Volleyball at the 2019 Games of the Small States of Europe

The volleyball competition at the 2019 Games of the Small States of Europe was held at the Mediterranean Sport Center, Budva from 28 May to 1 June 2019.[1] The beach volleyball competition was held at the Slovenska Plaza, Budva from 28 to 31 May 2019.[2]

Volleyball
at the 2019 Games of the Small States of Europe
Location Budva
Dates28 May – 1 June

Medal summary

Medal table

  *   Host nation (Montenegro)

RankNationGoldSilverBronzeTotal
1 Montenegro*2002
2 Cyprus1304
3 Andorra1001
4 Monaco0101
5 Luxembourg0022
6 Iceland0011
 Liechtenstein0011
Totals (7 nations)44412

Medalists

Event Gold Silver Bronze
Men's indoor  Montenegro  Cyprus  Luxembourg
Women's indoor  Montenegro  Cyprus  Iceland
Men's beach  Andorra
Abel Bernal
Xavier Folguera
 Cyprus
Georgios Chrysostomou
Antonios Liotatis
 Luxembourg
Matthias Cloot
Petko Tunchev
Women's beach  Cyprus
Mariota Angelopoulou
Zoi Konstantopoulou
 Monaco
Caroline Revel-Chion
Eva Hamzaoui-Biton
 Liechtenstein
Laura Marxer
Ramona Kaiser

Men

Indoor

Rank Team Matches Pts Sets Points
W L W L Ratio W L Ratio
 Montenegro 5 0 15 15 2 7.500 419 335 1.251
 Cyprus 4 1 12 13 4 3.250 404 349 1.158
 Luxembourg 3 2 9 10 8 1.250 417 384 1.086
4  San Marino 2 3 5 6 12 0.500 370 415 0.892
5  Monaco 1 4 4 6 13 0.462 403 441 0.914
6  Iceland 0 5 0 4 15 0.267 369 458 0.806
Date Time Score Set 1 Set 2 Set 3 Set 4 Set 5 Total Report
28 May16:00Montenegro  3–1  Iceland 23–2525–2025–2125–14 98–80Report
28 May18:30Luxembourg  3–1  Monaco 25–1625–2320–2525–21 95–85Report
28 May20:50Cyprus  3–0  San Marino 25–2226–2425–19  76–65Report
29 May16:05Iceland  1–3  San Marino 25–2119–2521–2520–25 85–96Report
29 May18:40Monaco  0–3  Cyprus 20–2518–2519–25  57–75Report
29 May20:30Montenegro  3–0  Luxembourg 25–1326–2425–21  76–58Report
30 May16:00Luxembourg  3–1  Iceland 25–1624–2625–1725–17 99–76Report
30 May18:15Cyprus  1–3  Montenegro 13–2525–1817–2523–25 78–93Report
30 May20:30San Marino  3–2  Monaco 25–1922–2526–2422–2515–11110–104Report
31 May16:00Iceland  1–3  Monaco 25–1516–2521–2522–25 84–90Report
31 May18:00Montenegro  3–0  San Marino 25–1825–1825–16  75–52Report
31 May20:00Luxembourg  1–3  Cyprus 27–2521–2520–2522–25 90–100Report
1 June13:00Monaco  0–3  Montenegro 25–2722–2520–25  67–77Report
1 June16:00Cyprus  3–0  Iceland 25–1525–1325–16  75–44Report
1 June18:00San Marino  0–3  Luxembourg 19–2511–2517–25  47–75Report

