Every pitch call happens in context. A changeup that gets a weak ground ball at 0-2 might get hammered on a 2-0 count. A fastball middle that works against right-handed hitters may get pulled when the batter is left-handed. The aggregate game report tells you what happened over the full outing—but it cannot tell you when each pitch type and location actually worked.
That gap is exactly what Pitch Call Analysis in Pitch MetRx is built to close. It takes the same pitch-by-pitch log you build from the dugout and breaks it down across every balls-strikes count, every pitch type, and every location variant—so coaches and pitch callers can see not just which pitches are effective, but at which counts and in which parts of the zone they are getting results.
What Pitch Call Analysis shows you
Pitch Call Analysis is a dedicated report view inside Pitch MetRx, accessible from post-game reports, mid-game reports, lifetime statistics, and custom date-range reports. Tap Pitch Call Analysis on any of those reports and the app opens a full breakdown organized around three dimensions:
- Count — every standard balls-strikes situation from 0-0 through 3-2
- Pitch type — fastball, changeup, rise, drop, curve, and any custom types you define
- Location — inside, middle, or outside for each pitch type (e.g., Fastball Inside vs. Fastball Outside)
For each combination, Pitch MetRx calculates the same rich metrics you see in the main game report: usage percentage, strike percentage, WHIFF%, Freeze %, BAA, SLG%, ground ball/line drive/fly ball splits, and more. You can step through counts with a dropdown—start at 0-0 (first pitch), move to ahead counts like 0-2, check behind counts like 3-1, and finish at 3-2 (full count)—and see exactly how each pitch performed in that situation.
The report also includes a BAA and SLG% by count summary table at the top, giving you a quick read on overall effectiveness in each count before you drill into individual pitch types.
Why metrics by count matter
Aggregate stats hide the sequencing story. A pitcher might throw 65% strikes overall while consistently falling behind early—and the damage shows up in the counts where hitters have leverage, not in the final strike percentage.
Pitch Call Analysis surfaces that story count by count:
First pitch (0-0): This is where FPS% lives, and it is the foundation of every at-bat. Seeing which pitch types and locations get strikes—and weak contact—on the first throw tells you what to lead with. If your pitcher's riseball outside is generating called strikes and weak fouls at 0-0 but their fastball middle is getting hit hard, that is a sequencing decision you can act on immediately. For more on first-pitch strike value, see our guide on first-pitch strikes and WHIFF%.
Ahead counts (0-1, 0-2, 1-2, 2-2): When your pitcher has the advantage, you want to know which pitches finish at-bats and which ones hitters are laying off or fighting off. A high WHIFF% on a dropball at 0-2 is a putaway weapon. A pitch with zero swings at 0-2 might be too good to hit—or simply not being thrown in the right spot. Count-level data removes the guesswork.
Behind counts (1-0, 2-0, 3-0, 2-1, 3-1): These are the counts where walks and hard contact tend to pile up. Pitch Call Analysis shows which pitches get back in the zone without getting crushed. Maybe your pitcher's changeup middle gets chases at 1-1 but gets hit on a line at 2-0 when they need a strike. That is actionable intelligence for the next mound visit—not a vague "stop falling behind."
Full count (3-2): Every pitch matters. Knowing which pitch type and location has historically produced the best outcomes at 3-2—across a single game or a full season—gives your pitch caller a data-backed answer when the game is on the line.
Why pitch type and location together change the picture
Most charting tools stop at pitch type. Pitch MetRx goes one level deeper by tracking location as part of the pitch label—Fastball Inside, Fastball Middle, Fastball Outside, Changeup Inside, and so on.
That distinction matters because the same pitch type in a different part of the zone produces completely different results. A curveball that breaks over the outside corner might carry a .150 BAA and a 30% WHIFF%, while the same curveball hung middle sits at .400 BAA with line drives and fly balls. Rolled into a single "curveball" line, those two outcomes cancel each other out. Separated by location, the picture is clear: throw it outside, not middle.
