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Spurs dominate Lakers from start to finish

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The Spurs took the lead early and never relinquished it, controlling every aspect of the game in the process.

Soobum Im-USA TODAY Sports

Spurs 99, Lakers 85 - Jan 23, '15

There was a time when every Spurs-Lakers game was an event. Now even though the Lakers had stolen the last one, everyone knew how this one was going to end. Kobe is out for the season so the tank doesn't have to be stealth anymore. Byron Scott started Ryan Kelly at small forward against Kawhi Leonard. What can be taken away from a game like Friday's? Not much, really. Hopefully next season the Lakers will have Kobe back along with a lottery pick and a free agent and will make these games as interesting as they once were.

Four Factors (def.)

Spurs Lakers
Shooting (eFG%) 49% 43%
Ball Handling (TO%) 12% 10%
Off Rebounding (OR%) 27% 17%
Shooting FTs (FT Rate) 32% 24%

Team Stats (Definitions at bottom of post)

Spurs Lakers
Pace (No. of Possessions) 93.8
Points Per Possession (PPP) 1.05 0.91
Points Per Shot (PPS) 1.18 1.02
2-PT FG% 48.3% 40.0%
3-PT FG% 29.2% 38.5%
FT% 74.1% 70.0%
True Shooting % 51.6% 46.3%
Spurs
Lakers
Offensive Rating 104.3 91.6
Defensive Rating 91.6 104.3
Net Rating 12.7 -12.7
Spurs Lakers
Passes / poss. 3.1 2.5
% of FGA uncontested 48.8% 44.6%
Points in the paint 44 30
Second chance points 15 9
Fast break points 10 15
Spurs Lakers
Assists 19 18
Steals 5 4
Turnovers 10 8
Ball Control Index (BCI)
(Assists + Steals) / TO
2.40 2.75
Spurs Lakers
Expected Offensive Rebounds 11.0 12.0
Offensive Rebounds 12 8
Difference 1.0 -4.0

Pure domination. The Spurs had the edge in everything but three-point field goal percentage and fastbreak points. The Lakers clearly were outmatched in all facets of the game. Even when they cut the deficit to 10 to start the fourth quarter, it was impossible to fathom a scenario in which they would get the win.

Spurs Shot Chart

Lakers Shot Chart

The Spurs could not buy a bucket from outside. Danny Green hit a triple on the first offensive possession of the game and then went 0-for-4 the rest of the way. Boris Diaw went 0-for-4. Fortunately, the one three-pointer the Spurs (sort of) needed to close the game for good went in.

pattty

Players (Definitions at bottom of post, columns sortable)

Spurs

Player
Min
AdjGS
GS/Min
Line
Usage%
Floor%
OffRtg
DefRtg
NetRtg
Kawhi Leonard 33 21.0 0.63 15 Pts (6-12 FG, 1-3 3PT, 2-3 FT) 14 Reb (2 Off), 3 Ast, 2 Stl, 1 TO, 1 PF 20% 55% 110.7 81.6 29.1
Tim Duncan 20 19.2 0.94 14 Pts (5-9 FG, 4-5 FT) 7 Reb (1 Off), 3 Ast, 2 Blk, 1 PF 26% 71% 102.0 73.2 28.9
Manu Ginobili 23 15.3 0.66 15 Pts (6-9 FG, 1-3 3PT, 2-2 FT) 3 Reb (1 Off), 1 Ast, 2 Stl, 2 TO, 3 PF 22% 61% 109.6 96.2 13.3
Tony Parker 23 14.5 0.64 17 Pts (7-14 FG, 1-1 3PT, 2-4 FT) 1 Reb (0 Off), 4 Ast, 1 TO 35% 55% 104.1 74.2 29.9
Cory Joseph 18 11.1 0.61 9 Pts (2-4 FG, 1-1 3PT, 4-5 FT) 1 Reb (1 Off), 3 Ast, 2 PF 16% 76% 111.2 113.4 -2.1
Aron Baynes 19 6.1 0.33 6 Pts (3-7 FG, 0-1 3PT ) 3 Reb (2 Off), 1 Ast, 17% 48% 119.2 107.2 12.0
Patty Mills 12 5.0 0.41 6 Pts (2-6 FG, 2-4 3PT ) 1 Reb (0 Off), 1 Stl, 19% 35% 85.2 85.3 -0.1
Danny Green 28 3.2 0.11 7 Pts (2-6 FG, 1-5 3PT, 2-2 FT) 2 Reb (0 Off), 2 Ast, 1 Blk, 3 TO, 2 PF 16% 37% 101.4 85.2 16.2
Matt Bonner 19 3.1 0.17 4 Pts (2-5 FG, 0-2 3PT ) 5 Reb (1 Off), 2 PF 13% 42% 98.3 96.2 2.1
Tiago Splitter 19 1.5 0.08 2 Pts (0-4 FG, 2-4 FT) 11 Reb (4 Off), 1 Blk, 2 TO, 2 PF 17% 15% 96.4 79.4 16.9
Jeff Ayres 4 0.4 0.11 0 Pts , 1 Ast, 1 PF 0% 100% 94.1 180.7 -86.6
Boris Diaw 20 0.0 0.00 4 Pts (1-8 FG, 0-4 3PT, 2-2 FT) 3 Reb (0 Off), 1 Ast, 1 PF 21% 30% 107.4 106.3 1.2
JaMychal Green 3 -1.4 -0.48 0 Pts 1 Reb (0 Off), 1 TO, 1 PF 16% 0% 77.6 168.1 -90.4

