Saturday Film → Monday Growth: How you can use Microsoft Power Platform to level up your player grading experience.

It’s Saturday in the fieldhouse. You’re rolling through last night’s game with your staff. The goal isn’t to “get through the tape”—it’s to walk out with player‑by‑player statistics, clean per‑play grades, and a short list of reps each kid needs next week.

Here’s how to do it:

  1. A simple grading and stats workflow that every position coach can run while you watch film, and
  2. A practical Power Platform setup (Dataverse + model‑driven app + canvas app) that makes it quick to build and easy to maintain.

What the app does (for coaches)

  • Play timeline + on‑field roster: Each snap shows who was on the field.
  • Position tabs: OL, QB, RB, WR/TE, DL, LB, DB, ST—each with fields that make sense for that room.
  • Per‑player, per‑play grades: Tap a quick rubric—+ (win), 0 (stalemate),  (loss), ME (mental error)—and add one short note only if it changes Monday.
  • Automatic player stats: Touches/targets, yards (coarse), explosives, pressures allowed/created, tackles, penalties, plus Grade % and ME rate.
  • Data revelations: The app highlights patterns—consistency streaks, repeated technique flags, situational strengths/weaknesses—so you can assign specific reps for the week.

The Saturday flow (90 minutes that change Monday)

Pass 1: Grade your room
Each position coach stays on their tab and grades their players on every play as the film rolls.

  • QB: Decision (+/0/–/ME), ball placement (+/0/–), pocket operation (+/0/–).
  • RB: Run read/finish (+/0/–), yards after contact (quick tap), pass‑pro (+/0/–/ME).
  • WR/TE: Alignment/assignment (ME when off), release/route (+/0/–), target outcome, perimeter block (+/0/–).
  • OL: Assignment (ME if miss), block result (+/0/–), quick technique note (“late hands”), pressure/sack accountability.
  • DL/LB/DB: Alignment/leverage or key/fit (+/0/–/ME), coverage/tackle outcome, impact plays (TFL, PBU, pressure).
  • ST: Unit role, job result (+/0/–/ME), impact (tackle, return, block, snap/hold/kick).

Pass 2: Tag teaching reps
Rewind short sequences. Add one‑phrase notes only where they change Monday’s practice (“Stick at 12y top,” “IZ double—strike timing,” “scan ID late vs. 5‑man”).

Read the revelations
The app surfaces:

  • Consistency streaks (runs of + or ),
  • Technique flags that repeat by keyword (route depth, late hands, fit late),
  • Situational splits (e.g., 3rd‑and‑medium, low red),
  • Accountability tags on sacks/explosives (shared across positions).

You finish with a one‑page Team Sheetrep tickets per player, and position meeting bullet points.

The grading rubric (keep it simple)

  • + Win: Executed assignment with technique that created/prevented yards.
  • 0 Stalemate: Did the job; didn’t move the needle.
  •  Loss: Beaten physically/technically.
  • ME Mental Error: Wrong assignment/alignment/ID (use one ME per snap per player).

ME rate = (ME plays ÷ graded plays) × 100. It’s the clearest signal for decision‑making and alignment problems; technique losses stay  with a note.

What players see on Monday (private)

Each athlete opens a personal view with:

  • Grade %ME rate, and 3–5 simple stats (touches/targets/explosives or havoc plays),
  • One weekly goal tied to the reps you’ve already scheduled.
    No leaderboards, no public comparisons—just clear, actionable feedback.

Build it fast with Power Platform

(Dataverse + model‑driven app + canvas app)

You don’t have to code this from scratch. A clean split speeds you up and keeps the data trustworthy.

1) Dataverse = your “record book”

Create Dataverse tables for PlayerGamePlayOn‑Field (who played each snap), and Grade (one row per player per play with + / 0 / – / ME). Dataverse gives you a secure, relational store that both apps can use—one source of truth.

  • Formula columns (Power Fx) handle flags like IsME or compute simple numbers.
  • Rollup/Calculated columns handle totals per Player‑Game (e.g., ME count, graded snaps) and derived metrics like ME rate—so the math lives with the data.
  • Security roles keep access tight (Head Coach, Position Coach, Player). Dataverse uses role‑based security so coaches can grade, while players see only their own rows.

2) Model‑driven app = the “back office” for staff

Stand up a model‑driven app over those tables for admin chores: importing rosters/opponents, fixing typos, bulk editing, and sanity checks. Model‑driven apps give you forms, views, dashboards with little/no code—perfect for the cleanup work you don’t want to custom‑build.

  • Turn on editable grids to mass‑update grades or correct a run of snaps in place.
  • Add business rules (no code) to prevent bad saves (e.g., if On‑Field = true, Grade is required; don’t allow ME and +together).

3) Canvas app = the Saturday grading experience

Build a canvas app for the film room: play timeline, position tabs, quick‑grade buttons, one‑phrase notes, and the player dashboard view. Point it directly at the same Dataverse tables—no duplicate storage. Canvas apps are made for fast, tailored UIs your staff can run in a browser or on tablets.

  • Share it with coaches and players via your school’s Entra ID groups (and keep permissions scoped by roles).

4) Automations that save time (optional)

When the last snap is graded, a Power Automate flow (triggered “when a row is added/modified” in Dataverse) can post each position room’s top positives/fixes to staff chat or build a rep‑ticket list for Monday.

Suggested starter schema (light but effective)

  • Player (Name, Jersey, PositionGroup, ClassYear, Login/UPN)
  • Game (Opponent, Date, Home/Away)
  • Play (Game, Quarter, Down/Distance, Field zone, Result yards)
  • On‑Field (Play ↔ Player, Unit)
  • Grade (Play ↔ Player, GradeChoice + / 0 / – / ME, ShortNote, IsME formula)
  • Player‑Game (Player ↔ Game; rollups: ME count, graded snaps; formula: ME rate)

This structure keeps the Saturday app snappy and the Monday reports automatic—without turning your staff into data entry clerks. (Dataverse is built for exactly this: tables, relationships, and simple logic that multiple apps can share.)

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Author: Jason Miles

A solution-focused developer, engineer, and data specialist focusing on diverse industries. He has led data products and citizen data initiatives for almost twenty years and is an expert in enabling organizations to turn data into insight, and then into action. He holds MS in Analytics from Texas A&M, DAMA CDMP Master, and INFORMS CAP-Expert credentials.