When the MLB standings get tight, simply checking wins and losses rarely tells the whole story. One team may sit only two games outside a Wild Card spot yet have surprisingly low postseason chances. Another may be several games behind its division leader but still look relatively safe. This is where FanGraphs playoff odds become useful.
Rather than treating the current standings as the final answer, FanGraphs attempts to estimate what is likely to happen next. Its model considers where teams stand today, who they still have to play, and how strong their rosters are projected to be over the rest of the season. It then simulates thousands of possible endings.
That makes the numbers valuable, but also easy to misunderstand.
A 70% playoff probability does not mean FanGraphs “knows” a team will reach October. It means that, under the assumptions used by the model, that team reached the postseason in roughly seven out of every 10 simulated outcomes.
Understanding that difference is the key to using the odds properly.
What Are FanGraphs Playoff Odds?
FanGraphs playoff odds estimate the probability that each MLB team will reach different stages of the postseason.
The system can estimate outcomes such as:
- Winning the division
- Earning a Wild Card berth
- Making the playoffs
- Receiving a first-round bye
- Reaching later postseason rounds
- Winning the World Series
The important word is probability.
These percentages are not predictions in the traditional sense. FanGraphs is not saying, “This team will make the playoffs.”
It is asking a different question:
If we replayed the remaining schedule thousands of times using our current estimates of every team’s strength, how often would this team qualify?
FanGraphs currently simulates the remaining MLB season 20,000 times. Its main inputs include the current standings, remaining schedule and projected performance of each team.
If a club reaches the postseason in 15,000 of those 20,000 simulated seasons, its estimated playoff probability would be about 75%.
That distinction makes the numbers much easier to understand.
How FanGraphs Playoff Odds Actually Work
There are several layers behind a percentage that looks simple on the screen.
1. Current Standings Establish the Starting Point
Every simulation begins with what has already happened.
A team that is 80-55 does not start the simulation from zero. Those 80 victories are already secured.
That sounds obvious, but it becomes increasingly important as the season progresses.
In April, projections of future team quality carry enormous weight because most games remain unplayed. By September, actual results dominate because there are fewer opportunities for the standings to change.
2. Player Projections Estimate Future Team Strength
The standard FanGraphs projection mode uses its Depth Charts projections.
Those rate projections combine ZiPS and Steamer at a 50/50 split, with projected playing time incorporated through the depth charts. FanGraphs then uses that information to estimate how strong each team should be against a neutral opponent.
This is why the model can disagree with the standings.
Suppose two clubs are both 70-65.
Team A has healthy star players returning, a strong rotation and several hitters whose underlying projections remain excellent.
Team B has suffered major injuries and has been relying on players projected to perform below league average.
Their records are identical.
Their expected performance going forward may not be.
3. The Remaining Schedule Matters
FanGraphs does not simply take projected winning percentage and multiply it by games remaining.
Who those games are against matters.
A contender facing several rebuilding clubs may have a more favorable path than another contender that still has multiple series against division leaders.
FanGraphs therefore incorporates the actual remaining schedule into its simulations and publishes a strength-of-schedule measure.
This becomes especially valuable late in the year, when schedules can differ significantly.
4. The Season Is Simulated Thousands of Times
After estimating team strength and accounting for the remaining schedule, FanGraphs simulates possible outcomes 20,000 times.
One simulation might produce:
- Team A: 91 wins
- Team B: 89 wins
- Team C: 87 wins
Another could finish:
- Team B: 93 wins
- Team A: 88 wins
- Team C: 86 wins
Repeat this process thousands of times and patterns emerge.
The percentage of simulations in which Team A qualifies becomes its estimated playoff probability.
How to Read FanGraphs Playoff Odds Correctly
The biggest mistake is looking only at the “Make Playoffs” percentage.
Several numbers provide useful context.
Division Odds
Division probability estimates how often a team finishes first in its division.
This number can reveal something the overall playoff percentage hides.
For example, a club might have:
- 72% chance to make the playoffs
- 14% chance to win its division
That tells you most of its postseason path runs through a Wild Card berth.
Another team might have similar overall odds but a much greater chance of winning its division.
Those are two very different playoff situations.
Wild Card Odds
Wild Card probability becomes particularly useful when several teams are packed closely together.
Under the current MLB postseason format, six teams from each league qualify. The three division winners reach October along with three Wild Card teams. The top two division winners in each league receive a bye through the Wild Card Series.
That creates several possible routes into October rather than a simple division-winner-or-go-home situation.
