Scoring & Ice Time

By Bob Trask – The Montreal Canadiens offense was rather anemic in the 2023-24 season and it made me wonder what the average performance looked like across the league.

For the purposes of this article, I considered players who participated in at least 50 games during the season and I broke the ice time down in the following manner. The median number of games played for forwards was 75 games while the median number of games played among defensemen was 72 games. On average, the 7th defenseman played in about 36 games. I did not include shorthanded time on ice because scoring is relatively insignificant in this situation.

Forwards

GamesEven StrengthPower PlayTotal
Top Three7515:163:2418:40
Second Line7513:402:1115:51
Third Line7512:140:5213:06
Bottom Three7510:030:0410:07

Defensemen

GamesEven StrengthPower PlayTotal
Top Pair7219:062:3621:42
Second Pair7217:210:2517:49
Third Pair7214:460:0314:49
7th Defenseman3611:300:0111:32

Statistically Inaccurate

These numbers are generalizations only so take them with a huge grain of salt. For example, power play time for defenseman may not always go to the top pair, it might go to the best offensive d-man on the first pair and the best offensive d-man on the second pair. The same logic applies to forwards.

The number of games played is also an average and in real life the games won’t be divided up that equally. Last season, for example, Montreal’s top scoring winger only played in 46 games and only Nick Suzuki played more than the league average 75 games. On the other hand, the defenseman with the 7th highest number of games played participated in 49 games. Both cases indicate a revolving door of players at forward and on defense.

But just for fun, we will go with league averages.

Projecting Performance

There are a multitude of factors that will influence the team’s overall offensive production.

  • A major consideration is how ice time will be allocated and to determine that, a guess at line combinations would have to be made.
  • It is also assumed that each first line player will have equal ice time at 5v5, each second line player will have equal ice time and so on. That’s not what happens in real life but it serves our purposes here.
  • Another consideration is how players will perform with the ice time allocated to them. With veterans some reasonable projections can be made but with rookies the sample size is so small that extrapolating performance will likely be highly inaccurate. Because Montreal had so many rookies last year the problem is exacerbated. But it’s all we have.

Methodology

The projection for each veteran player will be based on a combination of his historical performance and his performance last season For rookies, last season’s totals will be considered but adjusted to compensate for added experience and for outliers like unrealistic shooting percentages The scoring totals will be for even strength only with an adjustment at the end for team totals on the power play and in short handed situations. And adjustment will also be made for production from the bench – those extra forwards and defensemen who are not regularly in the lineup.

One big assumption is that the veteran Mike Hoffman will not be with the team next season. And the rest of the roster is not finalized, so players that do appear on the list may find themselves elsewhere and there could also be unexpected additions to the roster. As I mentioned, there are so many assumptions and variables involved that it makes anything close to an accurate projection futile – but let’s have some fun anyway.

The Blender

There are an almost infinite number of line combinations and defensive pairings. For the purposed of this exercise, here are my combos:

Forwards

  • Caufield – Suzuki – Slafkovsky
  • Monahan – Dach – Anderson
  • Newhook – Dvorak – Gallagher
  • Harvey-Pinard – Evans – Ylonen

Defense

  • Matheson – Savard
  • Guhle – Barron
  • Xhekaj – Kovacevic
  • Harris

Scoring

As mentioned earlier, this will be 5v5 scoring only and playing on the first line or first defense pairing does not mean top PP minutes. Because the Canadiens are in a unique position defensively, the third pairing minutes are divided equally among Kovacevic, Harris and Xhekaj.

PlayerGoalsAssistsPoints
1Cole Caufield321547
2Kirby Dach133144
3Nick Suzuki142741
4Sean Monahan142238
5Juraj Slafkovsky122235
6Mike Matheson102434
7Alex Newhook141933
8Kaiden Guhle82331
9Brendan Gallagher171330
10Justin Barron62329
11Josh Anderson171128
12Christian Dvorak101828
13Jesse Ylonen91625
14Jake Evans51621
15David Savard41620
16Rafael Harvey-Pinard8917
17Arber Xhekaj5914
18Michael Pezzetta6612
19Jordan Harris3912
20Joel Armia5611
21Jonathan Kovacevic2911
Bench4615
Power Play45
Penalty Kill 8
Total271

Analysis

It remains to be seen whether or not these projections are realistic but I don’t believe that they are overly optimistic. The 271 goals would have put the Canadiens 15th in the league, between the Vegas Golden Knights and the Carolina Hurricanes – not bad company to be in. It is also a healthy 39 more goals than they scored last year and only 8 goals shy of what the Toronto Maple Leafs put up on the scoreboard.

Some jaws will undoubtedly drop when they see Nick Suzuki’s totals but it needs to be kept in mind that one-third of Suzuki’s points have come on the power play over his career. He has also racked up short handed points which are not accounted for in this table. Only 5v5 scoring is displayed in the tables. And finally, these totals are based on Suzuki playing 75 games rather than 82. Factor that into the equation and his numbers change dramatically.

The same applies to a few other players.

The reverse applies to Rafael Harvey-Pinard whose numbers were inflated by a a 24% shooting percentage. A figure of 12% is far more reasonable and the projections in the table reflect that.

With respect to the power play, I pegged the number at 45 which is halfway between the median production of 52 goals and the Canadiens’ 38 goals on the PP last season. It doesn’t seem to be an unreasonable assumption is still only about one-half the 89 PP goals scored by Edmonton last year.

