Thanks to SwimSwam’s Barry Revzin for compiling this season’s jackpot data.
2020 INTERNATIONAL SWIMMING LEAGUE
- Duna Arena – Budapest, Hungary
- Short Course Meters (SCM) format
- ISL Technical Handbook
- 2020 ISL Scoring Format
- 2020 ISL Prize Money and Bonuses
- Omega Results
The 2020 ISL season has wrapped, and we’re taking a deeper dive into the season’s major rule change – jackpot margins.
As a reminder, jackpot margins are times set for each event. If the winner beats any or all of the other seven swimmers by that margin, the winner steals the points of the other swimmer(s). You can read more about the system and see the time margins here.
Jackpot Points By Team
The league champion Cali Condors were by far the most aided by jackpots. Their top-end talent across the board in women’s events – and in Caeleb Dressel‘s events on the men’s side – provided the opportunity for almost 400 jackpot points. Meanwhile the Condors lost only 111 to jackpot.
A few notable standouts:
- Most points gained: Cali Condors (379)
- Most points lost: Aqua Centurions (-221)
- Highest net points: Cali Condors (268)
Of the four finalist teams, the LA Current were the only ones not ranked in the top three league-wide for net jackpot points. LA lost almost as many points as they gained to jackpot over the season.
The order very nearly mirrors the ultimate season standings. The two teams most hurt by jackpots were the two teams missing the postseason. The next two lowest were the bottom finishers in each semifinal. LA finishing behind Iron and Tokyo here is really the only anomaly.
| Team | Net | Points Gained | Points Lost |
| CAC | 268 | 379 | -111 |
| ENS | 139 | 303 | -164 |
| LON | 29.5 | 146 | -116.5 |
| TOK | 28.5 | 94 | -65.5 |
| IRO | 18 | 205 | -187 |
| LAC | 16 | 182.5 | -166.5 |
| TOR | -99.5 | 81.5 | -181 |
| NYB | -107.5 | 90 | -197.5 |
| DCT | -128 | 14 | -142 |
| AQC | -138 | 83 | -221 |
Jackpot Points By Swimmer
Here’s a look at how many point each individual swimmer stole or had stolen from them. Only three swimmers had triple-digit stolen points.
It’s also worth noting that the swimmers at the bottom of this list didn’t necessarily perform poorly. Many were called upon to fill out a lineup in an off-event, as teams were ultimately better off swimming someone with almost 100% certainty of getting jackpotted (and ending up with zero points) than taking a penalty for leaving a lane open or missing a cutoff time and losing points.
| Name | Jackpot Points |
| DRESSEL Caeleb | 119.5 |
| MURPHY Ryan | 107.5 |
| KING Lilly | 102.5 |
| SAKCI Emre | 85.5 |
| SMOLIGA Olivia | 61 |
| HAUGHEY Siobhan | 58 |
| GASTALDELLO Beryl | 55.5 |
| SANTOS Nicholas | 52.5 |
| SJOSTROM Sarah | 46.5 |
| KOCH Marco | 45 |
| SZABO Szebasztian | 44 |
| SHYMANOVICH Ilya | 37 |
