100 Games of X-Wing

On New Year’s Eve at the end of 2017, I decided that I wanted to improve my X-Wing gaming, with the resolution goal of making Top 8 at a Regional in Australia, in order to get some sparkly dice (mission accomplished in Tasmania, thanks to an effort described by the Onyx Squadron 2m:40s into this video as pulling a Steven Bradbury all the way into second place).

In order to track my progress throughout the year, I decided to start collecting data from all the games of X-Wing that I play.

Last night was a small monthly tournament at one of our local game shops, with the tournament winning game also marking the 100th game of X-Wing I have played so far this year, so I thought I would share some of the data I have collected and insights I have gained from it.

The Data

I have been collecting data on all my games since the beginning of the year, which I have been entering into a spreadsheet so I can track and analyse it. The data I have been collecting includes the following:

  • The date the game was played.
  • The location it was played at.
  • The type of game (Casual or Tournament, I have not broken down tournaments into different tiers like Regional or Store, but I might add that later).
  • My faction and the list I played (not a complete list, just the ships/pilots, e.g. Dengar/Asajj).
  • My opponents name, their faction, and their list.
  • The result (Win, Loss, or Final Salvo)
  • My MoV, and their MoV, and the difference.

I’ll be looking at some of the different ways that the collected data can be analysed in the following sections.

Win/Loss Information

I’ve been following the stories of PhilGC on his blog suchanxwinghipster, where he has been documenting his progress towards a goal of hitting a win/loss ratio of 67% in order to be more confident of regularly making the cut at events. I wish I could say I am doing as well as him in this quest, this is what my current stats for the year look like:

You can see above that I’m currently hitting a ratio of 60% overall for my games of X-Wing this year. That’s not bad considering some of the stuff that I play (see later), however a more relevant and important statistic would be to look at how this breaks down only in Tournament games…

Unfortunately my tournament ratio is not as high as my overall ratio, with only 54% wins, 58% if you include the two times that my tournament games have been decided by final salvo (which I both won!).

Talking of final salvos, both of those games were when I was flying Dengar and Asajj, with the first occurrence happening against a player flying Asajj and Bossk (76:76 MoV), and the second against a player flying Kylo, Omega Leader, and Duchess (52:52 MoV). Both games went to time, which is unusual for me.

In casual games, my win ratio is 62%, which is interesting given the difference in how I approach tournaments vs casual games.

MoV and Going to Time

Of the 50 tournament games I have played, there is some information that can be gained through looking at the MoV results:

  • Of the games I have won, only 4 of them have been where I have killed less than 100 points (4 games out of 29, including the two final salvo games)
  • Of the games I have lost, only 3 of them have been where I have lost less than the full 100 points (3 out of 21)
  • 12 of the 50 games have been 100:0 wins (7) or 0:100 losses (5)

This means that only 14% of my tournament games are going to time! Having such a low percentage of games going to time means that generally in tournaments I get a little bit of a break to relax, get a drink, and get set ready to go for the next game. I know some of my teammates don’t have anywhere near the same experience of this, and it means that their tournament experience is probably a lot more tiring.

If we have a look at the MoV difference for games I have won broken down by quartiles (I have included a special category for 100:0 wins), it’s interesting to see that there are 0 times I have won with an MoV difference of between 76-99. There is a big representation in the 51-75 point range though, so overall with 17 to 12 it’s clear that when I win, I usually do so by more than 50 points.

Conversely the MoV difference when I lose paints the opposite picture. With a ratio of 14 games where the MoV difference was 51-100 points when I lost compared to only 7 where it was between 0-50 points, it’s clear than when I lose, I tend to lose big. This means that I should play a bit more defensively sometimes, even at the risk of making games go to time, to prevent the loss of MoV in order to improve my standing within the bracket of people with the same win/loss count as me in a tournament.

My Lists

Below is a breakdown of the lists that I fly in relation to the faction they belong to, and the type of game:

Some interesting information from this graph:

  • I have played exactly 50 casual games and 50 tournament games this year.
  • I play hardly any Imperial lists in tournaments.
  • I play a lot fewer Scum lists in casual than I do in tournaments.


When it comes to tournaments, I usually stick to a specific list for a while, because I want to get enough experience with it to really know how to use it well. This is especially true in the leadup to events like Regionals, where I will try and use a specific list in a few local store tournaments to get experience against other players and lists. Due to this, I have only flown 4 different lists in all the tournaments I have taken part in so far this year:

  • Dengar/Asajj – 28 games total, 54% win ratio, including the two final salvo wins.
  • Rey/Lowhhrick – 16 games total, 69% win ratio. This is the list I am currently flying since the beginning of April, and took it to the Victorian Regionals.
  • RAClo/Inquisitor – 3 games in one local tournament, 67% win ratio.
  • Opening Scene – 3 games in one local tournament, 33% win ratio.

