But while Syracuse had racked up a 4goal lead over the first 42 minutes of game action, in the final 18, they gave it all back, and then some. The 71 run that Loyola ended the game on turned an Orange lead into a fairly safe Greyhound win.
As for as much as we hear about the Loyola offense, the credit for the comeback goes to the D. A few statistical comparisons:
Before the turning point, Cuse turned it over on 26% of their possessions; after, that number was 55%. Before the turning point, the Orange took 1.29 shots per possession; after it was just .82 (their season average is 1.06).
I feel the need to separate Stover from the generic Loyola D as well. In the first part of the game, when Syracuse built their lead, he had a respectable 52% save percentage. As Loyola made their comeback, his save percentage shot up to 80%.
A defense that starts forcing turnovers and a goalie that turns into a brick wall. If you have an offense as powerful as Loyola’s, those would be the first two ingredients in the recipe for a comeback.Tension Game Score: 92★ ★The tension game score for this game was 92, which means that it was not a very tight affair for the most part.Loyola Min. Win Probability: 11%★ ★The lowest win probability that Loyola had at any point during the game was 11.8%, which suggests that you would not fault those that switched over to something more compelling.LaxELO Points Transfer: 8★The victory means a transfer of 8 LaxELO points from Syracuse to Loyola. As a result of this transfer (and the rest of the games played), Syracuse moves from 8th to 8th nationally; Loyola MD goes from 3rd to 3rd.Game Stars


But while Syracuse had racked up a 4goal lead over the first 42 minutes of game action, in the final 18, they gave it all back, and then some. The 71 run that Loyola ended the game on turned an Orange lead into a fairly safe Greyhound win.
As for as much as we hear about the Loyola offense, the credit for the comeback goes to the D. A few statistical comparisons:
Before the turning point, Cuse turned it over on 26% of their possessions; after, that number was 55%. Before the turning point, the Orange took 1.29 shots per possession; after it was just .82 (their season average is 1.06).
I feel the need to separate Stover from the generic Loyola D as well. In the first part of the game, when Syracuse built their lead, he had a respectable 52% save percentage. As Loyola made their comeback, his save percentage shot up to 80%.
A defense that starts forcing turnovers and a goalie that turns into a brick wall. If you have an offense as powerful as Loyola’s, those would be the first two ingredients in the recipe for a comeback.Tension Game Score: 92★ ★The tension game score for this game was 92, which means that it was not a very tight affair for the most part.Loyola Min. Win Probability: 11%★ ★The lowest win probability that Loyola had at any point during the game was 11.8%, which suggests that you would not fault those that switched over to something more compelling.LaxELO Points Transfer: 8★The victory means a transfer of 8 LaxELO points from Syracuse to Loyola. As a result of this transfer (and the rest of the games played), Syracuse moves from 8th to 8th nationally; Loyola MD goes from 3rd to 3rd.




But they don’t give mulligans, so the 9 goals and 60% efficiency that Yale racked up in the first frame was enough for them to ride out an impressive day from Georgetown.
Another item for your consideration: even including the first quarter, Georgetown was the better team on a per/possession basis. They scored on 33.9% of their possessions, while Yale scored on 30.8% of theirs.
So why is Yale moving on to the quarters? Answer: TD Ierlan. He was primarily responsible for Yale enjoying a +18 possession advantage. And given the efficiency gap, Yale needed it.Tension Game Score: 184★The tension game score for this game was 184, which means that it was not a very tight affair for the most part.Yale Min. Win Probability: 64%★The lowest win probability that Yale had at any point during the game was 64.8%, which tells us that the eventual victory was never really in doubt.LaxELO Points Transfer: 8★The victory means a transfer of 8 LaxELO points from Georgetown to Yale. As a result of this transfer (and the rest of the games played), Georgetown moves from 5th to 5th nationally; Yale goes from 2nd to 2nd.Game Stars


But they don’t give mulligans, so the 9 goals and 60% efficiency that Yale racked up in the first frame was enough for them to ride out an impressive day from Georgetown.
Another item for your consideration: even including the first quarter, Georgetown was the better team on a per/possession basis. They scored on 33.9% of their possessions, while Yale scored on 30.8% of theirs.
So why is Yale moving on to the quarters? Answer: TD Ierlan. He was primarily responsible for Yale enjoying a +18 possession advantage. And given the efficiency gap, Yale needed it.Tension Game Score: 184★The tension game score for this game was 184, which means that it was not a very tight affair for the most part.Yale Min. Win Probability: 64%★The lowest win probability that Yale had at any point during the game was 64.8%, which tells us that the eventual victory was never really in doubt.LaxELO Points Transfer: 8★The victory means a transfer of 8 LaxELO points from Georgetown to Yale. As a result of this transfer (and the rest of the games played), Georgetown moves from 5th to 5th nationally; Yale goes from 2nd to 2nd.
To rank games, we will be using three values:
 Tension Game Score – a measure of how tight the game was. A backandforth match up where neither team is able to take control is going to have a lower tension score (i.e. smaller gap between the teams).
 Min. Win Probability – the lowest win probability value that our model ascribed to the eventual winner during the course of the game. A game where the winner had to make a huge comeback is probably going to have a very low win probability (think about the moment that it seemed least likely that they’d come back).
 LaxELO Transfer – a measure of how much an intridual game did to make us reassess how good a certain team was. In a game where a favorite beats the underdog by as much as we thought they would, you don’t really update your priors about how good each team is. Those games would also transfer a relatively small number of LaxELO points.
We will present the metrics for each game, along with a starbased indicator to tell you how common or uncommon that outcome is. For example, a game in which the winning team had a win probability in the single digits is a rare occurence and would get 3 stars in that category.
We welcome your feedback, and we hope that this helps you to distill down the craziness of a full lacrosse slate into a more digestible list of highlights.