Team #00 · Sportsman · Timing-Based Team Analysis

Team
Fang

Cooloola — Round 1

15 March 2026 6-Hour Endurance 0.89 km Circuit Cooloola Coast Kart Club Data: MYLAPS Speedhive

Finish Position

8th

of 8 teams · Sportsman

Best Lap

44.396s

— P8 in field

Total Laps

414

62 laps behind leader

Race Time

6:01:06

119 championship pts

Race Results

Overall Classification

Final race classification for SEKQLD Round 1 at Cooloola. 8 teams completed the 6-hour endurance race. Team Fang finished 8th with 414 laps.

SEKQLD Round 1 final race classification
Pos	#	Team	Total Time	Laps	Best Lap	Gap
1	#66	Force Phantom	6:00:52.771	476	42.820s	—
2	#64	Alpha Racing Team	6:01:02.254	474	43.121s	2 laps
3	#787	ShapeCUT Racing	6:01:09.264	469	42.996s	7 laps
4	#42	GF Motorsports	6:01:09.050	466	43.490s	10 laps
5	#49	BR Motorsport FASTEST LAP	6:01:16.551	466	42.815s	10 laps
6	#397	CASA Racing	6:01:18.384	460	43.628s	16 laps
7	#95	Project 5FIVE3	6:01:02.174	458	43.122s	18 laps
8	#00	Team Fang (Come'n'Try)	6:01:06.071	414	44.396s	62 laps

Qualifying

Grid Position

Team Fang qualified P8, +02.082s off pole. Qualifying determines the starting order for the 6-hour race.

SEKQLD Round 1 qualifying results
Pos	#	Team	Class	Laps	Best Lap	Gap
1	#66	Force Phantom	Maxx	13	42.920s	—
2	#49	BR Motorsport	Sportsman	11	43.178s	+00.258s
3	#64	Alpha Racing Team	Maxx	14	43.191s	+00.271s
4	#95	Project 5FIVE3	Maxx	13	43.322s	+00.402s
5	#42	GF Motorsports	Sportsman	13	43.516s	+00.596s
6	#787	ShapeCUT Racing	Maxx	13	43.521s	+00.601s
7	#397	CASA Racing	Sportsman	13	44.065s	+01.145s
8	#00	Team Fang (Come'n'Try)	Sportsman	11	45.002s	+02.082s

Pace Analysis

Pace Profile

Comparing each team's fastest single lap against their estimated average lap time. A smaller gap between best and average indicates more consistent pace throughout the 6-hour race.

#49 BR Motorsport

42.815s

46.516s

#66 Force Phantom

42.820s

45.489s

#787 ShapeCUT Racing

42.996s

46.203s

#64 Alpha Racing Team

43.121s

45.701s

#95 Project 5FIVE3

43.122s

47.297s

#42 GF Motorsports

43.490s

46.500s

#397 CASA Racing

43.628s

47.127s

#00 Team Fang

44.396s

52.334s

Best Lap Estimated Average Lap

Insights

Key Takeaways

Timing-based insights for Team Fang inferred from public Rd 1 qualifying, race, and points data.

🎯

Held Position

Qualified P8 and finished P8 — maintained grid position throughout the 6-hour race.

⚡

P8 Best Lap

Best lap of 44.396s was 1.581s off the field fastest (42.815s). Ranked 8th for single-lap pace across all teams.

📊

Consistency: P8

Gap between best lap and estimated average: 7.94s. Ranked 8th out of 8 teams for race consistency. Lower gap = fewer disruptions and steadier pace.

🏆

119 Championship Points

Sitting P8 overall in the championship after Round 1. Class: Sportsman.

Timing-Based Read

Data-Inferred Report

This page is inferred from public timing only. Without pit-stop, driver, fuel, or incident logs, the notes below describe likely race patterns rather than confirmed team decisions.

High-confidence timing read: Team Fang held its starting position, but the public timing suggests that result flatters the stability of the race. The biggest average-lap drop in the field points to repeated costly phases rather than a simple lack of outright speed.

Grid To Flag

P8 → P8

They held position on paper, but the lap-time profile still shows a difficult six-hour run.

Consistency Rank

A 7.94s best-to-average gap was the largest in the field by a wide margin.

Average-Lap Gap

+5.207s

Their estimated average lap was more than 5.2s slower than CASA and over 6.8s slower than Force Phantom.

🧱

Held Grid, Not Pace

Team Fang qualified P8 and finished P8, so the final position matched the starting spot. But the timing profile shows the largest best-to-average gap in the field, meaning the race itself was harder to keep stable than the finishing line suggests.

⌛

Where The Gap Opened

Their best lap was 1.274s slower than Project 5FIVE3, but the estimated average lap was over 5.0s slower. That points to cumulative race-time loss rather than one-lap pace alone.

📉

Long-Run Struggle

Team Fang's best lap was respectable enough to stay within sight of CASA in qualifying terms, but the race average drifted dramatically. The bigger issue appears to have been keeping the kart in a stable operating window over time.

❓

Inference Caveat

Without stop sheets or incident records, the data cannot say whether the pace loss came from driver changes, kart issues, or traffic. What it does show is that sustained race rhythm was the largest challenge over six hours.

Field Comparison

Where The Time Was Lost

The easiest way to read Team Fang's result is to compare their single-lap pace with their long-run pace against the teams closest to them.

📍

Vs CASA Racing

CASA was only 0.768s quicker on best lap, but over 5.2s quicker on estimated average. That tells us the major separator was not raw ceiling, but how often each team could run near its own ceiling.

🥊

Vs Project 5FIVE3

Project 5FIVE3 was 1.274s quicker on best lap, yet the average-lap gap grew to more than 5.0s and the finish gap became 44 laps. That is a classic sign of repeated slow phases compounding over time.

🔶

Vs BR Motorsport

BR's fastest lap was 1.581s quicker, but the estimated average-lap gap expanded to nearly 5.8s. Team Fang was not only missing the peak pace of the front half; it was also losing substantial time in the slower portions of the race.

🏆

Points Position

They leave Round 1 eighth on 119 points. The public timing suggests that the biggest gains available are operational and consistency-based rather than marginal top-speed improvements alone.

Inference Limits

Likely Race Pattern

Public timing cannot identify the exact sources of the lost time, but it does allow a plausible interpretation of the overall race shape.

🔄

Repeated Slow Windows

The very large best-to-average gap suggests the race included multiple extended slow periods rather than one isolated setback. That is usually what creates such a large spread over six hours.

🧰

Not Just A Pace Ceiling

If outright speed were the only issue, the average-lap loss would usually stay closer to the best-lap loss. Here, the average-lap penalty is much larger, which points toward disruptions on top of the base pace deficit.

🎯

What Improves The Result

The fastest way forward is likely not chasing a hero lap. It is reducing the long, slow segments that inflated the race average, because that is where the public timing says the biggest result losses occurred.

Round 1 Navigation

Round 1 Team Selector

Choose any team below to stay inside the Cooloola round context and compare reports side by side.

#66 Force Phantom #64 Alpha Racing Team #787 ShapeCUT Racing #42 GF Motorsports #49 BR Motorsport #397 CASA Racing #95 Project 5FIVE3 #00 Team Fang

Round 1 Team Hub → Full Field Analysis →

TeamFang

Overall Classification

Grid Position

Pace Profile

Key Takeaways

Data-Inferred Report

Where The Time Was Lost

Likely Race Pattern

Round 1 Team Selector

Team
Fang