[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.] #  @KasperStats Michael Kasper Michael Kasper posts on X about avg, playing, gdp, mlb the most. They currently have XXXXX followers and XXX posts still getting attention that total XXXXXXX engagements in the last XX hours. ### Engagements: XXXXXXX [#](/creator/twitter::3185506537/interactions)  - X Week XXXXXXXXX +24,361% - X Month XXXXXXXXX +457% - X Months XXXXXXXXX +174% - X Year XXXXXXXXX -XX% ### Mentions: XX [#](/creator/twitter::3185506537/posts_active)  - X Week XX +9.50% - X Month XX +146% - X Months XXX -XXXX% - X Year XXX +15% ### Followers: XXXXX [#](/creator/twitter::3185506537/followers)  - X Week XXXXX +5.90% - X Month XXXXX +20% - X Months XXXXX +22% - X Year XXXXX +11% ### CreatorRank: XXXXXXX [#](/creator/twitter::3185506537/influencer_rank)  ### Social Influence [#](/creator/twitter::3185506537/influence) --- **Social topic influence** [avg](/topic/avg) #44, [playing](/topic/playing), [gdp](/topic/gdp), [mlb](/topic/mlb), [productivity](/topic/productivity) ### Top Social Posts [#](/creator/twitter::3185506537/posts) --- Top posts by engagements in the last XX hours "@werter34r I'm writing a pretty long-form and in-depth article that'll come out (hopefully later this month) and it talks about how a lot of those peripheral metrics (exit velo launch angle etc.) can't correlate well to things like RUNS because there's so much noise and the distributio"  [@KasperStats](/creator/x/KasperStats) on [X](/post/tweet/1947313202942881801) 2025-07-21 15:10:21 UTC 2256 followers, XX engagements "@BravesStash Here's an example of what I mean -- OPS outperformed AVG as a predictor of run scoring in XX straight seasons even before OPS existed as a concept. The game DEFINITELY changed in this time span (imagine guys from '72 playing guys in 2022 😂) but the important metrics didn't"  [@KasperStats](/creator/x/KasperStats) on [X](/post/tweet/1939704482520035802) 2025-06-30 15:16:01 UTC 2280 followers, 14.2K engagements "To be clear they're making it look like they're claiming accuracy in the measurement process to the TEN BILLIONTH of a foot"  [@KasperStats](/creator/x/KasperStats) on [X](/post/tweet/1945107011860926872) 2025-07-15 13:03:44 UTC 2280 followers, 2.1M engagements "OPS is to baseball what GDP is to economics; it has no business being as good of a metric as it is and yet"  [@KasperStats](/creator/x/KasperStats) on [X](/post/tweet/1946989859979055203) 2025-07-20 17:45:30 UTC 2283 followers, 145.5K engagements "@philliesandawgs So that's not QUITE the right takeaway and in retrospect I should've left avg. exit velo off -- it is a PERIPHERAL metric (rather than an events-based one like "walks" or "batting average") and peripheral metrics will never correlate well with final results like runs when"  [@KasperStats](/creator/x/KasperStats) on [X](/post/tweet/1946989229453516879) 2025-07-20 17:43:00 UTC 2280 followers, 1417 engagements "It's probably time the correlations list got updated so here we go XX years of MLB seasons (300 team-seasons of data) spanning 22763 games and over XXX million pitches. This shows the relative impact that various stats have on a team's ability to score runs"  [@KasperStats](/creator/x/KasperStats) on [X](/post/tweet/1946828722025226432) 2025-07-20 07:05:12 UTC 2280 followers, 187.4K engagements "big fan of Pringles-in-bed with computer-in-bed"  [@KasperStats](/creator/x/KasperStats) on [X](/post/tweet/1946649207407816731) 2025-07-19 19:11:52 UTC 2005 followers, XXX engagements "@werter34r This is a great point yes -- just because something doesn't correlate well to runs/game doesn't mean it's a *bad* stat especially things like BB % or exit velo. I included some of those for some variation but things like exit velo and other peripheral metrics shouldn't"  [@KasperStats](/creator/x/KasperStats) on [X](/post/tweet/1947309291800506628) 2025-07-21 14:54:49 UTC 2280 followers, XX engagements "@Daviscornell2 @GreatWhite85 @RyanGarciaESM To be fair there are much worse stats they just weren't included -- and this is TEAM-specific as well. but when I've done player-specific correlations between contact % and OPS it's very clear that how frequently you put the ball in play has no impact on productivity"  [@KasperStats](/creator/x/KasperStats) on [X](/post/tweet/1947340150163243066) 2025-07-21 16:57:26 UTC 2275 followers, XX engagements "I have zero doubt they did NOT intend to present it this way it's just when you're storing a decimal number you might as well store as much of it as you can. but it woulda been a non-issue if they just said "470.5 and 470.6""  [@KasperStats](/creator/x/KasperStats) on [X](/post/tweet/1945129018870698481) 2025-07-15 14:31:11 UTC 2005 followers, 62.7K engagements "@werter34r And the other reason I like including the xStats is not that their main goal IS to correlate to real results but rather to show that things like xwOBA STILL correlate higher than say batting average"  [@KasperStats](/creator/x/KasperStats) on [X](/post/tweet/1947310579607105937) 2025-07-21 14:59:56 UTC 2249 followers, XX engagements "@ProGenitor09 @YankeesFiles For the most part I took away either a) peripheral metrics (which will never correlate well with results like runs they need to be correlated to intermediary results metrics like OPS/wOBA) and also non-rate stats like "number of singles." Those"  [@KasperStats](/creator/x/KasperStats) on [X](/post/tweet/1946998677874049339) 2025-07-20 18:20:32 UTC 2280 followers, 2532 engagements
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
@KasperStats Michael Kasper
Michael Kasper posts on X about avg, playing, gdp, mlb the most. They currently have XXXXX followers and XXX posts still getting attention that total XXXXXXX engagements in the last XX hours.
