MT241 Unit 1 Discussion Board Post Example

Course	MT241 Sport Analytics
Unit	Unit 1
Paper type	Discussion board post
Length	About 450 words, 2 pages double-spaced
Format	APA 7 discussion post
School	Purdue University Global
Program	BS in Business Administration
Updated	October 2026

Free sample paper for MT241 Unit 1

Plus Nineteen and Still Outshot: Unit 1 Discussion, the Statistic That Hid the Goaltending

MT241 · Unit 1 Discussion Board Post

Posted by [Student Name]

The club, the defenseman, every figure and the classmate are composite and illustrative; the sources cited are real.

What this part is doingSetting the broadcast claim against the shot data in the lead tells classmates the post is about what a number measures, not about the player.

Initial Post

During a broadcast last month, an analyst called our composite club's top-pair defenseman the best on the roster and gave one reason: he was plus nineteen for the season. Plus-minus is easy to quote, so it gets quoted. But it measures something narrower than it sounds.

The league awards a player plus one for every even-strength or shorthanded goal his team scores while he is on the ice and minus one for every such goal the opponent scores. Power-play goals for his team do not count. So the number is a goal differential during his shifts, and goals are rare, noisy events that depend on everyone on the ice, including both goaltenders.

Here is the same player through three measures:

Plus-minus, full season: +19

Shot-attempt share at 5-on-5: 46.8 percent

Expected-goals share at 5-on-5: 47.5 percent

The last two count far more events. A shot-attempt share below 50 percent means the opponent attempted more shots than our club did during his shifts, and the expected-goals share, which weights each attempt by its chance of scoring, says the same thing about quality. The public glossary on Natural Stat Trick (n.d.) explains both measures and why analysts prefer them for judging play at even strength.

So where did plus nineteen come from? With this defenseman on the ice, our goaltenders stopped 94.4 percent of shots, against 91.9 percent for the team overall. That gap alone is worth roughly a dozen goals over a season. The course text makes the point that a statistic is only useful when we know what it actually captures (Alamar, 2013), and here the number mostly captures the goaltending behind him.

Plus nineteen tells us the puck stayed out of our net while he played; it does not tell us he kept it out.

He may still be a good defenseman. But if the club pays him on plus-minus, it is paying for saves. Which statistic have you heard used to settle an argument it could not really settle?

Reply to Marcus

Marcus, you defended quarterback wins as the statistic that matters most in football, since winning is the point. I agree winning is the point, but a quarterback's win total also includes his defense, his kicker and his schedule, much like plus-minus includes the goaltender. Would you accept a measure like expected points added per dropback as a fairer test, or does it lose something you value about wins?

References

Alamar, B. C. (2013). Sports analytics: A guide for coaches, managers, and other decision makers. Columbia University Press.

Natural Stat Trick. (n.d.). Glossary. https://www.naturalstattrick.com/glossary.php

Reading the MT 241 Unit 1 instructions

The opening MT 241 discussion asks for one statistic you have seen or heard used to settle an argument, and an explanation of why it cannot carry that weight. Pick a number with a clear public use, a broadcast claim, a contract argument or a fantasy ranking, and say exactly how it is calculated before you criticize it. Then bring in at least one better measure and show, with figures, where the two disagree. The prompt usually wants the course text cited plus one outside source in APA 7. The first post typically runs 300 to 400 words and is due midweek, and a reply to a classmate that tests their statistic the same way follows later in the week. End the post with a question so classmates have something concrete to answer.

How this MT241 Unit 1 example is built

The post starts with the broadcast claim and states the league's plus-minus rule, including the power-play goals it ignores. A short three-line comparison sets plus nineteen beside the defenseman's shot-attempt and expected-goals shares, and the glossary citation explains why analysts trust measures built on many events. The key paragraph then finds the gap in on-ice save percentage, 94.4 against 91.9, and turns it into roughly a dozen goals over a season. Alamar's point about knowing what a statistic captures is applied to that gap, and the highlighted line separates the puck staying out of the net from the player keeping it out. A closing question invites classmates to name their own example. The reply to Marcus agrees that winning matters and asks whether a per-play quarterback measure would satisfy him.

MT241 Unit 1 rubric: what earns full points

Discussion credit in MT 241 generally rewards three things in the first post: an accurate definition of the statistic, evidence that it misleads in a real or composite case, and a better measure set beside it. A post that only says a number is flawed earns less than one that shows the flaw with figures. Using share, rate and sample in their exact senses matters to the instructor, and so do sources cited in APA 7. The reply is marked on whether it engages the classmate's statistic on its own terms and offers an alternative or a test. Posting early enough for others to answer, and responding to a question asked of you, usually counts toward participation as well.

MT241 Unit 1 help: mistakes that cost points

A frequent slip in a first analytics post is attacking a statistic without first explaining how it is calculated, which leaves the criticism vague. Another is replacing one number with another and treating the new one as perfect; expected goals has limits too. Some students choose an example so famous that the post repeats what every broadcast already says. Others give figures without saying whether they cover all situations or 5-on-5 only. In the reply, avoid simply agreeing with the classmate. If you have a statistic in mind but no data, send it to us with your section's word limit and a writer will gather the public figures that put it to the test.

Get an MT241 Unit 1 example written to your instructions

Which statistic have you heard misused: a plus-minus, a win-loss record credited to one player, a batting average over three weeks? Point to it, then forward how your section words the opening board and grades participation. Your first custom post, reply included, is free and comes back within 24-48h, the counting rule of the statistic stated exactly. The paper above is an original model document written by our desk, not a submitted student paper and not an official Purdue University Global document.

More MT241 papers and BS in Business Administration samples

MT241 Unit 1 questions, answered

What is wrong with plus-minus as a hockey statistic?

It counts goals, which are rare, and credits every skater on the ice equally for each one. A player's mark therefore depends heavily on his linemates, his goaltender and short-run luck in shooting and saving. It is not meaningless, but over one season it ranks players poorly, which is why analysts prefer measures built on shot attempts or expected goals.

What is an on-ice save percentage?

The share of opponents' shots on goal stopped while a given skater was on the ice. Skaters have limited influence over it, so an unusually high figure mostly reflects the goaltender or luck rather than the skater's own defending. The example uses it to show how much of a +19 came from saves the defenseman did not make himself.

Does the Unit 1 post need data, or is an opinion enough?

Early MT241 prompts generally want a figure or two that put the statistic to a test, since the course is about what numbers can support. Public hockey analytics sites publish shot attempts, expected goals and on-ice percentages for every player, so the evidence is usually a few clicks away. An opinion about a statistic, with no count behind it, answers a different question.

Where can I find a free MT241 Unit 1 sample paper?

Read the full MT241 Unit 1 discussion board post here. It sets a defenseman's plus nineteen beside his shot and expected-goals shares, traces the gap to on-ice save percentage and adds a reply on quarterback wins.

How long is the MT241 Unit 1 initial post?

The sample's initial post runs about 330 words, inside the 300 to 400 most sections ask for, with a short three-line comparison and a closing question. The reply to Marcus adds about 70 more.