| KROMOWIDJOJO Ranomi | 37 |
| SHIELDS Tom | 36.5 |
| le CLOS Chad | 32 |
| TOUSSAINT Kira | 29 |
| OHASHI Yui | 26 |
| MASSE Kylie | 26 |
| MARGALIS Melanie | 26 |
| NELSON Beata | 24 |
| FLICKINGER Hali | 23 |
| PILATO Benedetta | 21 |
| MANAUDOU Florent | 19 |
| KAWECKI Radoslaw | 19 |
| GUIDO Guilherme | 19 |
| BRATTON Lisa | 19 |
| SEEBOHM Emily | 18 |
| PEATY Adam | 18 |
| RAPSYS Danas | 17 |
| PICKREM Sydney | 16.5 |
| HASEGAWA Suzuka | 15 |
| WATTEL Marie | 14 |
| WASICK Kasia | 14 |
| DIENER Christian | 13 |
| WOG Kelsey | 12 |
| WOOD Abbie | 11.5 |
| WEITZEIL Abbey | 11.5 |
| RYLOV Evgeny | 11.5 |
| SMITH Leah | 11 |
| ATKINSON Alia | 11 |
| SHKURDAI Anastasiya | 10 |
| HEEMSKERK Femke | 9.5 |
| BLUME Pernille | 9.5 |
| HAGINO Kosuke | 9 |
| BANIC Madeline | 8.5 |
| CIEPLUCHA Tessa | 8 |
| ANDERSON Freya | 7 |
| MARTINENGHI Nicolo | 5 |
| IRIE Ryosuke | 5 |
| HEINTZ Philip | 5 |
| HANNIS Molly | 5 |
| SCOTT Duncan | 4 |
| HOSSZU Katinka | 4 |
| HENIQUE Melanie | 4 |
| HAAS Townley | 3.5 |
| WANG Eddie | 3 |
| PRIGODA Kirill | 3 |
| MUREZ Andi | 3 |
| KOLESNIKOV Kliment | 3 |
| DEAN Tom | 3 |
| CARRARO Martina | 3 |
| AUBOCK Felix | 3 |
| APPLE Zach | 3 |
| SPAJARI Pedro | 2 |
| ROMANCHUK Mykhailo | 2 |
| KAWAMOTO Takeshi | 2 |
| DUMONT Valentine | 2 |
| CHIERIGHINI Marcelo | 2 |
| RYAN Shane | 1.5 |
| GROTHE Zane | 1.5 |
| DAHLIA Kelsi | 1.5 |
| MOROZOV Vladimir | 1 |
| MATSUMOTO Katsuhiro | 1 |
| MAJCHRZAK Kacper | 0.5 |
| KISIL Yuri | 0.5 |
| JACKSON Tate | 0.5 |
| HAYDEN Brent | 0.5 |
| van VLIET Tamara | 0 |
| de BOER Thom | 0 |
| WHITTLE Jacob | 0 |
| VAN ROON Valerie | 0 |
| TANDY Bradley | 0 |
| SILVA FRANCA Felipe | 0 |
| SHIOURA Shinri | 0 |
| SCHEFFER Fernando | 0 |
| SATO Aya | 0 |
| SANTOS Leonardo | 0 |
| SANTOS Gabriel | 0 |
| SAKAI Natsumi | 0 |
| QUAH Ting Wen | 0 |
| PIERONI Blake | 0 |
| PERRY Kylee | 0 |
| PELLEGRINI Federica | 0 |
| NTOUNTOUNAKI Anna | 0 |
| NAKAMURA Katsumi | 0 |
| McLAY Scott | 0 |
| McKEE Anton | 0 |
| MIZUNUMA Naoki | 0 |
| LOBANOVSZKIJ Maxim | 0 |
| LIMA Felipe | 0 |
| KRASNYKH Alexander | 0 |
| KOZELSKY Lindsey | 0 |
| HOPKIN Anna | 0 |
| HOPE Lucy | 0 |
| HONDA Tomoru | 0 |
| HINDLEY Isabella | 0 |
| GRASSI Santiago | 0 |
| FISCH Claire | 0 |
| FERREIRA Marco | 0 |
| CORREIA Breno | 0 |
| BECKER Bowe | 0 |
| ANDRUSENKO Veronika | 0 |
| SCHMITT Allison | -0.5 |
| MIGNON Clement | -0.5 |
| SMITH Rebecca | -1 |
| SMITH Giles | -1 |
| SMALL Meghan | -1 |
| SHEVTSOV Sergey | -1 |
| SELISKAR Andrew | -1 |
| SANTANA Matheus | -1 |
| SAHNOUNE Oussama | -1 |
| RASMUS Claire | -1 |
| PROUD Ben | -1 |
| OTTESEN Jeanette | -1 |
| O’CONNOR Siobhan-Marie | -1 |
| MATSUI Kosuke | -1 |
| MACHEKIN Artyom | -1 |
| LITCHFIELD Max | -1 |
| KOSEKI Yasuhiro | -1 |
| HOWARD Robert | -1 |
| GREENBANK Luke | -1 |
| GEER Margo | -1 |
