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Fantastic football performance occurs at the intersection of efficiency and expediency. We can better understand the role of a player by analyzing the factors behind the number of snaps based on different game situations and training trends. As a result, we may collect this information to obtain actionable information about waiver of wire mics, starting decisions and building the DFS list. For week 2, I broke down the use of each skill group for each team. Additionally, each team summary includes upgrades, demotions, low buy and high sell comments.
We specifically want to know if the running backs are on the pitch for the first downs, assists and shorts. Each of these opportunities offers different value.
We also want to know how many times the wide receivers and tight ends are in a road compared to the team’s assists. The clichés don’t matter as much; in fact, they can be deceiving for tight ends, which can block and have little opportunity to score fancy points.
It is essential to understand which players are leaving the field in the different staff groups. For example, a third wide receiver on a team that uses 11 people (three wide receivers) on only 50% of script neutral games (in all three points excluding games in the last two minutes of each half) will depend on the game script.
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Data Notes and Acronyms:
1st / 2nd = First and second down
LDD = long down and distance (third and fourth down with more than six meters to go)
SDD = short descent and distance (second, third and fourth descent with two meters or less to go)
i5 = inside the five-meter line
2MIN = two minute offense (hurry up offense)
Close = score in the three points
Lead = leading four or more points
Trail = late by four points or more
Play = penalties included for usage splits and tariffs
Passing game = all dropouts (i.e. attempts, sacks, and jams)
ADOT = average target depth
Aerial works = ADOT multiplied by targets
TT = average time to launch
PA = play action
AP Targets = percentage of player’s targets that came using play action
Fancy finishes = until the Sunday evening game
YPRR = yards per course
TPRR = targets per course
EZ = end zone
Week 0 = season data
ONE-TEAM JUMP:
ARZ | ATL | BLT | BUF | CAR | CIN | CHI | CLE | DEN | DAL | DET | FR | HOU | IND | JAX | KC | LVR | BAC | LAR | MIA | MIN | NE | NO | NYG | NYJ | PHI | PIT | SF | SEA | TB | TEN | WFT
CARDINALS OF ARIZONA
Overview
| The week | Rooms | Readings per minute | Past | To run | Treasure hunt | Trail pass | Close reading | Close the pass | Main game | Lead pass |
| 1 | 69 | 2.07 | 54% | 46% | 0% | 0% | 16% | 73% | 84% | 50% |
| 2 | 61 | 1.91 | 69% | 31% | 56% | 62% | 44% | 78% | 0% | 0% |
| 0 | 130 | 1.99 | 61% | 39% | 26% | 62% | 29% | 76% | 45% | 50% |
The Cardinals threw the ball 76 percent of the time in close quarters and are eighth in possession.
Quarterbacks
| The week | Player | A POINT | Adjusted compensation% | TT | YP | Play action | Designed Rush Att | scrambles | Bags | i5 Att | PPR Rank |
| 1 | Kyler murray | 9.1 | 72% | 2.91 | 9.0 | 25% | 13% | 3% | 6% | 100% | 1 |
| 2 | Kyler murray | 8.1 | 88% | 3.03 | 11.1 | 39% | 16% | 5% | 7% | 0% | 1 |
| 0 | Kyler murray | 8.6 | 81% | 2.97 | 10.2 | 32% | 14% | 4% | 6% | 100% | 1 |
I’ve been told I can’t rank Murray ahead of Josh Allen in fantasy this preseason. Too bad…
Ball carriers
| The week | Player | Snaps | Rush att | Journey | Targets | TPRR | SDD Snaps | i5 Att | LDD Snaps | 2 MIN Snaps | PPR Rank |
| 1 | Chase edmonds | 58% | 34% | 68% | 14% | 16% | 0% | 0% | 100% | 100% | 18 |
| 2 | Chase edmonds | 64% | 42% | 62% | 15% | 19% | 40% | 0% | 100% | 100% | 18 |
| 0 | Chase edmonds | 61% | 37% | 65% | 15% | 18% | 25% | 0% | 100% | 100% | 16 |
| 1 | James conner | 49% | 50% | 24% | 0% | 0% | 100% | 0% | 0% | 0% | 46 |
| 2 | James conner | 39% | 42% | 26% | 0% | 0% | 60% | 0% | 0% | 0% | 54 |
| 0 | James conner | 45% | 47% | 25% | 0% | 0% | 75% | 0% | 0% | 0% | 51 |
Edmonds continues to lead the backfield, and his two-game target of 15% is encouraging. It’s a low-end RB2 with good potential.
Receivers and Tight Ends
Kirk saw a 12% increase in routes despite dropping the top 50 in scores, but Moore also saw an increase in usage.
To improve: Moore increased his routes from 38% to 57% and again led the team in Goals by Route. It is expanding rapidly, but its role could continue to grow. The current rookie squad is under 70% in most home leagues. He’s a WR5 with potential and belongs to a list in all deeper formats.
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