Where you are on the field when you're not actively scoring determines how fast you can score next. Dead space costs points. This guide maps optimal positions for Push Back across the full match timeline.
Season-specific guide: This guide covers Push Back field layout specifically — 4 goals, distributed blocks, center goals shared. The principles (minimize dead space, hold high-value position, pre-stage for endgame) are permanent. The specific positions described here apply to 2025–26. A new version is built each August after game reveal.
🗺 Push Back Field Map — Clickable Zones
Click each zone to see positioning strategy for that area.
📍 Push Back — Top View (your alliance on bottom)Click a zone
⏱ Position Timeline — Where to Be When
T−1:45 Start
Auton handoff position
Driver control starts immediately after auton. Your robot should be near your side's highest-value goal — ready to score the first cycle within 3 seconds. Don't waste the auton end position.
T−1:00 Mid
Your side established
You should own your two home goals. Majority of cycles through your nearest goal. Consider contesting one center goal if your cycle rate allows — center goals are the leverage point in Push Back.
T−0:30 Late
Pre-stage for endgame
This is the decision window. Complete one more cycle only if you can get to endgame position by T−15. Otherwise move to endgame staging area now. Your endgame position for Push Back is touching the center barrier on your side.
T−0:10 Final
Execute endgame
You're in position. Execute. Don't second-guess. Don't try to score one more. The endgame points are guaranteed if you're in position — that additional cycle is not.
The home base principle: Your default resting position between cycles should maximize options, not optimize for current position. If you're between your nearest goal and the center goal, you're one turn from either. That's better than being perfectly positioned for one goal but requiring a full-field transit for the other.
⚙ STEM HighlightPhysics: Spatial Reasoning & Zone Control Geometry
Field positioning strategy applies spatial geometry and game theory. Controlling a zone requires occupying a specific geometric region at match end. The optimal position is the one that maximizes your own scoring potential while minimizing the opponent’s options — what game theorists call a dominant strategy. Understanding field dimensions, goal geometry, and robot footprints as geometric constraints lets teams calculate which positions are defensible and which are not.
🎤 Interview line: “We map field positions geometrically before every match. We calculate which zones our robot can access from our starting position in time, and which opponent positions we can contest. This spatial pre-planning means our driver is executing a calculated plan during the match — not improvising. Our zone control rate improved from 54% to 78% after introducing structured positioning.”
Which field position gives your robot the most strategic value at the start of driver control?
⬛ The center of the field — it gives maximum range of motion
⬛ The position closest to your highest-value scoring goal, with your back to the perimeter to prevent being pushed off
⬛ The same starting position as autonomous — consistency reduces driver adjustment time
📝
Notebook entry tip:Select Best Solution — Purple slide — Draw your planned field position diagram in a pre-match strategy entry before each competition. Label your starting position, primary scoring zone, and endgame position. After the event, write a reflection: which positions worked as planned, which were contested, and what positioning change you will make for the next event.