Vihart's YouTube video titles are	r=-0.77	15yrs	69
Number of games won by Miami Marlins in the National League (East Division)	r=0.55	30yrs	68
Nuclear power generation in Sweden	r=0.49	42yrs	63
UK Music Album Sales	r=0.59	14yrs	63
The number of tire repairers and changers in New York	r=0.51	20yrs	62
Popularity of the first name Carrington	r=0.46	47yrs	60
How nerdy OverSimplified YouTube video titles are	r=0.6	7yrs	59
LeBron James' field goal count	r=0.59	20yrs	54
Fossil fuel use in Czechia	r=0.55	29yrs	49
Unemployment in the US	r=-0.5	48yrs	49
The number of insurance claims adjusters in New York	r=0.47	20yrs	48
How professional-sounding CGP Grey YouTube video titles are	r=0.54	13yrs	46
Liquefied petroleum gas used in Germany, East	r=0.69	11yrs	39
How insightful Technology Connections YouTube video titles are	r=0.56	9yrs	35
Lukas Podolski's yearly international goals for Germany national team	r=0.57	14yrs	35
Jet fuel used in Hungary	r=0.49	40yrs	28
How professional-sounding Technology Connections YouTube video titles are	r=0.56	9yrs	25
Liquefied petroleum gas used in Japan	r=0.47	43yrs	18
How clickbait-y Numberphile YouTube video titles are	r=0.52	13yrs	13
Liquefied petroleum gas used in Austria	r=0.46	43yrs	6
How geeky minutephysics YouTube video titles are	r=0.5	13yrs	0
Liquefied petroleum gas used in Italy	r=0.46	43yrs	-4
Average views of 3Blue1Brown YouTube videos	r=0.53	9yrs	-10
Jet fuel used in Denmark	r=0.45	43yrs	-15
How cool CGP Grey YouTube video titles are	r=0.5	13yrs	-20
Petroluem consumption in Slovenia	r=0.52	31yrs	-26
How nerdy Deep Look YouTube video titles are	r=0.49	10yrs	-34
Petroluem consumption in Syria	r=0.45	42yrs	-36
How provocative MinuteEarth YouTube video titles are	r=0.48	11yrs	-45
Gasoline pumped in Germany, East	r=0.64	11yrs	-48
How provocative Numberphile YouTube video titles are	r=0.46	13yrs	-56
Gasoline pumped in Croatia	r=0.51	30yrs	-59
How professional-sounding Computerphile YouTube video titles are	r=0.47	11yrs	-66
Fossil fuel use in Germany	r=0.48	31yrs	-70
How provocative LEMMiNO YouTube video titles are	r=0.46	12yrs	-77

Loading...!

<< Back to discover a correlation

^{What is Sys. Score?} You caught me! While it would be intuitive to sort only by "correlation," I have a big, weird database. If I sort only by correlation, often all the top results are from some one or two very large datasets (like the weather or labor statistics), and it overwhelms the page.

I can't show you *all* the correlations, because my database would get too large and this page would take a very long time to load. Instead I opt to show you a subset, and I sort them by a magic system score. It starts with the correlation, but penalizes variables that repeat from the same dataset. (It also gives a bonus to variables I happen to find interesting.)


Issue:
Additional details: Optional
Confirm you are a human: