Archive for the 'Niagara' Category

When I fill out a bracket for an NCAA tournament pool (entered for pride only, no $$ exchanged of course), I’m obviously hoping in vain to get every game right. Not gonna happen. I have two other main goals (besides winning the pool): picking the Final Four correctly, and calling the first round […]

EFFICIENCY PREDICTIONS

  • Full Season Prediction … Kansas 88, Niagara 60
  • Last 10 Prediction … Kansas 90, Niagara 59
  • Vs. Good Prediction … Kansas 90, Niagara 60
  • Trendline Prediction … Kansas 89, Niagara 60
  • Best 6 Prediction … Kansas 104, Niagara 63

explanation

ADJUSTED GAME EFFICIENCY DATA

  Tempo Rnk Offense Rnk Defense Rnk Overall Rnk
Overall 69.6 10 118.0 14 81.1 1 .9870 2
Vs. Good 69.4 12 118.4 17 84.2 1 .9806 2
Trendline 68.8 14 125.9 7 83.0 6 .9918 1
Last 10 68.5 13 124.1 4 79.4 1 .9941 1
Best 6 69.1 15 131.4 3 76.3 3 .9981 1

[FULL DISCLOSURE: I’m a Kansas fan.] Kansas is one of the hottest teams in country headed into the NCAA tournament. They’ve won 11 straight, and 14 of 15 (with the only loss against Texas A&M in a game they led late). They’ve had 15 straight games with an adjusted offense over 110, and 5 of 6 over 120. They’ve had an adjusted defense below 90 in 10 of 11 games, with the only blip being against Kevin Durant (i.e. forgivable). They’ve had 10 games in a row with an overall rating over .95 (NCAA quality). The biggest concern heading into the tournament is probably experience. Nobody on the roster has won an NCAA tournament game before. I’m not sure if a team with so little tourney experience has ever won the title before, but I’d put my money on NO.

KANSAS PLAYER STATS

Name %Min eFG% FT% PPWS Pts A TO BS S OR% DR%
Rush 80.3 51.2 68.5 1.08 24.6 3.3 3.6 1.6 0.8 6.0 13.0
Chalmers 72.4 57.8 78.2 1.24 24.4 5.8 4.3 1.0 4.7 1.1 10.5
Robinson 67.9 48.4 65.0 1.08 13.9 9.1 3.8 1.0 3.7 4.3 8.1
Wright 67.8 55.8 62.5 1.16 25.5 4.6 5.2 3.1 2.9 11.0 20.5
Collins 55.6 58.6 77.2 1.23 24.9 7.7 4.2 0.0 1.7 1.9 9.3
Arthur 47.3 53.4 63.7 1.12 30.6 1.2 3.9 4.4 2.9 12.7 14.5
Kaun 39.9 53.9 51.8 1.09 20.4 1.4 3.1 4.6 1.3 11.4 13.6
Jackson 38.0 53.4 67.0 1.19 20.6 1.3 3.8 2.3 1.3 15.9 20.0

ADJUSTED GAME EFFICIENCY DATA

  Tempo Rnk Offense Rnk Defense Rnk Overall Rnk
Overall 69.3 12 105.2 53 107.6 63 .4350 59
Vs. Good 68.6 15 101.4 55 108.9 65 .3059 62
Trendline 69.1 12 103.7 56 101.3 51 .5671 59
Last 10 68.6 11 107.2 54 105.5 59 .5444 59
Best 6 69.1 16 117.3 34 112.7 65 .6136 62

Niagara’s poor offensive performance in their first 8 games can be explained away by the fact that their leading scorer (Charron Fisher) didn’t play. Unfortunately, even with Fisher their offense isn’t stellar, and their defense is below average. Their performance against good teams in the chart is skewed by the inclusion of some non-Fisher games, but even with those removed, their offensive and defensive numbers are only 106.5/103.8, above average but nothing special. Still, they deserve better than the play-in game.

NIAGARA PLAYER STATS

Name %Min eFG% FT% PPWS Pts A TO BS S OR% DR%
Miles 82.7 47.8 71.3 1.05 21.9 6.0 3.7 0.1 2.0 3.1 8.3
Duffey 80.0 51.4 70.2 1.09 18.8 2.4 2.5 0.2 1.4 7.5 11.8
Brown 78.6 46.4 75.8 1.01 28.4 1.5 4.0 0.5 1.2 11.4 21.3
Fisher 63.3 50.9 76.3 1.14 36.1 1.9 5.1 0.9 1.5 8.8 18.8
Hodge 60.0 53.0 85.2 1.32 11.2 9.3 4.3 <0.1/td> 2.0 4.4 13.7
Lewis 57.2 50.2 65.9 1.07 24.6 3.6 3.3 0.8 3.2 8.0 7.3
Brooks 45.2 41.0 76.1 0.99 15.4 4.1 3.7 0.1 1.5 3.9 4.3
Egemonye 12.1 60.9 35.7 1.13 11.6 1.4 4.6 3.1 2.8 11.6 12.7

Florida A&M’s offense relies on the efficiency of SR C Rome Sanders. JR G Leslie Robinson is the only other Rattler to combine above-average efficiency with scoring volume.

Turnovers (Florida A&M commits a ton and forces a lot, Niagara does neither) should be the X-factor in the play-in game. Either Niagara’s defense will get a boost from the uncharacteristically high number of opponent giveaways or Florida A&M will get a lot more shots up than normal.