Show Lakers Players

So many good performances. Kawhi had the highest Adjusted Game Score and Duncan the highest game score per minute but the nights Ginobili and Parker had are worth mentioning. Those guys combined to go 13-for-24 from the field. At least for one night Manu's scoring struggles were in the past as he drove to the basket and Parker was hitting mid-range jumpers like it was 2012. Can the Spurs play the tanking Lakers once a week?

Spurs Index: 96.5 (def.)

Factor Value Score
Passing (AST%) 52.8% 25.5
Shooting (eFG%) 48.8% 18.2
Defensive Rebounding (DReb%) 83.3% 21.8
Defense (DefRtg) 91.6 21.9
Opponent % of FGA Uncontested 44.6% 9.2
Total 96.5

Lakers Spurs Index: 88.4 Show Breakdown

Fortunately the Spurs don't need to play their game to beat this version of the Lakers because they had a below-average performance in the Spurs Index. Had some of those threes fallen the assist percentage would have been higher and the score Spursier. But I'm not complaining. The Spurs need every win they can get, even if sometimes they aren't pretty.

Let's hope everyone has his shot back on Monday because the Milwaukee Bucks are in town and they are playing amazing defense.

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Definitions

eFG%: Effective Field Goal percentage. (via) Effective Field Goal Percentage; the formula is (FG + 0.5 * 3P) / FGA. This statistic adjusts for the fact that a 3-point field goal is worth one more point than a 2-point field goal. For example, suppose Player A goes 4 for 10 with 2 threes, while Player B goes 5 for 10 with 0 threes. Each player would have 10 points from field goals, and thus would have the same effective field goal percentage (50%).

AdjGS: a take-off of the Game Score metric (definition here) accepted by a lot of basketball stat nerds. It takes points, assists, rebounds (offensive & defensive), steals, blocks, turnovers and fouls into account to determine an individual's "score" for a given game. The "adjustment" in Adjusted Game Score is simply matching the total game scores to the total points scored in the game, thereby redistributing the game's points scored to those who had the biggest impact on the game itself, instead of just how many balls a player put through a basket.

Usage%: This "estimates the % of team possessions a player consumes while on the floor" (via). The usage of those possessions is determined via a formula using field goal and free throw attempts, offensive rebounds, assists and turnovers. The higher the number, the more prevalent a player is (good or bad) in a team's offensive outcome.

Floor%: Via Basketball-Reference.com: Floor % answers the question, "when Player X uses a possession, what is the probability that his team scores at least 1 point?". The higher the Floor%, the more frequently the team probably scores when the given player is involved.

Offensive Rating (offRtg): Points per 100 possessions.

Defensive Rating (defRtg): Points allowed per 100 possessions.

Spurs Index: The Spurs Index © is a just-for-fun formula that attempts to quantify just how "Spursy" a particular game is, based off averages for the 2013-2014 regular season. A perfectly average game would have a Spurs Index of 100. The formula consists of four factors which the Spurs are known for and lead or nearly lead the league in: Shooting (effective Field Goal %), Passing (Assist percentage), Defensive Rebounding Rate, and Defensive Rating. These metrics are weighted as follows:

Factor Weight Average
Passing (AST%) 30% 62.1%
Shooting (eFG%) 20% 53.7%
Defensive Rebounding (DReb%) 20% 76.4%
Defense (DefRtg) 20% 100.1
Opponent % of FGA Uncontested 10% 40.8%
The values for each metric are determined based on how a particular game's performance compares to the Spurs 2013-2014 regular season average for that metric. For instance, the average effective Field Goal percentage for 2013-2014 was 53.7%. So if the Spurs shot 60% in a given game, the score for eFG% would be calculated by: (0.6 / 0.537) * 20, which would yield a "score" for that factor of 22.3.

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