Last Saturday night was the Ottoneu keeper deadline. If you’re like me, you might have spent too much time the last few months weighing which players deserve a spot on your 2026 roster. A handful of last minute offseason trades ahead of the deadline got things in order and then came the chopping block. For better or worse, everything is locked in until draft day arrives for your league.

Before looking ahead towards your draft this spring, let’s take a look at what happened at the keeper deadline. There isn’t much immediately actionable information here since rosters are locked until your league’s draft, but I found it interesting to dig into the players who were cut the most and how average salaries have changed over the course of the offseason.

There aren’t a lot of surprises on the list of most cut players. It’s mostly populated with guys who were either injured in 2025 or who struggled mightily last season. When looking ahead towards this season, the uncertainty surrounding all of these players made them all easy cuts at the deadline.

A spring illness caused Mookie Betts to lose nearly 20 pounds in two weeks and forced him to miss the Dodgers’ two-game series in Japan to start the season. His conditioning never really caught up once the season got underway and he struggled for nearly the entire season. He did finish on a high note, posting a 128 wRC+ in August and September, but the early season damage was already done. As one of the most expensive players in the Ottoneu universe, a lost season from Betts was bound to have repercussions, and he wound up being the second most cut player at the deadline. Still, if we chalk up his struggles in 2025 to his spring illness, then a bounce back season in ‘26 is more than likely. The projections see a wide range of potential outcomes — ZiPS is projecting him at a 131 wRC+ while OOPSY is all the way down at 118 — but his history of production is good enough that you should expect to pay top dollar for him in the draft. His average salary after the cut deadline is nearly $50, though I’d expect that to fall a bit once he’s drafted in all those leagues where he’s available.

I really want to believe in Lars Nootbaar’s skillset. He’s got an excellent approach at the plate and his contact quality is fantastic. He lowered his groundball rate by nearly 15 points in 2025, but despite a hard hit rate of 50%, he didn’t see a big improvement in results on contact. A lot of that added air contact was hit at too high launch angles or hit to the opposite field. In other words, despite embracing “elevate and celebrate,” all that elevated contact wasn’t optimized for damage. To make matters worse, he played through a rib injury for some of the season and then had surgery to correct issues in both of his heels this offseason. I want to believe in Nootbaar, but between the injury issues and the difficulty translating his contact quality into real results, I’m not sold on a bounce back from him.

After a very successful first year in the US, Shota Imanaga took a pretty significant step back in his second season in Chicago. The twin culprits were a strikeout rate that dropped by nearly five points and a groundball rate that fell eight points. With all that extra elevated contact allowed, he saw a corresponding jump in home runs allowed that shot his FIP up by more than a run. Homers are a death knell for any pitcher in Ottoneu and so it’s no surprise to see Imanaga on the chopping block. I think it’s probably reasonable to expect a bit of a bounce back — his SIERA and xFIP were both well below his actual FIP in 2025 — but getting back to his outstanding ‘24 season is probably out of the question. As a fly ball heavy pitcher, his success will wax and wane based on his home run rate which gives him a pretty volatile profile.

The table above lists players who saw their average salaries drop the most after the cut deadline. As you’d expect, there are a bunch of aging stars and once-great players who suffered a sudden dip in performance in 2025.

Man, what happened to Ozzie Albies? You could chalk up his power outage in 2024 to a broken wrist suffered in July of that season. But then he didn’t bounce back in ‘25; his ISO dropped to a career-low .124 and he blasted only 16 home runs. Even though we only have limited bat speed data, Albies’s average bat speed dropped a full tick from 2023 to ‘24 and it didn’t bounce back last year when he was supposedly healthy. His contact quality has never really been all that great but he made the most of it every season until last year. He’s still only 29 years old, but unless he rediscovers an extra gear with his bat speed, I’m afraid his best days are already in the past.

Oh look, another Braves hitter who really struggled last year. At least with Austin Riley, you can point to a hand injury in 2024 and three separate core injuries in ‘25 to explain his struggles. Then again, his production at the plate had already started to decline slightly in 2023, and really reached fever pitch when his plate discipline started slipping in ‘24. It deteriorated further in 2025 when he got more aggressive at the plate while running a slightly higher whiff rate. The good news is that his contact quality was still elite which means the only thing he needs to work on is his approach. Of all the guys on the two lists in this article, Riley is the one I’m most confident in predicting a bounce back this year.

Finally, here’s a long list of players cut in more than 50% of all Ottoneu leagues.

The Ottoneu rankings push finally wraps up with a look at relief pitchers. You can find all the information about the format and methodology for these rankings in Chad’s introduction.

