Kyle Smith 2019 Stats
Played for Orlando City SC in 2019 · Position: Defender.
Kyle Smith (Orlando City SC, defender) had 0 goals and 0 assists in 7 appearances in 2019 (324 minutes, all competitions). Tackles per 90 in Major League Soccer: 1.39. Started 4 of 7.
Kyle Smith (Orlando City SC) averaged a TACTIX Impact of 0.9 per match across seven appearances — per TACTIX Impact, an open rating with every weight published (as of 7 September 2019).
An open, transparent rating built from raw match actions across 7 appearances in 2019 (all competitions) — every weight is published. Higher is better; a negative score just means costly actions outweighed productive ones in that sample — not a verdict on the player.
Profile
Kyle Smith is a defender at Orlando City SC, with seven appearances and 324 minutes in Major League Soccer 2019. TACTIX Impact: 0.9 per match across seven appearances in Major League Soccer matches, the 16th percentile of 519 qualifying Major League Soccer players. Kyle Smith has started 4 of seven appearances in 2019 (all competitions), averaging 46 minutes. That is 11% of the Major League Soccer minutes available to him (324 of 3060 across 34 club matches).
Keeper, venue and career
Against his career: 1.39 tackles per 90 in 2019 (324 minutes) versus 2.01 across every season on record (6937 minutes).
Form and availability
Impact over the last five matches (newest first): 1.9, 1.9, 0.5, 0.5, 0.0 — trending up, averaging 1.0 against a season figure of 0.9.
Season 2019 · All Competitions
Started 4 of 7 appearances, 3 from the bench · 46 minutes per appearance · 11% of the Major League Soccer minutes available (324 of 3060).
Against his career: 1.39 tackles per 90 in 2019 (324 minutes) · 2.01 across every season on record (6937 minutes).
Major League Soccer only: 7 apps · 0.9 Impact per match in 2019. See the Major League Soccer Impact leaderboard.
Kyle Smith Stats per 90 · Major League Soccer 2019, defender
| Stat | Kyle Smith | vs cohort |
|---|---|---|
| Tacklesper 90 | 1.39 | — |
| Interceptionsper 90 | 1.11 | — |
| Blocksper 90 | 0.00 | — |
| Duels wonper 90 | 0.28 | — |
| Duel win rate | 25.0% | — |
| Fouls committedper 90 | 0.56 | — |
| Cardsper 90 | 0.00 | — |
| Passesper 90 | 33.06 | — |
Per 90 minutes over 324 minutes in Major League Soccer 2019. League ranks appear once the nightly cohort build has run for this season.
Last 7 Appearances · All Competitions
- 1+ tackle3 of 7
- 2+ tackles2 of 7
- 1+ foul committed2 of 7
- 1+ shot2 of 7
- Booked0 of 7
How often, not how much: the matches where each line happened, out of the matches where it was recorded (2019-04-06 to 2019-09-07, newest first). History, not a forecast — the model’s player projections are on Pro.
Profile Radar · Major League Soccer 2019, defender
No cohort has been computed for Major League Soccer 2019 yet, so the figures below stand alone.
| Axis | Kyle Smith | Median | Pct |
|---|---|---|---|
| Shootingshots p90 | 0.56on target 50.0% | — | — |
| Scoringgoals p90 | 0.00 | — | — |
| Creationkey passes + assists p90 | 0.00 | — | — |
| Passingpasses p90 | 33.06 | — | — |
| Dribblingsuccessful dribbles p90 | 0.56success 66.7% | — | — |
| Duelsduels won p90 | 0.28win rate 25.0% | — | — |
| Defendingtackles + interceptions + blocks p90 | 2.50 | — | — |
| Disciplinecards + fouls p90 (fewer is better) | 0.56 | — | — |
Where That Sits in Major League Soccer
0.9 per match — 16th percentile of 519 qualifying Major League Soccer players (1+ apps), 2019. Shaded band = 10th–90th percentile; the line is the median.
Career · Every Team, by Season · All Competitions
| Season | Team | Apps | Goals | Assists | Tkl+Int/90 | KP/90 | Impact |
|---|---|---|---|---|---|---|---|
| 2026 | FC Cincinnati | 29 | 1 | 1 | 2.53 | 0.26 | 1.6 |
| 2025 | Orlando City SC | 31 | 0 | 2 | 2.62 | 0.67 | 1.3 |
| 2024 | Orlando City SC | 34 | 0 | 1 | 2.32 | 0.70 | 1.0 |
| 2023 | Orlando City SC | 28 | 1 | 2 | 3.03 | 0.69 | 1.8 |
| 2022 | Orlando City SC | 10 | 1 | 0 | 6.04 | 0.55 | 2.2 |
| 2021 | Orlando City SC | 2 | 0 | 0 | 7.35 | 0.00 | 2.8 |
| 2020 | Orlando City SC | 5 | 0 | 0 | 2.24 | 0.64 | 1.5 |
| 2019 | Orlando City SC | 7 | 0 | 0 | 2.50 | 0.00 | 0.9 |
Game Log · Last 7 Appearances · All Competitions
| Date | Opponent | Min | G | A | Sh | SoT | KP | Tkl | Cards | Rating | Impact | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-09-07 | v Los Angeles FC | 96 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 6.3 | 1.9 | |
| 2019-09-01 | @ San Jose Earthquakes | 90 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 6.5 | 1.9 | |
| 2019-08-18 | @ Minnesota United FC | 90 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 6.6 | 0.5 | |
| 2019-08-14 | v Sporting Kansas City | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6.7 | 0.5 | |
| 2019-08-03 | v FC Dallas sub | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | – | 0 | |
| 2019-05-24 | v Los Angeles Galaxy sub | 34 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 6.6 | 0.8 | |
| 2019-04-06 | v Colorado Rapids sub | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | – | 0 |
Min = minutes; Sh = shots, SoT = shots on target, KP = key passes, Tkl = tackles; – = not recorded for that match. Rating is the data provider’s; Impact is TACTIX’s published formula.
Impact Trend · Last 7 Matches
2019 is complete — this page is Kyle Smith’s record for that season. See Kyle Smith’s current season.
Frequently Asked Questions
- How many tackles does Kyle Smith average per 90?
- Kyle Smith averages 1.39 tackles per 90 minutes in Major League Soccer 2019 (324 minutes).
- How many goals and assists did Kyle Smith have in 2019?
- In 2019 Kyle Smith had 0 goals and 0 assists in 7 appearances (324 minutes played).
- Did Kyle Smith start regularly in 2019?
- Kyle Smith started 4 of 7 appearances in 2019, averaging 46 minutes per appearance (all competitions).
- What was Kyle Smith’s TACTIX Impact in 2019?
- Kyle Smith averaged a TACTIX Impact of 0.9 per match across 7 appearances in 2019 in all competitions — an open rating built from raw match actions, with every weight published.
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This page is generated from TACTIX’s match data by our software and checked automatically; data as of . How it works → · Report an error
How TACTIX Impact is calculated · Live track record · Stats are historical; predictions are model output, not betting advice.