Left wing · #19

Freddy Modin

Columbus Blue Jackets

Los Angeles Kings

Atlanta Thrashers

Calgary Flames(traded during the season)

Age: 52
Shoots: Left
Height: 193 cm
Weight: 100 kg
Born: Sundsvall, SWE
Draft: 1994, round 3, #64 (TOR)

Career · 2009–10 to 2010–11

Games: 84
Goals: 12
Points: 21
TOI per game: 13:16
xGF% (5v5): 38.9%
Goals above expected: −0.1

ShowAll teams Columbus Blue Jackets Los Angeles Kings Atlanta Thrashers Calgary Flames

Season by season

The regular-season line for each season, with the total, by team for traded players.


2009–10	CBJ	24	2	4	6	−6	14:41	35	5.7%	1	4.1	–
2009–10	LAK	20	3	2	5	−2	14:55	32	9.4%	2	3.6	–
2009–10	All teams	44	5	6	11	−8	14:47	67	7.5%	3	7.7	–
2010–11	ATL	36	7	3	10	−11	11:57	51	13.7%	0	4.2	38.9%
2010–11	CGY	4	0	0	0	−3	8:28	3	0.0%	0	0.1	38.8%
2010–11	All teams	40	7	3	10	−14	11:36	54	13.0%	0	4.4	38.9%
Total	4 teams	84	12	9	21	−22	13:16	121	9.9%	3	12.1	38.9%

Form

Rolling averages smooth out single games so the trend shows.

Form, ten-game rolling

Points and individual expected goals per game (left scale), averaged over the previous ten games. Ice time is on the second chart.

Points per gameixG per gameTOI per game (minutes)

Player card

Model-based

How 2009–10 to 2010–11 compares with everyone else at the position over the same seasons, and the players with the most similar profile.

Overall rating

Extra / AHL

12th percentile among qualified forwards, blending scoring 40%, play-driving 40%, usage 20%.

1st line
2nd line
3rd line
4th line
Extra / AHL

Scoring

4th line

Goals /600.6537th pct
Assists /600.489th pct
ixG /600.6533rd pct
Goals above expected−0.151st pct

Play-driving

Extra / AHL

xGF% (5v5)38.9%4th pct
CF% (5v5)46.1%16th pct
Relative xGF%−9.55th pct
Penalty diff /60-0.4310th pct

Usage

4th line

TOI per game13:1635th pct
PP time share8.0%31st pct
Offensive zone starts44.4%21st pct
Quality of competition24.2%41st pct

Percentiles among forwards with 200+ minutes at 5-on-5 and 20+ games. Ratings rank each column's average percentile among the same players and read it as a role on a depth chart (how).

Most similar players this season

Finishing

Model-based

Did the goals match the chances?

Goals against expected goals

Cumulative goals (solid) and individual xG (dashed) through the season. The gap is finishing: above the dashed line, the player scored more than an average shooter would from the same chances.

−0.1 goals above expected

Goals above expected, everyone at the same position with 20+ games