Jake Mailhot’s Ottoneu Tiered Rankings for Points Leagues: C | 1B | MI | 3B | OF | SP | RP
Chad Young’s Ottoneu Tiered Rankings for Points Leagues: C | 1B | MI | 3B |OF | SP | RP
Chad Young’s Ottoneu Tiered Rankings for 4×4: C | 1B | MI | 3B | OF | SP | RP

Here are few more notes about my process:

• Projected points. I’ve been building my own homebrewed projections for the past decade plus, ever since I started playing Ottoneu, and they form the basis for the rankings below. They’re nothing overly complicated; essentially just a MARCEL-esque projection using three years of historical data filtered through a rough aging curve and adjusted for the current run environment. I also include a collection of up to five public projection systems (ZiPS, Steamer, OOPSY, THE BAT, and PECOTA) to provide some additional context. That gives each player a wealth of data sources to form their projection. Currently, the projections below only include Steamer and THE BAT projections. I will update the rankings in February once ZiPS, OOPSY, and PECOTA are released.
• P/IP. Points per innings pitched is the gold standard by which you should be evaluating pitchers in Ottoneu but there are plenty of factors that will affect a player’s ranking outside of their raw projection. Injury risk, projected playing time and role, age, and future value are all things that need to be taken into account when evaluating pitchers.

Just to reiterate a point that Chad makes in his introduction: yes, these rankings are presented ordinally, but the tier a player appears in is much more important than if they’re ranked 16th or 28th. Within tiers, players are generally ranked by their projected P/IP but that doesn’t necessarily mean I think one player is significantly more valuable than another in the same tier.

Here are my general thoughts about relief pitchers in Ottoneu points and 4×4 leagues: underlying skills matter a lot more than a pitcher’s place in the bullpen pecking order. Chasing saves isn’t as important as it might be in 5×5 leagues where saves make up 20% of the pitching categories. Teams will generally use their most skilled relievers in the highest leverage situations which means if you target relievers with strong skills, saves and holds (and the bonus points associated with them in Ottoneu points leagues) will follow.

Relievers are also the most volatile part of your roster and they’re the most fungible players in the format. That means even if you invest heavily to build an elite bullpen, a team who spends $10 total on 5 or 6 relievers could outperform your team if they find the right mix of breakouts and sleepers. Be ready to churn through a bunch of relievers throughout the season as pitchers get hurt or lose their effectiveness. That process is so much easier if you’re not invested into a bunch of high priced closers.

The Ottoneu rankings push shifts to the mound with a look at starting pitchers. You can find all the information about the format and methodology for these rankings in Chad’s introduction.

Jake Mailhot’s Ottoneu Tiered Rankings for Points Leagues: C | 1B | MI | 3B | OF | SP | RP
Chad Young’s Ottoneu Tiered Rankings for Points Leagues: C | 1B | MI | 3B |OF | SP | RP
Chad Young’s Ottoneu Tiered Rankings for 4×4: C | 1B | MI | 3B | OF | SP | RP

Here are few more notes about my process:

• Projected points. I’ve been building my own homebrewed projections for the past decade plus, ever since I started playing Ottoneu, and they form the basis for the rankings below. They’re nothing overly complicated; essentially just a MARCEL-esque projection using three years of historical data filtered through a rough aging curve and adjusted for the current run environment. I also include a collection of up to five public projection systems (ZiPS, Steamer, OOPSY, THE BAT, and PECOTA) to provide some additional context. That gives each player a wealth of data sources to form their projection. Currently, the projections below only include Steamer and THE BAT projections. I will update the rankings in February once ZiPS, OOPSY, and PECOTA are released.
• P/IP. Points per innings pitched is the gold standard by which you should be evaluating pitchers in Ottoneu but there are plenty of factors that will affect a player’s ranking outside of their raw projection. Injury risk, projected playing time and role, age, and future value are all things that need to be taken into account when evaluating pitchers.

Just to reiterate a point that Chad makes in his introduction: yes, these rankings are presented ordinally, but the tier a player appears in is much more important than if they’re ranked 16th or 28th. Within tiers, players are generally ranked by their projected P/IP but that doesn’t necessarily mean I think one player is significantly more valuable than another in the same tier.

The Ottoneu rankings push continues with a look at the final position player group: first basemen. You can find all the information about the format and methodology for these rankings in Chad’s introduction.