Pitch Call Analysis applies this location split at every count. You might discover that:
- Fastball outside at 0-0 gets strikes 70% of the time, but fastball middle at 0-0 gets hit at a .350 clip
- Changeup low-and-away is your best two-strike pitch against left-handed hitters, but changeup middle gets barreled at 1-1
- Your riseball inside works ahead in the count but gets taken for balls when thrown behind
These are the insights that turn a pitcher's "stuff" into a repeatable game plan—and they only appear when type and location are tracked together, then sliced by count.
Left-handed vs. right-handed batter splits
Matchups matter. A pitch that dominates right-handed hitters at 0-2 might get pulled by lefties in the same count. Pitch Call Analysis includes a batter handedness filter—ALL, LH, or RH—so you can isolate how your pitcher's arsenal performs against each side of the plate.
Switch the filter and the entire breakdown refreshes: the count-by-count table, the BAA/SLG summary, and the AI-generated pitch call summary all update for the selected handedness. That makes it easy to build separate sequencing plans for lefty and righty matchups without running two separate reports.
AI pitch call summary
At the top of every Pitch Call Analysis view, Pitch MetRx generates an AI-powered Pitch Call Summary based on the count breakdown data. It highlights patterns in ahead counts, behind counts, and offers practical sequencing recommendations—all grounded in the actual numbers from your pitch log.
The summary respects sample sizes (a pitch thrown twice at 0-2 gets noted as a small sample, not treated as gospel) and uses your exact pitch type labels from the log. It is a fast starting point for post-game conversations or pre-game planning, especially when you are reviewing a multi-game custom report or a full season of lifetime data.
Export, share, and use mid-game
Pitch Call Analysis is not locked to post-game review. From a live game, open the mid-game report and tap Pitch Call Analysis to see count-level breakdowns updating pitch by pitch—useful when something feels off and you need data before the next inning, not after the final out.
When you are ready to share, export the full analysis as a PDF or CSV. The PDF is formatted for staff meetings, parent conversations, or recruiting packets. The CSV gives you raw count-by-count data for deeper spreadsheet work if your program wants it.
Lifetime and custom date-range reports work the same way: select the games or date span, open Pitch Call Analysis, and see how sequencing patterns hold up over time. That is how you spot whether a pitcher's 0-0 approach is improving across a season or whether a new grip change is showing up in the behind-count numbers. For season-long tracking ideas, see how to track pitcher development over a season.
A practical workflow for pitch callers
Here is how coaches and pitch callers are using Pitch Call Analysis in the dugout and bullpen:
Pre-game: Pull up lifetime Pitch Call Analysis filtered by the opposing lineup's predominant handedness. Identify the top two pitches at 0-0 and the best putaway options at 0-2 and 1-2. Build your wristband or call sheet around what the data supports—not what worked last month against a different team.
Mid-game: If your pitcher is struggling, open Pitch Call Analysis from the mid-game report. Check whether the issue is count-specific (falling behind on first pitches) or pitch-specific (one location getting hit regardless of count). That tells you whether the fix is sequencing or execution.
Post-game: Review the AI summary, then walk through the count dropdown with your pitcher. Celebrate the counts and locations where BAA was low and WHIFF% was high. Pick one behind-count situation to address in the next bullpen session.
Season review: Run a custom report across the last six weeks and compare ahead-count vs. behind-count effectiveness. Pair it with spray charts to connect sequencing decisions to where balls are being hit—and build a development plan that targets specific counts and locations, not just "throw more strikes."
The foundation: log every pitch, every count
Pitch Call Analysis is only as good as the log behind it. That is why Pitch MetRx is designed for live logging from the dugout: tap pitch type, location, outcome, and batter handedness on every throw, and the app handles count advancement, stat calculation, and report generation automatically.
The payoff is a level of detail that paper charts and post-game memory cannot match. Instead of "the changeup was good today," you get "changeup outside at 0-2: 8 pitches, 62% WHIFF%, .125 BAA." That is the difference between a feel-based conversation and one that changes what your pitcher throws on the next first pitch.
Pitch MetRx is a pitching analytics platform for baseball and softball coaches who want count-level detail without spreadsheet work. Log pitches live, open Pitch Call Analysis from any report, and build sequencing plans backed by pitch type, location, and balls-strikes data.
Ready to see what your pitcher's count breakdown looks like? Start your free trial today.