Niagara should dominate the glass. Their rebounding rates (38.6 OR%, 68 DR%) in at-risk games are the (near-)equal of Florida A&M’s rates (39.5 OR%, 67.9 DR%) in MEAC play only.

Even if Florida A&M succeeds in slowing the pace of the game, their propensity to force opponents to shoot a lot of three-point shots plays into Niagara’s strengths. SR F JR Duffey, SR G Lorenzo Miles, and JR G Charron Fisher all shoot at least 36% from behind the three-point line. SR F Clif Brown and FR G Tyrone Lewis aren’t as consistent (~34 3PTFG% from both on the season) but both have multiple games wherein they’ve made three or three three-point shots (Brown moreso before Fisher joined the team).

Niagara didn’t play as difficult a non-conference schedule as did Florida A&M (Maryland, Pittsburgh, Florida, Illinois, Bradley) so their at-risk numbers look better to some degree because of that. However, Niagara, playing in the MAAC as opposed to the MEAC, was better in conference play (+8.6/100 possessions) than Florida A&M (+6.5/100 possessions).

Prediction: Niagara 79 Florida A&M 68

EFFICIENCY PREDICTIONS

  • Full Season Prediction … Niagara 79, Florida A&M 73
  • Last 10 Prediction … Niagara 81, Florida A&M 72
  • Vs. Good Prediction … Niagara 73, Florida A&M 70
  • Trendline Prediction … Niagara 75, Florida A&M 67
  • Best 6 Prediction … Niagara 85, Florida A&M 75

stats glossary

Points, assists, turnovers, blocks, and steals listed per 100 individual possessions

FLORIDA A&M PLAYER STATS

Name %Min eFG% FT% PPWS Pts A TO BS S OR% DR%
Sanders 80.0 63.9 75.6 1.40 28.2 1.8 4.4 0.5 0.4 10.2 11.9
Glover 68.1 44.4 61.2 0.97 24.1 3.7 6.4 0.7 1.4 11.2 14.2
Greene 66.3 47.2 53.9 1.00 22.7 4.7 5.2 1.0 3.3 9.5 18.8
Robinson 63.7 54.4 87.9 1.13 25.3 2.5 3.5 0.2 1.9 1.7 9.3
Ballard 57.6 41.9 50.0 0.90 9.6 7.4 6.5 0.0 3.6 4.2 11.1
Maul 53.5 50.5 82.1 1.19 13.1 6.1 5.9 0.1 2.2 2.2 8.4
Twitty 51.3 45.3 58.6 0.96 17.0 3.4 3.5 0.3 1.4 6.7 13.3
Robinson 40.1 43.2 60.5 0.93 14.5 2.5 5.1 2.0 1.5 10.0 12.6
Mason 31.2 54.2 70.0 1.14 23.5 4.3 4.4 0.0 2.5 1.0 6.3

NIAGARA PLAYER STATS

Name %Min eFG% FT% PPWS Pts A TO BS S OR% DR%
Miles 82.3 48.9 70.0 1.07 22.0 6.1 3.7 0.1 2.0 2.9 8.3
Duffey 80.1 52.0 71.3 1.10 19.0 2.4 2.6 0.2 1.4 7.4 11.8
Brown 78.2 45.4 75.9 0.99 27.7 1.5 4.1 0.6 1.3 11.6 21.7
Fisher 63.1 50.9 76.0 1.14 36.4 1.9 5.0 0.9 1.5 8.9 18.7
Hodge 59.7 53.6 84.8 1.32 11.4 9.4 4.2 0.1 2.0 4.4 13.8
Lewis 56.7 50.4 65.5 1.07 24.6 3.6 3.5 0.8 3.3 7.9 7.2
Brooks 46.1 41.4 78.3 1.00 15.5 4.2 3.7 0.1 1.5 4.0 4.2
Egemonye 12.2 60.9 35.7 1.13 11.8 1.4 4.3 2.8 2.5 11.8 12.3

NIAGARA ADJUSTED GAME EFFICIENCY DATA

  Tempo Rnk Offense Rnk Defense Rnk Overall Rnk
Overall 69.3 12 105.2 53 107.6 63 0.435 59
Vs. Good 68.6 15 101.4 55 108.9 65 0.3059 62
Trendline 69.1 12 103.7 56 101.3 51 0.5671 59
Last 10 68.6 11 107.2 54 105.5 59 0.5444 59
Best 6 69.1 16 117.3 34 112.7 65 0.6136 62

Niagara’s poor offensive performance in their first 8 games can be explained away by the fact that their leading scorer (Charron Fisher) didn’t play. Unfortunately, even with Fisher their offense isn’t stellar, and their defense is below average. Their performance against good teams in the chart is skewed by the inclusion of some non-Fisher games, but even with those removed, their offensive and defensive numbers are only 106.5/103.8, above average but nothing special. Still, they deserve better than the play-in game.

FLORIDA A&M ADJUSTED GAME EFFICIENCY DATA

  Tempo Rnk Offense Rnk Defense Rnk Overall Rnk
Overall 68.2 21 97.7 64 110.7 64 0.193 64
Vs. Good 67.9 19 94.3 62 104.7 63 0.2301 64
Trendline 63.4 47 102.8 59 111.6 63 0.2806 63
Last 10 65.4 33 103.8 59 114.2 64 0.2498 64
Best 6 65 41 100.8 62 110.3 64 0.261 65

If you’re not careful, you might look at Florida A&M’s graph and think they’re a decent team. But wait, that’s the defensive line above the offensive line. Never a good sign. Sorry, not much to add here, besides what you can see from the graph and numbers.




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