How MLB strikeouts actually behave

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Across 397 MLB players with at least 10 logged games in strikeouts, this page measures 7638 games in total. The median player in that field averages 1.3 strikeouts. The line closest to a coin flip sits at 1.5 for the median of the 397 players whose distribution supports one. Half the field is more often over it, half more often under. The deepest sample here is Hunter Gaddis, with 41 logged games. Of the 289 players whose spread can be measured, 25 cluster tightly around their average, 138 vary moderately and 126 swing widely. 396 of them have at least three games home and away, so the venue gap below is measured rather than assumed. Every figure is counted from official box scores and describes games already played. It is not a projection, and on its own it says nothing about whether any price on offer is worth taking.

Measured as of 2026-11-15, rebuilt daily from official box scores. Window: 2026-07-18 to 2026-10-28. No prices appear on this page.

7,638 logged player-games from 1,010 unique games. A player-game is one player in one game, so a single game counts once for every player it logged.

Where the coin-flip line sits in MLB strikeouts

Each player's own most balanced threshold: the half-point line he has finished above in closest to half his logged games, measured from his distribution rather than read off a book. Deepest sample first, not best to worst. The 40 deepest samples of 397 measured; the figures above this table are over all 397.

MLB strikeouts: measured field
PlayerClubLogged gamesAverageBalanced lineHit rate there
Hunter GaddisGuardians410.9 strikeoutsOver 0.527 of 41 (66%)
Kevin KellyRays390.9 strikeoutsOver 0.523 of 39 (59%)
Aaron AshbyBrewers381.6 strikeoutsOver 1.519 of 38 (50%)
Brent HeadrickYankees361.3 strikeoutsOver 1.514 of 36 (39%)
Bryan BakerRays360.8 strikeoutsOver 0.520 of 36 (56%)
Cade SmithGuardians361.6 strikeoutsOver 1.517 of 36 (47%)
Bradgley RodriguezPadres351.4 strikeoutsOver 1.519 of 35 (54%)
Cam BooserRays350.7 strikeoutsOver 0.519 of 35 (54%)
Alex VesiaDodgers341.0 strikeoutsOver 0.523 of 34 (68%)
Bryan AbreuAstros341.4 strikeoutsOver 1.514 of 34 (41%)
Yuki MatsuiPadres341.1 strikeoutsOver 1.510 of 34 (29%)
Adrian MorejonPadres331.5 strikeoutsOver 1.517 of 33 (52%)
Erik SabrowskiGuardians331.1 strikeoutsOver 1.510 of 33 (30%)
Evan PhillipsDodgers331.0 strikeoutsOver 0.521 of 33 (64%)
Mason FluhartyBlue Jays330.6 strikeoutsOver 0.515 of 33 (45%)
Paul BlackburnYankees331.0 strikeoutsOver 0.520 of 33 (61%)
Raisel IglesiasBraves330.9 strikeoutsOver 0.519 of 33 (58%)
Tanner ScottDodgers331.2 strikeoutsOver 1.513 of 33 (39%)
Tim HerrinGuardians331.0 strikeoutsOver 0.521 of 33 (64%)
Trevor MegillBrewers331.0 strikeoutsOver 0.523 of 33 (70%)
Tyler AlexanderRangers330.7 strikeoutsOver 0.518 of 33 (55%)
Abner UribeBrewers321.2 strikeoutsOver 1.511 of 32 (34%)
Didier FuentesBraves321.7 strikeoutsOver 1.516 of 32 (50%)
Dylan LeeBraves320.9 strikeoutsOver 0.523 of 32 (72%)
Kevin GinkelDiamondbacks321.0 strikeoutsOver 0.519 of 32 (59%)
Kody FunderburkTwins321.0 strikeoutsOver 0.523 of 32 (72%)
Mason MontgomeryPirates321.6 strikeoutsOver 1.517 of 32 (53%)
Antonio SenzatelaBrewers310.7 strikeoutsOver 0.518 of 31 (58%)
Bennett SousaAstros310.9 strikeoutsOver 0.520 of 31 (65%)
Bryan HudsonWhite Sox310.6 strikeoutsOver 0.515 of 31 (48%)
Chase SilsethRangers310.9 strikeoutsOver 0.520 of 31 (65%)
Elvis AlvaradoAthletics311.0 strikeoutsOver 0.522 of 31 (71%)
Justin BruihlCardinals310.7 strikeoutsOver 0.515 of 31 (48%)
Rico GarciaOrioles310.8 strikeoutsOver 0.516 of 31 (52%)
AJ BlubaughAstros301.2 strikeoutsOver 1.511 of 30 (37%)
Braydon FisherBlue Jays300.9 strikeoutsOver 0.521 of 30 (70%)
David BednarYankees301.1 strikeoutsOver 1.58 of 30 (27%)
Josh HaderAstros301.1 strikeoutsOver 0.521 of 30 (70%)
Luis GastelumCardinals301.3 strikeoutsOver 1.515 of 30 (50%)
Mason MillerPadres302.0 strikeoutsOver 1.521 of 30 (70%)

The steadiest MLB strikeouts records

Standard deviation in the market’s own units, and the same figure as a share of the player’s average so it means the same thing in points as in passing yards. A narrow spread means the average is close to what a typical game actually looked like; it says nothing about what the next one will look like.