Projected Wins
Projected final wins can sometimes be more informative than the headline percentage.
Suppose FanGraphs projects two clubs for approximately 87 wins, but one has a substantially higher playoff probability.
The reason may not be that FanGraphs thinks the first team is better.
It may be that its competitive environment is easier.
That distinction is worth remembering.
FanGraphs Projection Modes Explained
One of the most useful parts of the tool is that FanGraphs does not force readers to view the season through a single assumption.
Its current playoff-odds system includes four projection modes.
FanGraphs Projections
This is the forward-looking model most readers associate with the site.
It uses FanGraphs Depth Charts, incorporating ZiPS and Steamer projections.
This approach effectively asks:
Based on what we know about these players, how good should this roster be from today forward?
It is particularly helpful when a team’s current record may not fully represent its underlying talent.
ATC Projections
ATC is another forward-looking option.
Rather than depending on a single projection system, ATC combines information from multiple forecasting systems while using FanGraphs playing-time estimates.
If you want another model-based opinion rather than relying exclusively on the standard FanGraphs blend, comparing the two can be useful.
Season-to-Date Mode
Season-to-date mode is more heavily driven by what teams have actually done during the current season.
It gives greater weight to recent performance.
This creates an interesting comparison.
Imagine a preseason favorite starts poorly but still has excellent projected players.
The forward-looking model may remain optimistic.
The season-to-date model may be much more skeptical.
The gap itself contains useful information: it shows you where historical projections and recent evidence disagree.
Coin Flip Mode
Coin Flip mode treats every remaining game as a 50/50 contest.
Obviously, the best team in baseball does not have exactly the same ability as the worst team.
That is not really the point.
Coin Flip mode gives you a neutral baseline showing how much of a team’s position is created purely by the standings and schedule rather than projected roster strength.
Why FanGraphs Playoff Odds Can Change So Quickly
Fans sometimes see a team’s probability fall sharply overnight and assume the model has overreacted.
Usually, several things are happening simultaneously.
Consider a Wild Card contender that loses.
That loss hurts because:
- It has one fewer opportunity remaining.
- Its competitors may have won.
- The gap in the standings may increase.
- Updated roster projections could change.
- A player’s injury may alter expected playing time.
A team’s playoff race does not exist independently.
Its probability depends partly on what every relevant competitor does.
This creates an important practical insight:
A team’s odds can change significantly even on a day when that team does not play.
If three direct Wild Card rivals win, the number of favorable simulated outcomes for the idle club may shrink.
Standings vs. FanGraphs Playoff Odds
Neither should replace the other.
They answer different questions.
The standings answer:
What has happened?
Playoff projections answer:
Given what has happened and what we currently know, what might happen next?
Suppose Club A is one game ahead of Club B.
Looking only at the standings suggests Club A has the advantage.
But imagine Club B:
- Has an easier remaining schedule
- Has its best pitcher returning from injury
- Projects as a stronger offensive team
- Has more games left against weaker opponents
FanGraphs may reasonably give Club B the better playoff probability.
That does not make the standings irrelevant.
It simply means one game of current separation is being weighed against many remaining games.
Three Insights Many Readers Miss
A Percentage Becomes More Powerful Later in the Season
A 70% playoff probability in May and 70% in September look identical but should not feel identical.
Early in the season, enormous uncertainty remains.
By September, far fewer outcomes are possible.
FanGraphs’ distribution of projected win totals naturally becomes narrower as games are completed.
In practical terms, late-season probabilities generally contain more information about actual playoff position because there is less baseball left to overturn the standings.
Your Rival’s Schedule Can Matter Almost as Much as Yours
Fans naturally look at their own team’s remaining opponents.
That is only half the calculation.
Imagine your club has a fairly difficult schedule but its primary Wild Card rival faces an even harder one.
The relative difference may still favor you.
The better question is not:
“Is our schedule difficult?”
Ask:
“How difficult is our path compared with the teams we need to beat?”
That change in perspective makes playoff projections much more useful.
The Same Playoff Percentage Can Hide Different Types of Risk
Imagine two teams both sit at 65%.
Team A has several possible paths: division title or multiple Wild Card positions.
Team B has almost no division chance and relies heavily on capturing the final Wild Card.
Their headline probability is identical, but Team A’s route is more diversified.
Looking at the individual division, Wild Card and bye probabilities gives you a much clearer picture than relying on one percentage.
How to Use FanGraphs Playoff Odds in Practice
You do not need to be a statistician.