| GALAT Bethany | -1 |
| FRATUS Bruno | -1 |
| CLOGG Elliot | -1 |
| CLAREBURT Lewis | -1 |
| BURCHILL Veronica | -1 |
| AOKI Tomomi | -1 |
| KUSCH Marius | -1.5 |
| ANDISON Bailey | -1.5 |
| WIERLING Damian | -2 |
| TOURETSKI Sasha Alexandra | -2 |
| TERAMURA Miho | -2 |
| SOMA Ai | -2 |
| SCOZZOLI Fabio | -2 |
| QUINTERO Cristian | -2 |
| POPRAWA Michal | -2 |
| LOY Andrew | -2 |
| LAUKKANEN Jenna | -2 |
| KUBOVA Simona | -2 |
| KAPAS Boglarka | -2 |
| GLINTA Robert | -2 |
| CHRISTOU Apostolos | -2 |
| BRO Signe | -2 |
| BILQUIST Amy | -2 |
| BAQLAH Khader | -2 |
| HINDS Natalie | -2.5 |
| GKOLOMEEV Kristian | -2.5 |
| SMITH Brendon | -3 |
| SHIRAI Rio | -3 |
| SHIMIZU Sakiko | -3 |
| PEBLEY Jacob | -3 |
| NIKOLAEV Mark | -3 |
| NEAL Lia | -3 |
| MACK Linnea | -3 |
| LOVEMORE Tayla | -3 |
| LEVEAUX Amaury | -3 |
| KOBORI Yuki | -3 |
| KENNEDY Madison | -3 |
| DELOOF Catie | -3 |
| CONCEICAO Jhennifer | -3 |
| BROWN Erika | -3 |
| BARKSDALE Emma | -3 |
| AOKI Reona | -3 |
| ANDERSON Haley | -3 |
| RULE Remedy | -3.5 |
| CHIMROVA Svetlana | -3.5 |
| CASTIGLIONI Arianna | -3.5 |
| THORMEYER Markus | -4 |
| TELEGDY Adam | -4 |
| SAMY Mohamed | -4 |
| RICHARDS Matthew | -4 |
| RESS Justin | -4 |
| IGARASHI Chihiro | -4 |
| HALL Candice | -4 |
| GREENE Darragh | -4 |
| BECKMANN Emilie | -4 |
| ANDREW Michael | -4 |
| TIMMERS Pieter | -4.5 |
| SWITKOWSKI Jan | -4.5 |
| SURKOVA Arina | -4.5 |
| SKIERKA Jakub | -4.5 |
| KAMENEVA Maria | -4.5 |
| DELOOF Ali | -4.5 |
| PERIBONIO Tomas | -5 |
| MARSH Alyssa | -5 |
| HULKKO Ida | -5 |
| GREVERS Matt | -5 |
| GASSON Helena | -5 |
| DRESSEL Sherridon | -5 |
| CLARK Imogen | -5 |
| CHERUTI Meiron | -5 |
| APOSTALON Anika | -5 |
| WEST Harriet | -5.5 |
| IMAI Runa | -5.5 |
| BASSETO Guilherme | -5.5 |
| VEKOVISHCHEV Mikhail | -6 |
| TETZLOFF Aly | -6 |
| STEWART Kendyl | -6 |
| SATO Shoma | -6 |
| PAPASTAMOS Apostolos | -6 |
| LAZOR Annie | -6 |
| BILIS Simonas | -6 |
| STJEPANOVIC Velimir | -6.5 |
| OLIVEIRA Larissa | -7 |
| McHUGH Conner | -7 |
| MIRESSI Alessandro | -7 |
| MELO Luiz Altamir | -7 |
| LICON Will | -7 |
| HANSSON Louise | -7 |
| GINGRICH Leah | -7 |
| EGOROVA Anna | -7 |
| DAWSON Kathleen | -7 |
| CIESLAK Marcin | -7 |
| LELLIOTT Jay | -7.5 |
| KESELY Ajna | -7.5 |
| GORBENKO Anastasia | -7.5 |
| DEMLER Kathrin | -7.5 |
| DAVIES Georgia | -7.5 |
| COLEMAN Michelle | -7.5 |
| CHADWICK Michael | -7.5 |
| WILLMOTT Aimee | -8 |
| VERRASZTO David | -8 |
| VAZAIOS Andreas | -8 |
| NASRETDINOVA Rosalia | -8 |
| McLAUGHLIN Katie | -8 |
| GUY James | -8 |
| TCHORZ Alicja | -8.5 |
| ROONEY Maxime | -8.5 |
| KONOPKA REID Katrina | -8.5 |
| ULYETT Jocelyn | -9 |
| SZARANEK Mark | -9 |
| STUPIN Max | -9 |
| PASYNKOV Daniil | -9 |
| MEYNEN Julie | -9 |
| LUDLOW Danica | -9 |
| HEIDTMANN Jacob | -9 |