Jake Mailhot’s Ottoneu Tiered Rankings for Points Leagues: C | 1B | MI | 3B | OF
Chad Young’s Ottoneu Tiered Rankings for Points Leagues: C | 1B | MI | 3B |OF
Chad Young’s Ottoneu Tiered Rankings for 4×4: C | 1B | MI | 3B | OF

Here are few more notes about my process:

• Projected points. I’ve been building my own homebrewed projections for the past decade plus, ever since I started playing Ottoneu, and they form the basis for the rankings below. They’re nothing overly complicated; essentially just a MARCEL-esque projection using three years of historical data filtered through a rough aging curve and adjusted for the current run environment. I also include a collection of up to five public projection systems (ZiPS, Steamer, OOPSY, THE BAT, and PECOTA) to provide some additional context. That gives each player a wealth of data sources to form their projection. Currently, the projections below only include Steamer and THE BAT projections. I will update the rankings in February once ZiPS, OOPSY, and PECOTA are released.
• P/G vs P/PA. Points per game played is the gold standard by which you should be evaluating players in Ottoneu. I won’t argue with that. That measure does have some drawbacks, particularly for players who pinch hit, pinch run, or are used as defensive substitutions often. Those limited appearances can skew a player’s P/G lower than what they’re producing when they’re getting three or four plate appearances when they start a game. To provide a little more context for these kinds of players, I’m projecting players using points per plate appearance. That measure should give us a better idea of how a player produces no matter how he’s used by his team.

Just to reiterate a point that Chad makes in his introduction: yes, these rankings are presented ordinally, but the tier a player appears in is much more important than if they’re ranked 16th or 28th. Within tiers, players are generally ranked by their projected Pts/PA but that doesn’t necessarily mean I think one player is significantly more valuable than another in the same tier. I’ve got notes on the top 30-ish players below and I’ll add more notes when I update the rankings next month. I’m also including Util-only players in this list since there’s no good home for them elsewhere. Let’s get into it.

The Ottoneu rankings push continues this week with a look at the hot corner. You can find all the information about the format and methodology for these rankings in Chad’s introduction.

Jake Mailhot’s Ottoneu Tiered Rankings for Points Leagues: C | MI | 3B | OF
Chad Young’s Ottoneu Tiered Rankings for Points Leagues: C | MI | 3B |OF
Chad Young’s Ottoneu Tiered Rankings for 4×4: C | MI | 3B | OF

Here are few more notes about my process:

• Projected points. I’ve been building my own homebrewed projections for the past decade plus, ever since I started playing Ottoneu, and they form the basis for the rankings below. They’re nothing overly complicated; essentially just a MARCEL-esque projection using three years of historical data filtered through a rough aging curve and adjusted for the current run environment. I also include a collection of up to five public projection systems (ZiPS, Steamer, OOPSY, THE BAT, and PECOTA) to provide some additional context. That gives each player a wealth of data sources to form their projection. Currently, the projections below only include Steamer and THE BAT projections. I will update the rankings in February once ZiPS, OOPSY, and PECOTA are released.
• P/G vs P/PA. Points per game played is the gold standard by which you should be evaluating players in Ottoneu. I won’t argue with that. That measure does have some drawbacks, particularly for players who pinch hit, pinch run, or are used as defensive substitutions often. Those limited appearances can skew a player’s P/G lower than what they’re producing when they’re getting three or four plate appearances when they start a game. To provide a little more context for these kinds of players, I’m projecting players using points per plate appearance. That measure should give us a better idea of how a player produces no matter how he’s used by his team.

Just to reiterate a point that Chad makes in his introduction: yes, these rankings are presented ordinally, but the tier a player appears in is much more important than if they’re ranked 16th or 28th. Within tiers, players are generally ranked by their projected Pts/PA but that doesn’t necessarily mean I think one player is significantly more valuable than another in the same tier. I’ve got notes on the top 15-ish players below and I’ll add more notes when I update the rankings next month. Let’s get into it.

With the two largest position groups out of the way, the Ottoneu rankings push takes a breather with the smallest position group to finish this week. You can find all the information about the format and methodology for these rankings in Chad’s introduction.

Jake Mailhot’s Ottoneu Tiered Rankings for Points Leagues: C | MI | OF
Chad Young’s Ottoneu Tiered Rankings for Points Leagues: C | MI | OF
Chad Young’s Ottoneu Tiered Rankings for 4×4: C | MI | OF

Here are few more notes about my process:

• Projected points. I’ve been building my own homebrewed projections for the past decade plus, ever since I started playing Ottoneu, and they form the basis for the rankings below. They’re nothing overly complicated; essentially just a MARCEL-esque projection using three years of historical data filtered through a rough aging curve and adjusted for the current run environment. I also include a collection of up to five public projection systems (ZiPS, Steamer, OOPSY, THE BAT, and PECOTA) to provide some additional context. That gives each player a wealth of data sources to form their projection. Currently, the projections below only include Steamer and THE BAT projections. I will update the rankings in February once ZiPS, OOPSY, and PECOTA are released.
• P/G vs P/PA. Points per game played is the gold standard by which you should be evaluating players in Ottoneu. I won’t argue with that. That measure does have some drawbacks, particularly for players who pinch hit, pinch run, or are used as defensive substitutions often. Those limited appearances can skew a player’s P/G lower than what they’re producing when they’re getting three or four plate appearances when they start a game. To provide a little more context for these kinds of players, I’m projecting players using points per plate appearance. That measure should give us a better idea of how a player produces no matter how he’s used by his team.

