I don't have a lot of examples because I have just started making some, but here are a few for you:

(Keep in mind that a game quality of 0.5 is the cutoff here for a game to be considered)

A "Search" is a party of players that is searching for a game. the "pX" are the player names, so you can see how many players there are in the search. The number at the end is the average rating of that search party. The game quality uses the formula that I explained in my previous post.

```
team a: [Search(['p12'], 842), Search(['p15'], 738), Search(['p1', 'p2'], 781)] cumulated rating: 3142 average rating: 785.5
team b: [Search(['p11'], 745), Search(['p5', 'p6'], 788), Search(['p16'], 816)] cumulated rating: 3137 average rating: 784.25
bonuses: 0.0 rating disparity: 5 -> fairness: 0.9916666666666667 deviation: 44.917806881013234 -> uniformity: 0.8502739770632892 -> game quality: 0.8431883605877618
team a: [Search(['p5', 'p6'], 788), Search(['p16'], 816), Search(['p13'], 971)] cumulated rating: 3363 average rating: 840.75
team b: [Search(['p1', 'p2'], 781), Search(['p12'], 842), Search(['p17'], 951)] cumulated rating: 3355 average rating: 838.75
bonuses: 0.0 rating disparity: 8 -> fairness: 0.9866666666666667 deviation: 79.45399612354309 -> uniformity: 0.7351533462548563 -> game quality: 0.7253513016381249
team a: [Search(['p3', 'p4'], 1004.5), Search(['p17'], 951), Search(['p16'], 816)] cumulated rating: 3776 average rating: 944
team b: [Search(['p13'], 971), Search(['p12'], 842), Search(['p5', 'p6'], 788)] cumulated rating: 3389 average rating: 847.25
bonuses: 0.0 rating disparity: 387 -> fairness: 0.355 deviation: 92.79134859996378 -> uniformity: 0.6906955046667874 -> game quality: 0.24519690415670953
team a: [Search(['p7', 'p8', 'p9'], 1011.3333333333334), Search(['p12'], 842)] cumulated rating: 3876 average rating: 969
team b: [Search(['p13'], 971), Search(['p3', 'p4'], 1004.5), Search(['p17'], 951)] cumulated rating: 3931 average rating: 982.75
bonuses: 0.0 rating disparity: 55 -> fairness: 0.9083333333333333 deviation: 67.96035149261664 -> uniformity: 0.7734654950246113 -> game quality: 0.7025644913140219
team a: [Search(['p7', 'p8', 'p9'], 1011.3333333333334), Search(['p11'], 745)] cumulated rating: 3779 average rating: 944.75
team b: [Search(['p10'], 1047), Search(['p15'], 738), Search(['p14'], 1032), Search(['p13'], 971)] cumulated rating: 3788 average rating: 947
bonuses: 0.0 rating disparity: 9 -> fairness: 0.985 deviation: 125.21026066181636 -> uniformity: 0.5826324644606121 -> game quality: 0.5738929774937029
team a: [Search(['p7', 'p8', 'p9'], 925.3333333333334), Search(['p15'], 1328)] cumulated rating: 4104 average rating: 1026
team b: [Search(['p13'], 1115), Search(['p16'], 1231), Search(['p3', 'p4'], 998)] cumulated rating: 4342 average rating: 1085.5
bonuses: 0.0 rating disparity: 238 -> fairness: 0.6033333333333334 deviation: 152.77004778424336 -> uniformity: 0.4907665073858555 -> game quality: 0.2960957927894662
team a: [Search(['p7', 'p8', 'p9'], 925.3333333333334), Search(['p13'], 1115)] cumulated rating: 3891 average rating: 972.75
team b: [Search(['p3', 'p4'], 998), Search(['p5', 'p6'], 918.5)] cumulated rating: 3833 average rating: 958.25
bonuses: 0.0 rating disparity: 58 -> fairness: 0.9033333333333333 deviation: 84.13976467758869 -> uniformity: 0.719534117741371 -> game quality: 0.6499791530263718
team a: [Search(['p7', 'p8', 'p9'], 925.3333333333334), Search(['p12'], 846)] cumulated rating: 3622 average rating: 905.5
team b: [Search(['p5', 'p6'], 918.5), Search(['p1', 'p2'], 810.5)] cumulated rating: 3458 average rating: 864.5
bonuses: 0.0 rating disparity: 164 -> fairness: 0.7266666666666667 deviation: 79.85612061701971 -> uniformity: 0.733812931276601 -> game quality: 0.5332373967276633
```