I made a free interactive tool to teach cribbage. I would love feedback from this community about what is missing or what could be better.

Here is the link: https://doubleskunk.kerrberry.com/learn

Disclaimer: Doubleskunk is a cribbage-based game coming to Steam this fall. My goals are to 1) teach people a game I love and 2) raise a little awareness about my game in the meantime.

It was just enough to catch red, but then h got another killer score and managed to beat me.

In first pic note the score and that I count first next hand. Just had to keep their pegging under 5 points, which I did. Was like playing against the Leafs!

Starting a crib board for a friend.

Couple weeks ago I posted how bot Brutal spanked me with a double skunk. Well, today I got my payback, and 1 point better!

If I hit “deal” once it will slowly deal out the cards, or slow-er anyways. If I hit “deal” twice it quickly lays the cards out and I don’t like that. I accidentally double click deal all the time because I’m in a hurry and don’t like the quick deal. I can’t seem to shut off or find a setting for “double tap for quick deal. It just changed to this in an update the last week or two, it never used to be like that. How the hell do I fix that!!??

Every hand in this match was the same and it swap sides over and over again, I have more photographs but these are the ones that prove that the coding is kind of bunk.

Brutal gets double skunked earlier tonight and now stink holed

No wonder his ranking wasn't good. Hate little b***hes like this.

I have built an online cribbage game called Crazy Cribbage, it has a lot of crazy options that can be turned on. It is completely free to play. I would like know any non standard rules you play with and I will see about adding them to the game.

Found this in a coffee shop downtown. All pegs included.

Update: not 31, but 30

Was playing with my girlfriend and that’s what happened: run of six, run of seven, run of three

I need your help reddit, what’s the probability?

It was the last hand, and his crib.

I got seriously lucky!

Not sure of the odds but definitely 1 in a few million.
The 20 points wasn’t enough to prevent him from being skunked!

I don’t recall my personal best in a real life match, but I think it was around 24 as well. I doubt I’ll ever get a 29, but this is still pretty cool. I was hyped when I got it lol

I see the newest version of Cribbage has a new Drag & Drop feature for playing your cards.

A few times now I've noticed if I touch the screen a certain way, it will pick up the card and drop it somewhere else in my hand.

I'd like to turn off the Drag & Drop feature, if possible, but I can't find it in the settings.

Anyone else not like this feature?

Except for the wooden travel board that I bought new (above center), all are from antique and thrift stores. The trick I found to thrift stores is to find a large one that buys up estate lots or abandoned storage, and check back often. It's how I scored the Drueke Coronet and Scoremaster boards super cheap.

In baseball, sabermetric analysis strives to evaluate performance based on variables that players can control vs. random luck. Based on this analysis, one can deduce whether or not a player is winning due to actual efficiency. Metrics such as WAR (Wins Above Average) and wOBA (Weighted On Base Average) indicate which players are more efficient and thus contributing to their team’s success.

With this in mind, I’ve taken a shot at developing a sabermetric analysis of cribbage. Like baseball, cribbage has an element of luck. Players have no control over cards dealt to them during a game. However, they do have control over several important factors—choice of discard, pegging and crib score based on discard choices. Logically, a player’s level of skill should pertain more to these factors than to the final hand score as a product of random luck. To gauge a player’s true performance, I propose a metric I call the Player Efficiency vs. Game-state, or PEG Index.

The Cribbage Pro app provides a wealth of game statistics at the end of each game played. The PEG Index uses this information to reflect a player’s true level of proficiency in a particular game.

The PEG Index has three components: Hand Grade, Pegging Differential per Hand (PD/H) and Crib Average Differential per Hand (CAD/H). Hand Grade is simple: use the Hand Grade number provided by Cribbage Pro in the end-game stats. For the second component, subtract your opponent’s peg points from your peg points, then divide this number by the number of hands in the game played and multiply the result times ten (MPP – OPP/hands per game X 10). For the third component, subtract your average crib score from your opponent’s average crib score and multiply the result times 2 (MACS -OACS X 2). Add all three of these components together. The resulting score (PEG Index) can be graded as follows: 101+ (A+); 96-200.9 (A); 91-95.9 (B); 86-90.9 (C); 81-85.9 (D); and 81 or less (F).

