
Probability Calculations
Calculating Probabilities for
a Single Season
The
probabilities of winning a championship, appearing in a championship game or
series, and making the playoffs are calculated under the assumption that all
teams have equal ability. While factors such as teams’ schedules, if not
balanced, could have a small impact on these probabilities, that impact is
likely negligible. As a result, the calculations are based solely on the league
structure in place at the time, including the number of teams, conference and
division alignments, playoff qualification rules, and playoff format.
Playoffs
Consider
a league in which division winners automatically qualify for the playoffs and
additional teams qualify as wild cards. The first step is to determine each
team's probability of earning an automatic playoff berth. This probability is simply:
Probability of winning the division = 1 ÷
number of teams in the division
In
the NHL's current format, the top three teams in each division qualify
automatically. In that case, the probability becomes:
Probability of automatic qualification =
3 ÷ number of teams in the division
Because
divisions are not always the same size, teams may have different playoff
probabilities.
The
next step is to calculate the probability of qualifying as a wild card team.
This probability depends on the size of the team's division, the number of teams
in its conference or league, and the number of available wild card spots. For a more information related to the wild card calculations,
click here.
Throughout
the remainder of this section, the probability of making the playoffs will be
denoted as P(PO).
Championship Appearances and
Championships
In
playoff formats without byes, calculating the probability of reaching the
championship round is straightforward. Assuming all teams are equally skilled, each
playoff series is effectively a 50-50 proposition.
Therefore,
the probabilities are as follows for a given number of rounds:
2 playoff rounds, then P(CA) = P(PO) ÷ 2
3 playoff rounds, then P(CA) = P(PO) ÷ 4
4 playoff rounds, then P(CA) = P(PO) ÷ 8
where
P(CA) represents the probability of making a championship appearance.
Once
a team reaches the championship round, it has a 50% chance of winning the
championship. Therefore:
Probability of winning a championship
(P(CH)) = P(CA) ÷ 2
Playoff Formats with Byes
Leagues
that award first-round byes require additional calculations.
Consider
a four-round playoff structure in which some teams receive a bye directly into
the second round. In this case, teams that receive a bye need to win only two playoff series to reach the championship round, while teams
without a bye must win three.
To
calculate P(CA), we separately determine:
The
first probability is divided by 4, reflecting the need to win two series to
reach the championship round. The second probability is divided by 8,
reflecting the need to win three series. Adding these two results together
produces the overall value of P(CA).
The
complexity of calculating bye probabilities varies by league and depends on how
byes are awarded and how the playoff structure is
organized.
Example
In
the 1977 NFL season, each conference had two divisions with five teams each and
one division with four teams. In each conference, the three division winners
plus one wild card team qualified for the playoffs. The playoffs consisted of
three rounds with no byes.
For
the 5 team divisions:
Probability of winning the division =
1 ÷ 5 = 0.20000
Probability of earning a wild card
spot = 0.07447
P(PO) = 0.20000 + 0.07447 = 0.27447
P(CA) = P(PO) ÷ 4 = 0.06862
P(CH) = P(CA) ÷ 2 = 0.03431
For
the 4 team divisions:
Probability of winning the division =
1 ÷ 4 = 0.25000
Probability of earning a wild card
spot = 0.06382
P(PO) = 0.20000 + 0.07447 = 0.31382
P(CA) = P(PO) ÷ 4 = 0.07846
P(CH) = P(CA) ÷ 2 = 0.03923
The
calculations for the probability of earning a wild card spot are not shown here, but are based on order statistics
methodology.
As
demonstrated in this example, the chances of making the playoffs are higher for
the divisions with four teams and subsequently have higher chances of making a
championship appearance and winning a championship.