The steadiest MLB strikeouts records
PlayerClubLogged gamesAverageStandard deviationSpread as % of average
Troy MeltonTigers114.0 strikeouts0.718%
Kyle BradishOrioles103.6 strikeouts0.822%
Christian ScottMets106.2 strikeouts1.524%
Max FriedYankees125.6 strikeouts1.425%
Bryan WooMariners126.1 strikeouts1.626%
Sonny GrayRed Sox135.3 strikeouts1.427%
Chase BurnsReds116.1 strikeouts1.627%
Chris SaleBraves128.0 strikeouts2.228%
Cristopher SánchezPhillies146.6 strikeouts1.929%
Hayden WesneskiAstros114.2 strikeouts1.229%

The widest MLB strikeouts swings

The other end of the same measurement. A wide spread means the average describes the middle of a broad range rather than a typical night, which is worth knowing before reading anything into that average.

The widest MLB strikeouts swings
PlayerClubLogged gamesAverageStandard deviationSpread as % of average
Alec GamboaRed Sox181.0 strikeouts1.3133%
Chad PatrickBrewers271.1 strikeouts1.4120%
Danny YoungBraves111.0 strikeouts1.1113%
Colin ReaCubs141.8 strikeouts2.0110%
Chase ShugartPhillies201.3 strikeouts1.4110%
Tyler WellsRays291.1 strikeouts1.2108%
Erik TolmanNationals151.1 strikeouts1.2106%
Ray KerrBraves111.5 strikeouts1.6105%
Cole WinnRangers151.1 strikeouts1.1105%
Casey LeguminaRays241.1 strikeouts1.2104%

The widest home and away gaps in MLB strikeouts

Both averages are over the games actually played at each venue, and the game count for each is in the cell beside it. A gap measured over a handful of games either way is one you cannot distinguish from noise. This table prints the denominators so you can tell which is which. Three games a side is the floor for appearing here at all.

MLB strikeouts: venue gaps
PlayerClubHome (games)Away (games)Gap
Gavin WilliamsGuardians10.0 (12)5.4 (5)4.6 at home
Zack WheelerPhillies8.0 (7)4.6 (7)3.4 at home
Griffin JaxRays6.2 (6)2.8 (5)3.4 at home
Kyle HarrisonBrewers5.5 (4)2.6 (7)2.9 at home
Cal QuantrillRangers3.0 (7)5.8 (5)2.8 away
Luis CastilloWhite Sox4.3 (4)2.0 (7)2.3 at home
Tatsuya ImaiAstros4.3 (6)2.0 (4)2.3 at home
Jake BennettRed Sox3.6 (5)5.8 (6)2.2 away
Brandon PfaadtDiamondbacks3.1 (7)5.2 (6)2.1 away
Cade WinquestCardinals3.0 (3)0.9 (8)2.1 at home

Ahead of their own baseline over the last five

Last five logged games against the full log, reported only where the gap is more than a tenth of the player’s own average. It is a description of five games that have been played and it is not a forecast of the sixth.

Ahead of their own baseline over the last five
PlayerClubLast 5Full logDifference
Spencer MilesBlue Jays3.0 strikeouts1.5 over 22106% above
Anthony GoseRoyals1.0 strikeouts0.5 over 14100% above
Jacob WaguespackTigers2.0 strikeouts1.0 over 2693% above
Andrew MorrisTwins1.4 strikeouts0.8 over 2887% above
Seth HalvorsenDodgers1.0 strikeouts0.5 over 1183% above
Aaron AshbyBrewers2.8 strikeouts1.6 over 3880% above
Pierce JohnsonReds1.2 strikeouts0.7 over 2576% above
Jimmy HergetRockies1.4 strikeouts0.8 over 2575% above
Juan MejiaRockies1.4 strikeouts0.8 over 2772% above
Peyton GrayRangers1.8 strikeouts1.0 over 2272% above

Behind their own baseline over the last five

The same comparison in the other direction, and the same caveat: five games is five games, and a run below a baseline is as often noise as it is a change.

Behind their own baseline over the last five
PlayerClubLast 5Full logDifference
Mason FluhartyBlue Jays0.0 strikeouts0.6 over 33100% below
Bryan HudsonWhite Sox0.0 strikeouts0.6 over 31100% below
Robert GarciaRangers0.0 strikeouts0.5 over 11100% below
Matt FestaGuardians0.2 strikeouts1.1 over 2883% below
Tim HerrinGuardians0.2 strikeouts1.0 over 3379% below
Paul BlackburnYankees0.2 strikeouts1.0 over 3379% below
Tim MayzaPhillies0.2 strikeouts0.9 over 2477% below
Aaron CivaleCubs0.4 strikeouts1.7 over 1977% below
MacKenzie GoreRangers1.0 strikeouts4.2 over 1476% below
Anthony KayWhite Sox0.8 strikeouts3.1 over 1774% below

Common questions

Where does the MLB strikeouts coin-flip line sit?

At the half-point threshold each player has finished above in about half their logged games. It is measured per player from their own distribution rather than read off a sportsbook, which is why it is on this page at all: a posted line moves through the day and this page is rebuilt once, so a number taken from a book would be wrong by morning.

Is this a ranking of the best MLB strikeouts props?

No. Nothing here is ordered by how good a bet it is, and no price is quoted anywhere on the page. The tables are ordered by sample depth, by spread and by the size of a measured gap, because those are the things a game log can actually establish.

How many games are behind each strikeouts figure?

The count is printed beside every one of them. A player only appears once they have ten or more logged games in the market, and games they did not play are absent rather than counted as zero, so an average describes games they were actually in.

Does a strikeouts trend on this page predict the next game?

No. A trend here is a comparison between a player’s last five logged games and their full log, and it is reported only when the gap is large enough to be worth naming. It is a description of what has happened, and history is not a forecast.

What these tables are measuring, explained: how to read a hit rate and what its denominator hides, what an over/under line is and what it is not.

MLB player props and live odds

Odds and lines come from licensed data feeds and refresh on a schedule; hit rates and grades are Parlay Builder’s own calculations.