Sports Club Stats, which I have open
in like seven browser tabs always
-Katie Baker

How are these numbers calculated?

Big Games

How we did last week and who we should root for this week.   Explain

Week of 9/14100.0*Chance wins title100.0*UEFA CL100.0*Serie B100.0*Average seed
Napoli 2 Atalanta 0 +3.2
+6.0
-1.2
+0.8
Inter Milan 1 Juventus 1 +0.3
+0.3
Torino 2 AC Milan 2 +0.1
+0.3
If winner is:HomeDrawAway
Parma vs Roma+0.5+0.2-0.8
+0.4+0.2-0.7
Fiorentina vs Cagliari-0.4+0.3+0.3
-0.4+0.4+0.3
Livorno vs Catania-0.2+0.1+0.2
-0.3+0.3+0.3
Udinese vs Bologna-0.1+0.2+0.1
-0.2+0.3+0.2
Verona vs Sassuolo-0.1+0.1+0.1
-0.2+0.2+0.1
Lazio vs Chievo-0.1+0.1+0.0
-0.1+0.2+0.0
Sampdoria vs Genoa-0.1+0.1+0.0
-0.1+0.1+0.0
If winner is:HomeDrawAway
Week of 9/22100.0*Chance wins title100.0*UEFA CL100.0*Serie B100.0*Average seed
AC Milan vs Napoli-3.9-0.6+6.3
-6.0-0.6+9.4
+0.5-0.1-0.7
-0.6-0.0+0.9
Napoli vs Sassuolo+3.9-2.5-5.4
+6.0-3.7-8.7
-0.5+0.2+0.9
+0.6-0.4-0.9
Sassuolo vs Inter Milan+0.6+0.2-0.8
+0.5+0.2-0.8
Chievo vs Juventus+0.5+0.2-0.8
+0.4+0.2-0.7
Sampdoria vs Roma+0.5+0.2-0.8
+0.4+0.2-0.7
Juventus vs Verona-0.5+0.4+0.6
-0.4+0.4+0.4
Roma vs Lazio-0.5+0.4+0.5
-0.4+0.4+0.4
Atalanta vs Fiorentina+0.3+0.2-0.6
+0.3+0.2-0.6
Inter Milan vs Fiorentina-0.2+0.4-0.0
-0.2+0.4-0.1
Genoa vs Livorno+0.1+0.1-0.3
+0.2+0.1-0.4
Chievo vs Udinese+0.1+0.1-0.3
+0.1+0.2-0.4
Bologna vs AC Milan+0.1+0.1-0.2
+0.2+0.2-0.4
Udinese vs Genoa-0.2+0.1+0.2
-0.3+0.2+0.3
Bologna vs Torino+0.1+0.1-0.2
+0.1+0.2-0.3
Livorno vs Cagliari-0.1+0.2-0.0
-0.1+0.3-0.0
Lazio vs Catania-0.1+0.1+0.1
-0.2+0.2+0.1
Cagliari vs Sampdoria-0.1+0.1+0.0
-0.1+0.2+0.0
Parma vs Atalanta+0.0+0.1-0.1
+0.0+0.1-0.2
Torino vs Verona-0.0+0.1-0.0
-0.1+0.2-0.1
Catania vs Parma+0.0+0.0-0.1
+0.0+0.1-0.1

What If

Chances based on how well Napoli finishes out the regular season.   Explain

100100100100100100100100100100100100100100100100100100100100
If finish:ChanceChance will finish season at seed
TPW-D-Lwins titleUEFA CL1234567891011121314151617181920Serie BCount
100-114YesYes100No120,909*
9929-3-397.8%Yes982No45*
95-98YesYes100No1,474*
9427-4-499.9Yes1000No1,491*
9326-6-3100.0Yes1000No2,930*
9226-5-4100.0Yes1000No5,474*
9125-7-3100.0Yes1000No9,605*
9025-6-4100.0Yes1000No16,924*
8925-5-5100.0Yes1000No29,344*
8824-7-499.9Yes1000No49,528*
8724-6-599.9Yes1000No81,998*
8623-8-499.9Yes1000No132,361*
8523-7-599.9Yes1000No210,305*
8423-6-699.9Yes1000No324,409*
8322-8-599.8Yes1000No494,579*
8222-7-699.8Yes1000No738,814*
8122-6-799.6Yes10000No1,080,404*
8021-8-699.5Yes9910No1,554,945*
7921-7-799.1Yes9910No2,189,760*
7820-9-698.7Yes9910No3,029,248*
7720-8-798.0Yes9820No4,110,846*
7620-7-897.1100.0%97300No5,486,579*
7519-9-795.7100.096400No7,193,453*
7419-8-893.7100.094600No9,259,009*
7318-10-791.0100.0919000No11,706,832*
7218-9-887.4100.08712000No14,549,947*
7118-8-982.7100.08316100No17,769,491*
7017-10-876.899.977212000No21,335,491*
6917-9-969.599.870273000No25,158,976*
6817-8-1060.999.661336000No29,179,732*
6716-10-951.398.95138101000No33,251,650*
6616-9-1041.097.641421520000No37,242,506*
6516-8-1130.894.831432150000No41,028,093*
6415-10-1021.389.921412891000No44,399,845*
6315-9-1113.381.61335331530000No47,242,975*
6214-11-107.469.57273522710000No49,416,754*
6114-10-113.553.831833291330000No50,793,813*
6014-9-121.336.6110253221820000No51,330,799*
5913-11-110.420.90416292815510000No50,976,433*
5813-10-120.19.501821302411300000No49,757,408*
5713-9-130.03.3003122529208200000No47,725,746*
5612-11-120.00.80015152728176100000No44,967,863*
5512-10-130.00.10001617282715510000No41,629,533*
5412-9-14No0.00002719282514410000No37,846,039*
5311-11-13No0.000002820282413410000No33,810,110*
5211-10-14No0.0000029212823123100000.0%29,651,647*
5111-9-15NoNo000031021282311310000.025,517,065*
5010-11-14NoNo000031022282210300000.021,571,144*
4910-10-15NoNo00001311232821920000.017,891,267*
489-12-14NoNo0001413242820820000.214,559,600*
479-11-15NoNo000151426281861001.311,612,795*
469-10-16NoNo000016172827154105.29,092,444*
458-12-15NoNo000028213025112014.06,975,179*
448-11-16NoNo00003122531217128.55,243,287*
438-10-17NoNo0001517313014246.63,859,143*
427-12-16NoNo00029243524664.52,781,623*
417-11-17NoNo000141634331278.91,962,104*
407-10-18NoNo0002928402088.81,355,218*
396-12-17NoNo001521433194.7913,244*
386-11-18NoNo00214424297.7601,514*
376-10-19NoNo0019375499.1387,066*
366-9-20NoNo005316499.7243,309*
355-11-19NoNo003247399.9148,997*
345-10-20NoNo0011881100.088,859*
335-9-21NoNo011386100.051,863*
324-11-20NoNo00991100.029,128*
314-10-21NoNo0694Yes15,907*
304-9-22NoNo0496Yes8,730*
293-11-21NoNo298Yes4,391*
283-10-22NoNo199Yes2,193*
273-9-23NoNo199Yes1,023*
263-8-24NoNo0100Yes510*
9-25NoNo100Yes121,240*
Total:19.7%45.3%201411987654332221111001.2%971,934,960

* Row combines multiple less frequent records.

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