Calculating Probabilities for
Spans of Seasons
For a given team
and each span of seasons within the time frame being evaluated, the probability
of the number of events or more occurring and the probability of the number of
events or less occurring is calculated. Let’s look at an example using the Los
Angeles Dodgers over the time frame of 1951 to 1969 with the event being Winning
a World Series.
|
Probability of the Number of World Series Wins or MORE
Occurs in a Given Span of Seasons for the Los
Angeles Dodgers |
||||||||||||||||||||
|
World Series |
Start Season |
|
|
|
|
End Season |
||||||||||||||
|
1951 |
1952 |
1953 |
1954 |
1955 |
1956 |
1957 |
1958 |
1959 |
1960 |
1961 |
1962 |
1963 |
1964 |
1965 |
1966 |
1967 |
1968 |
1969 |
||
|
|
1951 |
1.00000 |
1.00000 |
1.00000 |
1.00000 |
0.27580 |
0.32107 |
0.36350 |
0.40328 |
0.10492 |
0.12590 |
0.14775 |
0.16578 |
0.04018 |
0.04738 |
0.00985 |
0.01211 |
0.01468 |
0.01756 |
0.02023 |
|
|
1952 |
|
1.00000 |
1.00000 |
1.00000 |
0.22752 |
0.27580 |
0.32107 |
0.36350 |
0.08503 |
0.10492 |
0.12590 |
0.14338 |
0.03211 |
0.03857 |
0.00746 |
0.00937 |
0.01156 |
0.01406 |
0.01639 |
|
|
1953 |
|
1.00000 |
1.00000 |
0.17603 |
0.22752 |
0.27580 |
0.32107 |
0.06647 |
0.08503 |
0.10492 |
0.12170 |
0.02498 |
0.03068 |
0.00549 |
0.00707 |
0.00891 |
0.01103 |
0.01305 |
|
|
|
1954 |
|
1.00000 |
0.12109 |
0.17603 |
0.22752 |
0.27580 |
0.04949 |
0.06647 |
0.08503 |
0.10094 |
0.01881 |
0.02374 |
0.00391 |
0.00517 |
0.00669 |
0.00846 |
0.01018 |
||
|
* WS Win * |
1955 |
|
0.06250 |
0.12109 |
0.17603 |
0.22752 |
0.03440 |
0.04949 |
0.06647 |
0.08132 |
0.01359 |
0.01776 |
0.00266 |
0.00366 |
0.00487 |
0.00632 |
0.00775 |
|||
|
|
1956 |
|
1.00000 |
1.00000 |
1.00000 |
0.22752 |
0.27580 |
0.32107 |
0.35501 |
0.07767 |
0.09315 |
0.01676 |
0.02139 |
0.02663 |
0.03249 |
0.03786 |
||||
|
|
1957 |
|
1.00000 |
1.00000 |
0.17603 |
0.22752 |
0.27580 |
0.31201 |
0.05975 |
0.07408 |
0.01192 |
0.01579 |
0.02027 |
0.02536 |
0.03011 |
|||||
|
|
1958 |
|
1.00000 |
0.12109 |
0.17603 |
0.22752 |
0.26615 |
0.04355 |
0.05651 |
0.00801 |
0.01114 |
0.01486 |
0.01919 |
0.02330 |
||||||
|
* WS Win * |
1959 |
|
0.06250 |
0.12109 |
0.17603 |
0.21722 |
0.02936 |
0.04071 |
0.00499 |
0.00741 |
0.01039 |
0.01397 |
0.01745 |
|||||||
|
|
1960 |
|
1.00000 |
1.00000 |
1.00000 |
0.20679 |
0.24645 |
0.03796 |
0.05027 |
0.06376 |
0.07826 |
0.09110 |
||||||||
|
|
1961 |
|
1.00000 |
1.00000 |
0.15391 |
0.19621 |
0.02474 |
0.03532 |
0.04728 |
0.06046 |
0.07233 |
|||||||||
|
|
1962 |
|
1.00000 |
0.09750 |
0.14263 |
0.01402 |
0.02259 |
0.03277 |
0.04438 |
0.05510 |
||||||||||
|
* WS Win * |
1963 |
|
0.05000 |
0.09750 |
0.00725 |
0.01402 |
0.02259 |
0.03277 |
0.04245 |
|||||||||||
|
|
1964 |
|
1.00000 |
0.09750 |
0.14263 |
0.18549 |
0.22622 |
0.25846 |
||||||||||||
|
* WS Win * |
1965 |
|
0.05000 |
0.09750 |
0.14263 |
0.18549 |
0.21943 |
|||||||||||||
|
|
1966 |
|
1.00000 |
1.00000 |
1.00000 |
1.00000 |
||||||||||||||
|
|
1967 |
|
1.00000 |
1.00000 |
1.00000 |
|||||||||||||||
|
|
1968 |
|
1.00000 |
1.00000 |
||||||||||||||||
|
|
1969 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1.00000 |
To illustrate
how these probabilities are calculated, consider the period from 1958 through
1964 (highlighted in blue).