Engagements: XXXXXXX #
- X Week XXXXXXXXX +24,361%
- X Month XXXXXXXXX +457%
- X Months XXXXXXXXX +174%
- X Year XXXXXXXXX -XX%
Mentions: XX #
- X Week XX +9.50%
- X Month XX +146%
- X Months XXX -XXXX%
- X Year XXX +15%
Followers: XXXXX #
- X Week XXXXX +5.90%
- X Month XXXXX +20%
- X Months XXXXX +22%
- X Year XXXXX +11%
CreatorRank: XXXXXXX #
Social Influence #
Social topic influence avg #44, playing, gdp, mlb, productivity
Top Social Posts #
Top posts by engagements in the last XX hours
"@werter34r I'm writing a pretty long-form and in-depth article that'll come out (hopefully later this month) and it talks about how a lot of those peripheral metrics (exit velo launch angle etc.) can't correlate well to things like RUNS because there's so much noise and the distributio"
@KasperStats on X 2025-07-21 15:10:21 UTC 2256 followers, XX engagements
"@BravesStash Here's an example of what I mean -- OPS outperformed AVG as a predictor of run scoring in XX straight seasons even before OPS existed as a concept. The game DEFINITELY changed in this time span (imagine guys from '72 playing guys in 2022 😂) but the important metrics didn't" @KasperStats on X 2025-06-30 15:16:01 UTC 2280 followers, 14.2K engagements
"To be clear they're making it look like they're claiming accuracy in the measurement process to the TEN BILLIONTH of a foot" @KasperStats on X 2025-07-15 13:03:44 UTC 2280 followers, 2.1M engagements
"OPS is to baseball what GDP is to economics; it has no business being as good of a metric as it is and yet" @KasperStats on X 2025-07-20 17:45:30 UTC 2283 followers, 145.5K engagements
"@philliesandawgs So that's not QUITE the right takeaway and in retrospect I should've left avg. exit velo off -- it is a PERIPHERAL metric (rather than an events-based one like "walks" or "batting average") and peripheral metrics will never correlate well with final results like runs when" @KasperStats on X 2025-07-20 17:43:00 UTC 2280 followers, 1417 engagements
"It's probably time the correlations list got updated so here we go XX years of MLB seasons (300 team-seasons of data) spanning 22763 games and over XXX million pitches. This shows the relative impact that various stats have on a team's ability to score runs" @KasperStats on X 2025-07-20 07:05:12 UTC 2280 followers, 187.4K engagements
"big fan of Pringles-in-bed with computer-in-bed" @KasperStats on X 2025-07-19 19:11:52 UTC 2005 followers, XXX engagements
"@werter34r This is a great point yes -- just because something doesn't correlate well to runs/game doesn't mean it's a bad stat especially things like BB % or exit velo. I included some of those for some variation but things like exit velo and other peripheral metrics shouldn't" @KasperStats on X 2025-07-21 14:54:49 UTC 2280 followers, XX engagements
"@Daviscornell2 @GreatWhite85 @RyanGarciaESM To be fair there are much worse stats they just weren't included -- and this is TEAM-specific as well. but when I've done player-specific correlations between contact % and OPS it's very clear that how frequently you put the ball in play has no impact on productivity" @KasperStats on X 2025-07-21 16:57:26 UTC 2275 followers, XX engagements
"I have zero doubt they did NOT intend to present it this way it's just when you're storing a decimal number you might as well store as much of it as you can. but it woulda been a non-issue if they just said "470.5 and 470.6"" @KasperStats on X 2025-07-15 14:31:11 UTC 2005 followers, 62.7K engagements
"@werter34r And the other reason I like including the xStats is not that their main goal IS to correlate to real results but rather to show that things like xwOBA STILL correlate higher than say batting average" @KasperStats on X 2025-07-21 14:59:56 UTC 2249 followers, XX engagements
"@ProGenitor09 @YankeesFiles For the most part I took away either a) peripheral metrics (which will never correlate well with results like runs they need to be correlated to intermediary results metrics like OPS/wOBA) and also non-rate stats like "number of singles." Those" @KasperStats on X 2025-07-20 18:20:32 UTC 2280 followers, 2532 engagements