Just to reiterate a point that Chad makes in his introduction: yes, these rankings are presented ordinally, but the tier a player appears in is much more important than if they’re ranked 16th or 28th. Within tiers, players are generally ranked by their projected Pts/PA but that doesn’t necessarily mean I think one player is significantly more valuable than another in the same tier. I’ve got notes on the top 20-ish players below and I’ll add more notes when I update the rankings next month. Let’s get into it.

After starting with the second largest position group last week, the Ottoneu rankings push continues with the largest position group this week. You can find all the information about the format and methodology for these rankings in Chad’s introduction.

Jake Mailhot’s Ottoneu Tiered Rankings for Points Leagues: MI | OF
Chad Young’s Ottoneu Tiered Rankings for Points Leagues: MI | OF
Chad Young’s Ottoneu Tiered Rankings for 4×4: MI | OF

Here are few more notes about my process:

• Projected points. I’ve been building my own homebrewed projections for the past decade plus, ever since I started playing Ottoneu, and they form the basis for the rankings below. They’re nothing overly complicated; essentially just a MARCEL-esque projection using three years of historical data filtered through a rough aging curve and adjusted for the current run environment. I also include a collection of up to five public projection systems (ZiPS, Steamer, OOPSY, THE BAT, and PECOTA) to provide some additional context. That gives each player a wealth of data sources to form their projection. Currently, the projections below only include Steamer and THE BAT projections. I will update the rankings in February once ZiPS, OOPSY, and PECOTA are released.
• P/G vs P/PA. Points per game played is the gold standard by which you should be evaluating players in Ottoneu. I won’t argue with that. That measure does have some drawbacks, particularly for players who pinch hit, pinch run, or are used as defensive substitutions often. Those limited appearances can skew a player’s P/G lower than what they’re producing when they’re getting three or four plate appearances when they start a game. To provide a little more context for these kinds of players, I’m projecting players using points per plate appearance. That measure should give us a better idea of how a player produces no matter how he’s used by his team.

Just to reiterate a point that Chad makes in his introduction: yes, these rankings are presented ordinally, but the tier a player appears in is much more important than if they’re ranked 16th or 28th. Within tiers, players are generally ranked by their projected Pts/PA but that doesn’t necessarily mean I think one player is significantly more valuable than another in the same tier. I’ve got notes on the top 75-ish players below and I’ll add more notes when I update the rankings next month. Let’s get into it.

Chad started off the Ottoneu rankings push with his 4×4 middle infield rankings yesterday and I’m following up with my rankings for Ottoneu points leagues. You can find all the information about the format and methodology for these rankings in Chad’s introduction.

Here are few more notes about my process:

• Projected points. I’ve been building my own homebrewed projections for the past decade plus, ever since I started playing Ottoneu, and they form the basis for the rankings below. They’re nothing overly complicated; essentially just a MARCEL-esque projection using three years of historical data filtered through a rough aging curve and adjusted for the current run environment. I also include a collection of up to five public projection systems (ZiPS, Steamer, OOPSY, THE BAT, and PECOTA) to provide some additional context. That gives each player a wealth of data sources to form their projection. Currently, the projections below only include Steamer and THE BAT projections. I will update the rankings in February once ZiPS, OOPSY, and PECOTA are released.
• P/G vs P/PA. Points per game played is the gold standard by which you should be evaluating players in Ottoneu. I won’t argue with that. That measure does have some drawbacks, particularly for players who pinch hit, pinch run, or are used as defensive substitutions often. Those limited appearances can skew a player’s P/G lower than what they’re producing when they’re getting three or four plate appearances when they start a game. To provide a little more context for these kinds of players, I’m projecting players using points per plate appearance. That measure should give us a better idea of how a player produces no matter how he’s used by his team.

Just to reiterate a point that Chad makes in his introduction: yes, these rankings are presented ordinally, but the tier a player appears in is much more important than if they’re ranked 16th or 28th. Within tiers, players are generally ranked by their projected Pts/PA but that doesn’t necessarily mean I think one player is significantly more valuable than another in the same tier. I’ve got notes on the top 50-ish players below and I’ll add more notes when I update the rankings next month. Let’s get into it.