During those seven seasons, the Dodgers won the World Series twice. Therefore,
we need to determine the probability of a team winning the World Series at
least two times within that span. To calculate this probability, we must account
for every possible combination in which the Dodgers could have won exactly two
championships during those seven seasons. For example, they could have won in
1958 and 1959, 1958 and 1960, 1958 and 1961, and so on. We must also include
the probabilities of winning exactly three, four,
five, six, or all seven championships during the span. Adding together the
probabilities of all these outcomes produces the value shown in the table,
0.05651.
If the Dodgers had
the same chance of winning the World Series every year, this would be a
straightforward calculation using the binomial distribution. However, the
yearly probabilities were not constant. As a reminder, for the purposes of this
website, we are assuming all teams have equal ability. Therefore, from 1958
through 1961, the Dodgers' probability of winning the World Series was 0.0625.
Beginning in 1962, four expansion teams were added to Major League Baseball, reducing
the Dodgers' probability to 0.05 for the 1962–1964 seasons. While the actual
calculations performed for this website use more efficient methods, those
methods produce the same result as calculating every possible combination
separately and then summing the probabilities.
The table above
shows these probabilities for every possible time span between 1951 and 1969.
As another example, consider the period from 1954 through 1967. During those fourteen
seasons, the Dodgers won the World Series four times. In this case, we need to
calculate the probability of winning the World Series at least four times
during that span. The table shows this probability as 0.00669 (highlighted in yellow).
The key point here is that the probability being
calculated depends on the number of championships actually
won during the selected period.
|
Probability of the Number of World Series Wins or LESS Occurs in a Given Span of Seasons for the Los Angeles Dodgers |
||||||||||||||||||||
|
World Series |
Start Season |
|
|
|
|
End Season |
||||||||||||||
|
1951 |
1952 |
1953 |
1954 |
1955 |
1956 |
1957 |
1958 |
1959 |
1960 |
1961 |
1962 |
1963 |
1964 |
1965 |
1966 |
1967 |
1968 |
1969 |
||
|
|
1951 |
0.93750 |
0.87891 |
0.82397 |
0.77248 |
0.96560 |
0.95051 |
0.93353 |
0.91497 |
0.98459 |
0.97899 |
0.97244 |
0.96643 |
0.99383 |
0.99213 |
0.99869 |
0.99826 |
0.99774 |
0.99712 |
0.99651 |
|
|
1952 |
|
0.93750 |
0.87891 |
0.82397 |
0.97847 |
0.96560 |
0.95051 |
0.93353 |
0.98923 |
0.98459 |
0.97899 |
0.97375 |
0.99556 |
0.99418 |
0.99910 |
0.99877 |
0.99836 |
0.99787 |
0.99737 |
|
|
1953 |
|
0.93750 |
0.87891 |
0.98877 |
0.97847 |
0.96560 |
0.95051 |
0.99294 |
0.98923 |
0.98459 |
0.98011 |
0.99693 |
0.99583 |
0.99940 |
0.99916 |
0.99885 |
0.99846 |
0.99806 |
|
|
|
1954 |