A simple routine works well.
Step 1: Check the Current Probability
Start with the overall playoff percentage.
Use it as a snapshot, not a guarantee.
Step 2: Look at the Division and Wild Card Paths
Identify where most of the team’s probability comes from.
Is the club fighting for a division?
Or has the race effectively become Wild Card-or-bust?
Step 3: Compare Projected Wins
This shows where the simulation expects each club to finish on average.
Step 4: Examine Strength of Schedule
Pay extra attention during August and September.
Small schedule differences become more meaningful when only a few weeks remain.
Step 5: Compare Projection Modes
If the FanGraphs projection and season-to-date versions strongly disagree, investigate why.
The difference could reflect:
- Injuries
- Unexpected breakouts
- Underperforming stars
- Roster changes
- Sustainability concerns
The disagreement is not a flaw. Sometimes it is the most interesting part of the analysis.
Common Mistakes When Reading Playoff Odds
Treating 90% as a Guarantee
A 90% probability still contains failure scenarios.
Rare outcomes happen in baseball regularly.
Assuming 0.0% Means Mathematically Eliminated
FanGraphs notes that displayed values can round to 0.0% or 100.0%. A displayed 0.0% does not necessarily mean mathematical elimination, just as 100.0% does not automatically mean a team has officially clinched.
Overreacting to One-Day Movement
Instead of asking why an odd moved three percentage points, look at the trend over a week or two.
That provides much better context.
Ignoring Injuries
Projections depend on expected playing time.
If a star player’s availability changes, the estimate of team strength can change too.
Using Playoff Odds as a Power Ranking
A team with higher playoff odds is not automatically the stronger baseball team.
Standings position, division competition and remaining schedule all affect probability.
Are FanGraphs Playoff Odds Accurate?
No projection system can know the future.
The better question is whether its probabilities are reasonably calibrated.
FanGraphs has publicly reviewed the historical performance of its own model and reported that teams assigned probabilities around certain levels tend, in aggregate, to reach the postseason at roughly corresponding rates. Its evaluations have also found the projection-based approach particularly useful at identifying teams at the high and low ends of playoff probability.
That does not mean every individual prediction succeeds.
A 20% team sometimes makes October.
That does not automatically mean the model failed.
If approximately one out of five comparable 20% teams succeeds over a large sample, the probability may have been quite reasonable.
Probability should be judged across many predictions, not one surprising season.
Conclusion
FanGraphs playoff odds are most useful when you stop treating them as predictions and start treating them as a map of possible outcomes.
The standings establish where a team is today. Player projections estimate how strong it may be tomorrow. The remaining schedule determines the road ahead, and thousands of simulations show how often those ingredients produce a playoff berth.
The headline percentage is useful, but the deeper value comes from comparing division chances, Wild Card routes, projected wins, schedule difficulty and different projection modes.
And when the model disagrees with your intuition, that is often the best moment to investigate rather than dismiss it. Ask what the model sees that the standings alone do not.
That is where FanGraphs becomes more than a page full of percentages. It becomes a practical way to understand the uncertainty, pressure and changing probabilities behind an MLB playoff race.
FAQs About FanGraphs Playoff Odds
How often do FanGraphs playoff odds update?
The underlying numbers can change as new game results, roster information and projections enter the system. During a close playoff race, checking changes over several days is generally more informative than reacting to every small movement.
What does a 50% FanGraphs playoff probability mean?
It means the team reached the postseason in about half of the simulated season outcomes under the model’s current assumptions. It does not mean the team’s next game is a 50/50 contest or that FanGraphs is unsure how good the team is.
Why does FanGraphs favor a team with a worse record?
The model looks beyond current wins and losses. Projected roster quality, remaining opponents, injuries and the number of games left can all make a team with a slightly worse record more likely to finish ahead.
Are FanGraphs playoff odds the same as World Series odds?
No. Making the postseason is only the first hurdle. World Series probability incorporates the additional challenge of advancing through multiple postseason rounds, so even excellent teams normally have much lower championship probabilities than playoff probabilities.
Do FanGraphs playoff odds account for strength of schedule?
Yes. The remaining schedule is part of the simulation, and FanGraphs also provides a strength-of-schedule measurement based on opponents’ estimated quality. This can become especially informative late in the regular season.
Should I trust FanGraphs playoff odds more than MLB standings?
Use both because they measure different things. The standings are the factual record of what has already happened, while the odds estimate future possibilities. The strongest analysis comes from understanding why the two sometimes tell different stories.