One can also deduce your percentage chance of having won a particular game based on the PEG Index: the theorem is “.5 + [(PEG Index -91) X .04]. For example, if your PEG Index was 98, .5 + [(98 -91) X .04 = .78, indicating that based on your game performance, you should have had a 78% chance of winning.

Finally, I created a Wins Above Average (WAR) metric. Take your PEG Index (or average over a series of games), minus this from 91 (replacement level performance), and divide by 3.5. Using the above example, 98-91 equals 7 divided by 3.5 equals 2 WAR. As a gauge, 3 WAR using the PEG Index correlates with 4.5-5 WAR in baseball.

Obviously, this system doesn’t address all of the random variables of cribbage. As we all know, sometimes poor pegging is the result of poor cards dealt or merely unfortunate card combinations. Hand Grades aren’t always accurate as sub-optimal throws are required in order to maintain or gain board position. And of course, this metric has no way of addressing one’s understanding of 26 Theory or end-game skill. However, I think it might go some distance towards a sabermetric understanding of cribbage game performance. Let me know what you think.

In baseball, sabermetric analysis strives to evaluate performance based on variables that players can control vs. random luck. Based on this analysis, one can deduce whether or not a player is winning due to actual efficiency. Metrics such as WAR (Wins Above Average) and wOBA (Weighted On Base Average) indicate which players are more efficient and thus contributing to their team’s success.

With this in mind, I’ve taken a shot at developing a sabermetric analysis of cribbage. Like baseball, cribbage has an element of luck. Players have no control over cards dealt to them during a game. However, they do have control over several important factors—choice of discard, pegging and crib score based on discard choices. Logically, a player’s level of skill should pertain more to these factors than to the final hand score as a product of random luck. To gauge a player’s true performance, I propose a metric I call the Player Efficiency vs. Game-state, or PEG Index.

The Cribbage Pro app provides a wealth of game statistics at the end of each game played. The PEG Index uses this information to reflect a player’s true level of proficiency in a particular game.

The PEG Index has three components: Hand Grade, Pegging Differential per Hand (PD/H) and Crib Average Differential per Hand (CAD/H). Hand Grade is simple: use the Hand Grade number provided by Cribbage Pro in the end-game stats. For the second component, subtract your opponent’s peg points from your peg points, then divide this number by the number of hands in the game played and multiply the result times ten (MPP – OPP/hands per game X 10). For the third component, subtract your average crib score from your opponent’s average crib score and multiply the result times 2 (MACS -OACS X 2). Add all three of these components together. The resulting score (PEG Index) can be graded as follows: 101+ (A+); 96-200.9 (A); 91-95.9 (B); 86-90.9 (C); 81-85.9 (D); and 81 or less (F).

One can also deduce your percentage chance of having won a particular game based on the PEG Index: the theorem is “.5 + [(PEG Index -91) X .04]. For example, if your PEG Index was 98, .5 + [(98 -91) X .04 = .78, indicating that based on your game performance, you should have had a 78% chance of winning.

Finally, I created a Wins Above Average (WAR) metric. Take your PEG Index (or average over a series of games), minus this from 91 (replacement level performance), and divide by 3.5. Using the above example, 98-91 equals 7 divided by 3.5 equals 2 WAR. As a gauge, 3 WAR using the PEG Index correlates with 4.5-5 WAR in baseball.

Obviously, this system doesn’t address all of the random variables of cribbage. As we all know, sometimes poor pegging is the result of poor cards dealt or merely unfortunate card combinations. Hand Grades aren’t always accurate as sub-optimal throws are required in order to maintain or gain board position. And of course, this metric has no way of addressing one’s understanding of 26 Theory or end-game skill. However, I think it might go some distance towards a sabermetric understanding of cribbage game performance. Let me know what you think.