|
0.93750 |
0.99609 |
0.98877 |
0.97847 |
0.96560 |
0.99577 |
0.99294 |
0.98923 |
0.98552 |
0.99798 |
0.99714 |
0.99962 |
0.99945 |
0.99922 |
0.99892 |
0.99861 |
||
|
* WS Win * |
1955 |
|
1.00000 |
0.99609 |
0.98877 |
0.97847 |
0.99778 |
0.99577 |
0.99294 |
0.98997 |
0.99875 |
0.99813 |
0.99978 |
0.99966 |
0.99949 |
0.99927 |
0.99904 |
|||
|
|
1956 |
|
0.93750 |
0.87891 |
0.82397 |
0.97847 |
0.96560 |
0.95051 |
0.93693 |
0.99068 |
0.98726 |
0.99828 |
0.99753 |
0.99658 |
0.99542 |
0.99426 |
||||
|
|
1957 |
|
0.93750 |
0.87891 |
0.98877 |
0.97847 |
0.96560 |
0.95353 |
0.99404 |
0.99135 |
0.99896 |
0.99841 |
0.99770 |
0.99680 |
0.99588 |
|||||
|
|
1958 |
|
0.93750 |
0.99609 |
0.98877 |
0.97847 |
0.96817 |
0.99655 |
0.99454 |
0.99942 |
0.99905 |
0.99854 |
0.99787 |
0.99716 |
||||||
|
* WS Win * |
1959 |
|
1.00000 |
0.99609 |
0.98877 |
0.98053 |
0.99827 |
0.99689 |
0.99972 |
0.99948 |
0.99914 |
0.99866 |
0.99813 |
|||||||
|
|
1960 |
|
0.93750 |
0.87891 |
0.83496 |
0.98247 |
0.97301 |
0.99721 |
0.99545 |
0.99316 |
0.99032 |
0.98746 |
||||||||
|
|
1961 |
|
0.93750 |
0.89063 |
0.99156 |
0.98429 |
0.99867 |
0.99750 |
0.99586 |
0.99370 |
0.99145 |
|||||||||
|
|
1962 |
|
0.95000 |
0.99750 |
0.99275 |
0.99952 |
0.99884 |
0.99777 |
0.99624 |
0.99455 |
||||||||||
|
* WS Win * |
1963 |
|
1.00000 |
0.99750 |
0.99988 |
0.99952 |
0.99884 |
0.99777 |
0.99650 |
|||||||||||
|
|
1964 |
|
0.95000 |
0.99750 |
0.99275 |
0.98598 |
0.97741 |
0.96892 |
||||||||||||
|
* WS Win * |
1965 |
|
1.00000 |
0.99750 |
0.99275 |
0.98598 |
0.97884 |
|||||||||||||
|
|
1966 |
|
0.95000 |
0.90250 |
0.85738 |
0.82165 |
||||||||||||||
|
|
1967 |
|
0.95000 |
0.90250 |
0.86490 |
|||||||||||||||
|
|
1968 |
|
0.95000 |
0.91042 |
||||||||||||||||
|
|
1969 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
0.95833 |
The same
process is used to calculate the probability of a team winning a certain number
of championships or fewer during a given span of seasons. While the first table
helps identify periods in which a team may have performed at an exceptionally
high level, this second table highlights periods in which a team may have
underperformed relative to expectations. In both cases, lower probabilities
indicate outcomes that would be less likely to occur by chance alone. A very low
probability suggests that the team's performance over that span was unusually
strong or unusually weak rather than simply the result of good or bad fortune.
Although
the examples above focus on World Series championships, the same methodology is
also applied to World Series appearances (or appearances in the championship
game or championship series for other sports) as well as playoff appearances.
Determining Best and Worst
Spans
The best (number of
events or more occurring) and worst (number of events or less occurring) spans
are considered the spans of seasons which are the least likely to have occurred
(ie. they have the lowest probability).