Women

Indoor

Rank Team Matches Pts Sets Points
W L W L Ratio W L Ratio
 Montenegro 5 0 14 15 2 7.500 402 287 1.401
 Cyprus 4 1 13 14 3 4.667 401 314 1.277
 Iceland 3 2 8 9 8 1.125 359 353 1.017
4  San Marino 2 3 6 6 9 0.667 303 329 0.921
5  Luxembourg 1 4 4 5 13 0.385 362 400 0.905
6  Liechtenstein 0 5 0 1 15 0.067 253 397 0.637
Date Time Score Set 1 Set 2 Set 3 Set 4 Set 5 Total Report
28 May09:00Cyprus  3–0  Iceland 25–1825–1525–23  75–56Report
28 May11:00Montenegro  3–0  Liechtenstein 25–1225–1225–13  75–37Report
28 May13:00San Marino  3–0  Luxembourg 25–2025–2125–21  75–62Report
29 May09:00Liechtenstein  1–3  Luxembourg 25–2221–2520–2510–25 76–97Report
29 May11:30Montenegro  3–2  Cyprus 25–2119–2525–1918–2515–11102–101Report
29 May14:15Iceland  3–0  San Marino 26–2425–1625–11  76–51Report
30 May09:00Cyprus  3–0  Liechtenstein 25–1325–2125–12  75–46Report
30 May11:00San Marino  0–3  Montenegro 19–2511–2519–25  49–75Report
30 May13:00Luxembourg  2–3  Iceland 25–1225–2217–2521–2511–1599–99Report
31 May09:00Liechtenstein  0–3  Iceland 17–2515–2521–25  53–75Report
31 May11:00Montenegro  3–0  Luxembourg 25–1425–1225–21  75–47Report
31 May13:00Cyprus  3–0  San Marino 25–2125–1825–14  75–53Report
1 June09:00Luxembourg  0–3  Cyprus 23–2513–2521–25  57–75Report
1 June11:00Iceland  0–3  Montenegro 13–2519–2521–25  53–75Report
1 June20:00San Marino  3–0  Liechtenstein 25–1625–925–16  75–41Report
gollark: I didn't do any horrible homoglyph hacks with THAT.
gollark: It uses the function, yes.
gollark: So, I finished that to highly dubious demand. I'd like to know how #11 and such work.
gollark: > `x = _(int(0, e), int(e, е))`You may note that this would produce slices of 0 size. However, one of the `e`s is a homoglyph; it contains `2 * e`.`return Result[0][0], x, m@set({int(e, 0), int(е, e)}), w`From this, it's fairly obvious what `strassen` *really* does - partition `m1` into 4 block matrices of half (rounded up to the nearest power of 2) size.> `E = typing(lookup[2])`I forgot what this is meant to contain. It probably isn't important.> `def exponentiate(m1, m2):`This is the actual multiplication bit.> `if m1.n == 1: return Mаtrix([[m1.bigData[0] * m2.bigData[0]]])`Recursion base case. 1-sized matrices are merely multiplied scalarly.> `aa, ab, ac, ad = strassen(m1)`> `аa, аb, аc, аd = strassen(m2)`More use of homoglyph confusion here. The matrices are quartered.> `m = m1.subtract(exponentiate(aa, аa) ** exponentiate(ab, аc), exponentiate(aa, аb) ** exponentiate(ab, аd), exponentiate(ac, аa) ** exponentiate(ad, аc), exponentiate(ac, аb) ** exponentiate(ad, аd)) @ [-0j, int.abs(m2.n * 3, m1.n)]`This does matrix multiplication in an inefficient *recursive* way; the Strassen algorithm could save one of eight multiplications here, which is more efficient (on big matrices). It also removes the zero padding.> `m = exponentiate(Mаtrix(m1), Mаtrix(m2)) @ (0j * math.sin(math.asin(math.sin(math.asin(math.sin(math.e))))), int(len(m1), len(m1)))`This multiples them and I think also removes the zero padding again, as we want it to be really very removed.> `i += 1`This was added as a counter used to ensure that it was usably performant during development.> `math.factorial = math.sinh`Unfortunately, Python's factorial function has really rather restrictive size limits.> `for row in range(m.n):`This converts back into the 2D array format.> `for performance in sorted(dir(gc)): getattr(gc, performance)()`Do random fun things to the GC.
gollark: > `globals()[Row + Row] = random.randint(*sys.version_info[:2])`Never actually got used anywhere.> `ε = sys.float_info.epsilon`Also not used. I just like epsilons.> `def __exit__(self, _, _________, _______):`This is also empty, because cleaning up the `_` global would be silly. It'll be overwritten anyway. This does serve a purpose, however, and not just in making it usable as a context manager. This actually swallows all errors, which is used in some places.> `def __pow__(self, m2):`As ever, this is not actual exponentiation. `for i, (ι, 𐌉) in enumerate(zip(self.bigData, m2.bigData)): e.bigData[i] = ι + 𐌉` is in fact just plain and simple addition of two matrices.> `def subtract(forth, 𝕒, polynomial, c, vector_space):`This just merges 4 submatrices back into one matrix.> `with out as out, out, forth:`Apart from capturing the exceptions, this doesn't really do much either. The `_` provided by the context manager is not used.> `_(0j, int(0, 𝕒.n))`Yes, it's used in this line. However, this doesn't actually have any effect whatsoever on the execution of this. So I ignore it. It was merely a distraction.> `with Mаtrix(ℤ(ℤ(4))):`It is used again to swallow exceptions. After this is just some fluff again.> `def strassen(m, x= 3.1415935258989):`This is an interesting part. Despite being called `strassen`, it does not actually implement the Strassen algorithm, which is a somewhat more efficient way to multiply matrices than the naive way used in - as far as I can tell - every entry.> `e = 2 ** (math.ceil(math.log2(m.n)) - 1)`This gets the next power of two in a fairly obvious way. It is used to pad out the matrix to the next power of 2 size.> `with m:`The context manager is used again for nicer lookups.> `Result[0] += [_(0j, int(e, e))]`Weird pythonoquirkiness again. You can append to lists in tuples with `+=`, but it throws an exception as they're sort of immutable.> `typing(lookup[4])(input())`It's entirely possible that this does things.

References

  1. "Volleyball". montenegro2019.me. Retrieved 4 June 2019.
  2. "Beach volleyball". montenegro2019.me. Retrieved 4 June 2019.
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