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#177 - College of Charleston (5-2)

Pat KelseyColonial Athletic Association (0-0)

Tourney ResultsTeamcastTeam History

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Team Stats

Vs: | Venue:
Category Offense Defense Barthag
Adj. Eff. 101.9 151 102.6 213 .4796 177
eFG% 46.7 249 52.3 255
TO% 19.1 179 21.4 84
OR% 34.8 45 21.7 25
FTR 31.0 159 39.8 318
Adjust? Split?
Shooting Stats
3P% 36.4 78 32.8 164
2P% 42.0 324 53.7 286
FT% 72.4 125 73.9 277
Block % 16.3 353 6.8 250
Stylistic Stats
3P Rate 37.5 187 32.3 53
Ast. Rate 52.0 153 48.7 143
Adj. Tempo 75.41

Fun Stuff

Category Offense Defense Barthag
Qual. Eff. 101.2 119 110 207 .2777 166
Last 10 Eff. 103.1 136 98.2 145 .6356 121
Close Games 2-0 (.999) 22
Qual. Games 0-1 (.000) 203
F.U.N. 0.1965 21
(Expected) Strength of Schedule
Non-con Overall
Elite L% 16 % 153 13 % 186
Basic 0.5008 92 0.4664 150
Current 0.4946 117 0.4946 120
Committee Resumé Metrics
Q1-A Q1 Q2 Q3 Q4
Projected 0-0 1-2 1-3 5-6 11-2
Current 0-1 0-1 1-1 0-0 4-0
Tourney Odds
Seed Auto Total
14.6 8.6% 8.6%

Schedule / Results

Offense Defense
Date Opponent Result/Line Record WAB AdjO AdjD PPP eFG% TO% OR% FTR 2P 3P PPP eFG% TO% OR% FTR 2P 3P G-Sc +/-
Thu 11-11 11-11 H 271 348 (Ⅳ) South Carolina St. SCSt. W, 106-74 91 1-0 0.0 107.5 89.3 116.6 53.8 17.6 40.4 36.3 28-52 10-28 81.4 38.5 23.1 20.8 65.6 19-46 3-15 89 23.6
Fri 11-12 11-12 H 248 197 (Ⅳ) Lipscomb Lips W, 86-77 83 2-0 0.1 97.2 92.1 104.1 43.0 12.1 34.0 30.4 19-47 10-32 93.2 53.6 23.0 11.4 44.6 15-32 10-24 65 4.6
Sat 11-13 11-13 H 233 302 (Ⅳ) Loyola MD LMD W, 79-72 76 3-0 0.2 104.2 102.3 104.1 46.8 22.4 42.9 46.0 16-35 9-28 94.9 43.1 13.2 20.0 29.2 25-42 2-23 55 8.6
Tue 11-16 11-16 H 217 40 (Ⅱ) North Carolina UNC L, 94-83 85 3-1 -0.4 103.8 98.0 98.2 43.5 10.6 22.2 29.9 17-47 11-30 111.2 60.2 20.1 22.6 54.2 25-39 7-20 66 0.9
Mon 11-22 11-22 A 204 38 (I) Oklahoma St. OkST L, 96-66 82 3-2 -0.7 101.2 110.0 81.0 36.9 34.3 41.9 37.7 9-39 9-22 117.8 63.4 22.1 34.4 22.4 29-49 9-18 28 -7.5
Sat 11-27 11-27 A 208 90 (I) Chattanooga Chat W, 68-66 68 4-2 -0.2 101.8 92.6 99.4 49.2 16.1 28.6 12.3 23-46 6-19 96.4 50.0 23.4 33.3 32.1 16-33 7-20 75 -2.4
Tue 11-30 11-30 H 187 171 (Ⅳ) Tulane Tulane W, 81-77 77 5-2 -0.1 105.8 103.4 105.4 53.0 20.8 35.9 24.2 17-41 12-25 100.2 57.4 24.7 10.7 31.5 22-40 6-14 57 2.7
Fri 12-03 12-03 A 117 (Ⅱ) Furman Fur +8.2, 82-7423% .44
Tue 12-07 12-07 A 171 (Ⅲ) Tulane Tulane +4.2, 77-7335% .31
Sun 12-12 12-12 H 283 (Ⅳ) Presbyterian Presb -9, 75-6681% .05
Thu 12-16 12-16 A 277 (Ⅳ) Stetson Stet -1.7, 78-7656% .15
Sun 12-19 12-19 N 55 (I) Rhode Island RI +8.8, 79-7021% .48
Wed 12-22 12-22 A 227 (Ⅲ) Old Dominion ODU +0.9, 72-7146% .21
Wed 12-29 12-29 H 189 (Ⅳ) Drexel Drex -4.6, 79-7467% .10
Fri 12-31 12-31 H 150 (Ⅲ) Delaware Del -2.3, 80-7858% .14
Mon 1-03 1-03 A 116 (Ⅱ) Northeastern NE +7.4, 73-6623% .44
Wed 1-05 1-05 A 120 (Ⅱ) Hofstra Hofs +8.2, 86-7724% .43
Sun 1-09 1-09 H 261 (Ⅳ) Elon Elon -9.4, 85-7679% .06
Tue 1-11 1-11 H 344 (Ⅳ) William & Mary WM -16.6, 85-6892% .02
Mon 1-17 1-17 H 311 (Ⅳ) UNC Wilmington UNCW -11.5, 82-7085% .04
Thu 1-20 1-20 A 158 (Ⅲ) Towson Tow +5.2, 77-7231% .34
Sat 1-22 1-22 A 154 (Ⅲ) James Madison JMU +5.6, 81-7631% .35
Thu 1-27 1-27 H 120 (Ⅲ) Hofstra Hofs -0.3, 82-8151% .18
Sat 1-29 1-29 H 116 (Ⅲ) Northeastern NE +0.2, 70-6949% .19
Thu 2-03 2-03 A 344 (Ⅳ) William & Mary WM -8.6, 81-7279% .06
Sat 2-05 2-05 A 261 (Ⅳ) Elon Elon -1, 81-8054% .17
Sat 2-12 2-12 A 311 (Ⅳ) UNC Wilmington UNCW -3.6, 78-7463% .12
Thu 2-17 2-17 H 154 (Ⅲ) James Madison JMU -2.6, 80-7759% .14
Sat 2-19 2-19 H 158 (Ⅲ) Towson Tow -2.6, 76-7360% .14
Thu 2-24 2-24 A 150 (Ⅲ) Delaware Del +5.9, 82-7630% .36
Sat 2-26 2-26 A 189 (Ⅲ) Drexel Drex +3.3, 78-7538% .28
Projected Record: 17-14 (10-8) Record WAB Adj. O Adj. D PPP eFG% TO% OR% FTR 2P 3P PPP eFG% TO% OR% FTR 2P 3P G-Sc +/-

College of Charleston Player Stats

Show:
Role • Games • Min% • O-Rating • Usage • PRPG! • D-PRPG • BPM • OBPM • DBPM • eFG% • TS% • O Reb% • D Reb% • Ast% • TOV % • A/TO • Blk% • Stl% • FTR • FC/40 • Dunks • Rim • Mid • FTs • Twos • 3P-Rate • 3P/100 • Threes
All • None • Core • Shooting • Basic

Compiled by Bart Torvik from sacred data and secret formulas.