| GREENSLADE Kathryn | -9 |
| FINK Nic | -9 |
| FESIKOV Sergey | -9 |
| FERTEL Kelly | -9 |
| BENTZ Gunnar | -9 |
| ALMEIDA Brandonn | -9 |
| USTINOVA Daria S | -10 |
| SIDLAUSKAS Andrius | -10 |
| HIBBOTT Holly | -10 |
| GALYER Ali | -10 |
| DRAKOU Theodora | -10 |
| DEVINE Abrahm | -10 |
| PRATT Cole | -10.5 |
| VASEY Sarah | -11 |
| SMITH Kierra | -11 |
| RENSHAW Molly | -11 |
| PILHATSCH Caroline | -11 |
| HARVEY Mary-Sophie | -11 |
| BURIAN Katalin | -11 |
| LANZA Vini | -11.5 |
| DARRAGH Mackenzie | -11.5 |
| ZEVINA Daria | -12 |
| USTINOVA Daria K | -12 |
| SANTI Fabio | -12 |
| PRENOT Josh | -12 |
| LARGE Emily | -12 |
| HARTING Zach | -12 |
| GOVOROV Andriy | -12 |
| GOLDING Chloe | -12 |
| KNOX Finlay | -12.5 |
| ZIRK Kregor | -13 |
| ZHILKIN Andrey | -13 |
| FINNERTY Ian | -13 |
| COPE Thomas | -13 |
| OVERHOLT Emily | -14 |
| TUCKER Miranda | -14.5 |
| UGOLKOVA Maria | -15 |
| SEBASTIAN Julia | -15 |
| BLACK Haley | -15 |
| de DEUS Leonardo | -16 |
| CARTER Dylan | -16 |
| SARGENT Makayla | -17 |
| PERSSON Erik | -17 |
| ORSI Marco | -17 |
| JAKABOS Zsuzsanna | -17 |
| WADDELL Tevyn | -17.5 |
| RIVOLTA Matteo | -18 |
| KLENZ Ramon | -18 |
| MEDEIROS Etiene | -19 |
| ESCOBEDO Emily | -19 |
| BRUCE Tain | -19 |
| TOUMARKIN Yakov | -20 |
| LITCHFIELD Joe | -20.5 |
| CORDES Kevin | -21 |
| STEWART Coleman | -22 |
| LARSON Breeja | -22 |
| HVAS Tomoe | -22 |
| MUNOZ del CAMPO Lidon | -22.5 |
| GUNES Viktoriya | -24 |
| VERRASZTO Evelyn | -26.5 |
| WILBY James | -28.5 |
| MURDOCH Ross | -29 |
Jackpots By Event
Here’s a breakdown by event. The first column shows how often a jackpot occurred in that event.
One really notable standout piece here: in six different events, we saw a jackpot every single time the event was swum across all 13 ISL meets. That suggests that either the league was relatively shallow in that event, or there were enough top-end standouts to have a jackpot candidate in every meet.
The events that had a jackpot in every single swim this year: men’s 50 fly, men’s 200 back, women’s 50 breast, women’s 200 back, women’s 400 IM, and women’s 50 free.
The second column tracks how often we saw a jackpot of at least 4 points. In an individual event, that would mean jackpotting at least the bottom three swimmers. In a relay, it would mean jackpotting at least the bottom two teams.
The third column tracks how often we saw a jackpot of at least 10 points. In an individual event, that would mean jackpotting at least half the field (the bottom four or more). In a relay, that would require jackpotting the bottom three.
The last two colums track the total points stolen across the season in that event, and then the average number of points jackpotted per time the event was swum. (Swims where no one hit a jackpot margin would count as zeroes in that average).