Conclusion

What we do see is a roster that is relatively balanced from top to bottom when it comes to scoring that still features a less than average power play.

It is well within the ability of the current roster to produce significantly higher scoring numbers than last year. Some of it could be the result of avoiding major injuries, some could be the modest improvement of the younger players on the team and some of the improvement could come from slightly better results on the power play. Any additional tweaks to the roster that might occur are not considered.

It will be interesting to see what Kent Hughes and Marty St. Louis have in store for us!

Projection Based On Startling Statistics

By Bob Trask – As fans await the start of a new NHL season and glance at the lineups of our favourite teams with all the additions to and subtractions from the roster over the course of the year, we often like to project the players on our team will do. But there is only so much ice time to go around and how much will be available to each player will impact their offensive performance.

Ice time and games played

A look at the statistics on NHL.com provides some insight on how on many games played and how much ice time the average positional player received during the year. These won’t be 100% accurate but it serves to illustrate how the ice-time pie was divided up – on average.

The reason for listing 14 forwards and 7 defensemen is because that is how a typical NHL roster is constructed.

POSITIONGAMES
PLAYED
TOTAL
MINUTES
MINUTES
PER GAME
1F82155320:30
2F81144319:10
3F79136018:20
4F78129017:50
5F76122817:00
6F74114316:20
7F71108215:40
8F69100515:00
9F6692014:20
10F6283113:50
11F5773513:20
12F5065912:50
13F4150512:20
14F3236811:50
1D81188524:40
2D78169022:15
3D75150421:00
4D70131719:35
5D63117318:20
6D5286517:10
7D3856416:10
O

Canadiens Projections

When we look at the Canadiens roster as it stands today it remains very unclear how the ice time will be divided. For the sake of this article the following ice times are assumed and points are projected from that.

PLAYERTOTAL
MINUTES
MINUTES
PER GAME
GOALSASSISTSPOINTS
FORWARDS
Nick Suzuki155020:30203858
Cole Caufield144019:00312455
Christian Dvorak136018:30182341
Evegeni Dadonov129018:00252954
Jonathan Drouin123017:00133144
Kirby Dach114016:3091827
Josh Anderson108016:00181230
Juraj Slafkovsky100015:00n/an/an/a
Jake Evans92014:3091423
Brendan Gallagher83014:00161531
Rem Pitlick74013:30101626
Joel Armia66013:006612
Michael Pezzetta50012:306814
Jesse Ylonen37012:00400
DEFENSE
Joel Edmundson189024:3061622
Mike Matheson169022:30101828
David Savard150021:0051520
Chris Wideman133019:3082028
Jordan Harris117018:30707
Justin Barron87017:007714
Otto Leskinen57016:00000
TOTALS*191310501

*Any production from Slafkovsky is not included in the totals

These projections are based on career scoring totals per minutes played. The number of minutes played will likely be radically different from the assumptions made here so keep in mind these are only the very broadest of guidelines.

Take these numbers with a huge grain of salt!! And here’s why.

Players like Caufield, Dach, Pitlick, Harris, Barron and others have limited NHL experience and projecting from such a small base of games will be wildly inaccurate. Slafkovsky hasn’t played at all. The younger players from Suzuki on down all have the potential to improve.

As players accumulate more minutes the projections on scoring per minute of play should be more accurate. Gallagher would be a good example. Older players are more likely to regress or hold their own. The factor that might lead to the biggest discrepancy from these projections for this group is that amount of ice time they could receive in the year.

Improve, Decline and Unknown

Players who might be expected to improve from their lifetime averages include Suzuki, Caufield and Dach. Jonathan Drouin is also a special case who I believe has a chance to improve on his career numbers.

Brendan Gallagher

Dvorak, Dadonov, Anderson, Matheson, Edmundson, Savard and Wideman have all played enough games that we know more or less what to expect.

The bulk of this roster is filled with unknowns. It starts with Slafkovsky and includes Evans, Pitlick, Pezzetta and Ylönen at the forward position. On defense the unknowns among this group are Barron, Harris and Leskinen. Estimating their production is a shot in the dark and will probably no where close to hitting the mark.

The big potential for decline is Brendan Gallagher. It remains to be seen how he will be utilized and how he will adapt to a system that doesn’t play to his strengths. Armia also falls into the potential for decline category and if I had included Mike Hoffman on this hypothetical roster he would be in that group as well.

Looking Forward

Another factor that could impact the offensive output of the Canadiens is the style of game the team adopts under Martin St. Louis. For years the Canadiens have focused on shutdown defense and played with little imagination. Dominique Ducharme, Claude Julien, Michel Therrien, Jacques Martin, Bob Gainey and Guy Carbonneau brought 20 years of the dead puck era to Montreal.

Compared to that group, St-Louis is a breath of fresh air and could unlock the talent and creativity of the team. Based on that and the fact that a large number of players should be approaching their prime, the Canadiens could have a highly more productive offense than last year.

A question that always arises is whether young players like Harris and Barron are best served playing limited minutes in the NHL or substantial minutes in the AHL. In both their cases it could be a combination of both if they are shuttled back and forth between Montreal and Laval.

Of course additional player changes are expected before the season begins and that will change a lot of these projections. Mike Hoffman, as mentioned many times, seems to be a prime candidate to be moved while Joel Armia’s projected ice time and production doesn’t merit his contract.

On a positive note, virtually every player on this list has the potential to exceed the totals posted here – some by a wide margin.

Stay tuned.

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