As a side note, the Opening Scene list above that I took to one local tournament includes:

  • Poe (VI, R2-D2, Black One, Autothrusters, Advanced Optics).
  • Crimson Specialist in a B/SF-17 Bomber (Trajectory Simulator, Bomblet Generator, Advanced Optics, and Deflective Plating).
  • Green Squadron A-Wing (Juke, Refit, Test Pilot, Snap Shot, Autothrusters).

This was a list I took to a store tournament in the week or so after the Tasmanian Regionals, because I was a little bit over flying Dengar/Asajj so much so I thought I would fly something different, and I already had enough Omicron Group Pilot alt-art cards which were the prizes that day. The list is named after the opening scene of The Last Jedi, and it plays out pretty much exactly like the movie, with the bomber killing itself (to the point I call the upgrade Defective Plating!) and the A-Wing being shot to pieces, leaving Poe to do all he can to try and blow stuff up. As you can see with the above stats, it didn’t turn out too well for the rebellion that day.


As opposed to my tournament lists, when I’m playing casual games I am much more likely to fly all kinds of things. Of the 50 casual games I have played, I have taken 18 different lists. Of these 18 lists, only 3 of them have I ever flown 5 or more times (Dengar/Asajj to get some extra practice before the Tasmanian Regional, Quickdraw/Countess Ryad/Duchess, and the Dash/Poe Plot Armour).

By List

Given I have played a lot of lists, I thought I would look at the top 5 by win ratio to see if there is anything interesting:

List Lost Win Total Win Ratio
PS11 Han/Poe 0 3 3 100%
Quickdraw/Ryad/Palpmobile 0 2 2 100%
Vessery/Ryad/Duchess 1 3 4 75%
Norra/Rey 1 3 4 75%
Rey/Lowhhrick 5 13 18 72%

On the whole not a lot can be concluded from the above given most have less than 5 plays each, but Rey/Lowhhrick has been pretty successful overall for me so far this year. Maybe I should play Imperials some more?

One note though, I have played the Han/Poe list a fair bit last year and I wasn’t as successful with it then, but I wasn’t collecting data for it at that stage. I have tried to play Poe again recently alongside Dash, to mostly disastrous results particularly wherever Harpoon Missiles are involved, having only won 3 out of the 7 games played.

By Pilot

Another interesting way to break down the information is to look at win ratios by pilot, to see if there are any specific pilots that might be contributing to the results in unexpected ways. I thought I would break it down by the more popular pilots that people are playing at the moment:

Pilot Played Won Ratio
Quickdraw 9 7 78%
Countess Ryad 12 9 75%
Rey 26 17 65%
Rear Admiral Chiraneau 5 3 60%
Asajj 33 19 58%
Poe 17 9 53%
Lothal Rebel 3 1 33%
Miranda 1 0 0%

This information leads me to a few thoughts or conclusions based on what I know about the way I play:

  • I’m pretty terrible at pilots that really shine when they can stay out at range 3 and wear the opponent down.┬á This includes Miranda, Dash, Poe (I tend to joust way too much with him), and the Ghost.
  • I’m pretty good with jousters or pilots that like to get in there and smash face, including Rey, Ryad, and to a certain extent Quickdraw. Frontal assault is my play style.
  • Maybe I should play Imperials more? I seem to have pretty good success with the top meta Imperial pilots at the moment…

My Opponents

The information about my opponents is also interesting:

  • Of the 100 total games I have played this year, I have faced 44 different opponents.
  • There are 6 players that I have faced 5 or more times each throughout the year (Petey – 11, Tim – 10, Ryan – 7, Andrew P – 7, Sentinel – 6, and Darby – 5).
  • Of the 50 tournament games played, I have faced 34 different opponents.
  • I have faced two players 4 times each in tournaments (Tim and Brett), and four players 3 times each (Darby, Sentinel, Callum, and Maddie).

One other thing to come out of looking at my opponent data that I was very suprised about was the factions they play. 47% of my games have been against Imperial lists, with Rebels as the smallest percentage at only 23%!

Filtering for only tournament games we get a bit more balance between the factions, but as you can see there is still a high percentage of Imperial players in my local areas compared to the data we see coming out of Meta-Wing in terms of the lists people play.

Final Thoughts

It’s been very helpful for me to improve my game and see my progress through analysis of the data that I can collect about all the matches that I play. I hope this has been an interesting insight into the game, and might prompt you to collect information and see if it might help improve your own success!



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