After making the
calculations for all possible spans within the time frame (1951-1951,
1951-1952, …, 1951-1969, 1952-1952, 1952-1953, …, 1952-1969, …, 1968-1969,
1969-1969), we find the lowest probability to determine the best span. In this case,
we can see that the Dodgers winning 4 times from 1955-1965 produced the lowest
probability of 0.00266 (approximately 1 in 376) which is highlighted in green in
the first table. The worst span for the given time frame is determined by
finding the lowest probability from the second table. In this case, the worst
span is 1951-1954 where the Dodgers won zero World Series where the probability
was 0.77248, highlighted in red.
The Dodgers also won
zero World Series in the span 1966-1969. However, due to there being more teams
in the league in that span, the span of 1951-1954 had a lower probability of
resulting in zero World Series. This illustrates the importance of accounting
for the structure of the league.
For the best and
worst span leaderboards, a team can appear
multiple times. To avoid good or bad spans from having similar years that are involved,
once the best/worst span for a team is determined, the next span under
consideration must not overlap with any year from the previous span. For
example, the Pittsburgh Penguins best span for making
the playoffs was when they made 13 playoff appearances between 2007-2019. Their
next best span was making 12 playoff appearances between 2008-2019, but it
included part of the previous span, therefore it was not used. The next best span
that did not overlap with 2007-2019, was 11 playoff appearances between
1991-2001. The top 5 playoff appearance spans for the Penguins are as follows:
|
Start Year |
End Year |
Playoff Appearances |
Probability |
|
2007 |
2019 |
13 |
0.00019 |
|
1991 |
2001 |
11 |
0.00366 |
|
1975 |
1977 |
3 |
0.21600 |
|
2021 |
2022 |
2 |
0.25000 |
|
1979 |
1982 |
4 |
0.32256 |
The
probabilities of winning a championship, appearing in a championship game or
series, and making the playoffs are calculated under the assumption that all teams
have equal ability. While factors such as teams’ schedules, if not balanced,
could have a small impact on these probabilities, that impact is likely
negligible. As a result, the calculations are based solely on the league
structure in place at the time, including the number of teams, conference and
division alignments, playoff qualification rules, and playoff format.
Consider a league
in which division winners automatically qualify for the playoffs and additional
teams qualify as wild cards. The first step is to determine each team's
probability of earning an automatic playoff berth. This probability is simply:
Probability
of winning the division = 1 ÷ number of teams in the division
In the NHL's
current format, the top three teams in each division qualify automatically. In
that case, the probability becomes:
Probability
of automatic qualification = 3 ÷ number of teams in the division
Because divisions
are not always the same size, teams may have different playoff probabilities.
The next step is
to calculate the probability of qualifying as a wild card team. This
probability depends on the size of the team's division, the number of teams in
its conference or league, and the number of available wild card spots. For a more information related to the wild card calculations,
click here.
Throughout the
remainder of this section, the probability of making the playoffs will be
denoted as P(PO).
Championship Appearances
and Championships
In playoff
formats without byes, calculating the probability of reaching the championship
round is straightforward. Assuming all teams are equally skilled, each playoff
series is effectively a 50-50 proposition.
Therefore, the
probabilities are as follows for a given number of rounds:
where P(CA) represents
the probability of making a championship appearance.
Once a team
reaches the championship round, it has a 50% chance of winning the
championship. Therefore:
Probability of
winning a championship = P(CA) ÷ 2
Playoff Formats
with Byes
Leagues that
award first-round byes require additional calculations.
Consider a
four-round playoff structure in which some teams receive a bye directly into
the second round. In this case, teams that receive a bye need to win only two playoff series to reach the championship round, while teams
without a bye must win three.
To calculate
P(CA), we separately determine:
The first
probability is divided by 4, reflecting the need to win two series to reach the
championship round. The second probability is divided by 8, reflecting the need
to win three series. Adding these two results together produces the overall
value of P(CA).
The complexity of
calculating bye probabilities varies by league and depends on how byes are awarded and how the playoff structure is organized.
© 2026 Champs by Chance. All
rights reserved.