| Event | % of Swims With a Jackpot | % of Swims With a Jackpot of at least 4 Points | % of Swims with a Jackpot of at Least 10 Points | Total Points Jackpotted |
Mean/Average Points Jackpotted
|
| M 50 Butterfly | 100.0% | 61.5% | 46.2% | 98 | 7.5 |
| M 200 Backstroke | 100.0% | 38.5% | 30.8% | 71 | 5.5 |
| W 50 Breaststroke | 100.0% | 46.2% | 30.8% | 67 | 5.2 |
| W 200 Backstroke | 100.0% | 38.5% | 15.4% | 63 | 4.8 |
| W 400 Medley | 100.0% | 30.8% | 7.7% | 53 | 4.1 |
| W 50 Freestyle | 100.0% | 38.5% | 7.7% | 52 | 4.0 |
| M 50 Breaststroke | 92.3% | 46.2% | 38.5% | 88 | 6.8 |
| M 100 Medley | 92.3% | 23.1% | 23.1% | 72 | 5.5 |
| W 50 Butterfly | 92.3% | 38.5% | 30.8% | 69 | 5.3 |
| W 100 Backstroke | 92.3% | 61.5% | 7.7% | 62 | 4.8 |
| M 50 Backstroke | 92.3% | 38.5% | 15.4% | 54 | 4.2 |
| M 200 Butterfly | 92.3% | 38.5% | 15.4% | 53 | 4.1 |
| W 200 Medley | 92.3% | 23.1% | 15.4% | 45 | 3.5 |
| M 100 Butterfly | 92.3% | 38.5% | 0.0% | 43 | 3.3 |
| W 200 Freestyle | 84.6% | 30.8% | 7.7% | 50 | 3.8 |
| W 200 Butterfly | 84.6% | 30.8% | 23.1% | 49 | 3.8 |
| W 200 Breaststroke | 84.6% | 46.2% | 0.0% | 45 | 3.5 |
| W 50 Backstroke | 84.6% | 30.8% | 7.7% | 44 | 3.4 |
| M 400 Freestyle | 84.6% | 0.0% | 0.0% | 23 | 1.8 |
| M 50 Freestyle | 76.9% | 30.8% | 23.1% | 55 | 4.2 |
| M 100 Breaststroke | 76.9% | 30.8% | 7.7% | 40 | 3.1 |
| W 100 Freestyle | 76.9% | 23.1% | 7.7% | 31 | 2.4 |
| M 200 Medley | 76.9% | 15.4% | 0.0% | 26 | 2.0 |
| M 200 Breaststroke | 69.2% | 30.8% | 23.1% | 56 | 4.3 |
| W 4 x 100 Freestyle Relay | 69.2% | 46.2% | 7.7% | 56 | 4.3 |
| W 400 Freestyle | 69.2% | 23.1% | 7.7% | 36 | 2.8 |
| W 100 Butterfly | 69.2% | 7.7% | 0.0% | 22 | 1.7 |
| M 200 Freestyle | 69.2% | 0.0% | 0.0% | 15 | 1.2 |
| W 50 Butterfly Skin | 66.7% | 33.3% | 0.0% | 6 | 2.0 |
| W 100 Breaststroke | 61.5% | 23.1% | 7.7% | 32 | 2.5 |
| W 100 Medley | 61.5% | 15.4% | 7.7% | 28 | 2.2 |
| M 400 Medley | 61.5% | 0.0% | 0.0% | 18 | 1.4 |
| M 100 Backstroke | 53.8% | 7.7% | 0.0% | 18 | 1.4 |
| M 50 Backstroke Skin | 46.7% | 26.7% | 6.7% | 43 | 2.9 |
| M 100 Freestyle | 46.2% | 0.0% | 0.0% | 10 | 0.8 |
| W 50 Breaststroke Skin | 44.4% | 22.2% | 0.0% | 32 | 1.8 |
| M 4 x 100 Freestyle Relay | 38.5% | 7.7% | 0.0% | 14 | 1.1 |
| M 4 x 100 Medley Relay | 38.5% | 0.0% | 0.0% | 10 | 0.8 |
| M 50 Breaststroke Skin | 33.3% | 13.3% | 6.7% | 21 | 1.4 |
| W 50 Backstroke Skin | 33.3% | 22.2% | 0.0% | 12 | 1.3 |
| W 50 Freestyle Skin | 33.3% | 22.2% | 0.0% | 11 | 1.2 |
| W 4 x 100 Medley Relay | 30.8% | 0.0% | 0.0% | 8 | 0.6 |
| M 50 Butterfly Skin | 16.7% | 0.0% | 0.0% | 1 | 0.2 |
| Mixed 4 x 100 Free Relay | 7.7% | 0.0% | 0.0% | 2 | 0.2 |
| M 50 Freestyle Skin | 0.0% | 0.0% | 0.0% | 0 | 0.0 |
It’s a great summary.
I would also read an article with pleasure about the events according to most different winners during the meets.
And an other about why Mireia Belmonte missed this season – but perhaps I avoided the info accidentally.
Whilst I’ve not done the full maths, I presume LA finished 6th in the net jackpot ranking because they had the “misfortune” to swim the final and therefore lose more points!
It would be interesting to see the team score for each match without the jackpot and the final ranking