POLYMARKET · PREDICTION MARKET · COUNTER-STRIKE: BETBOOM TEAM VS FUT ESPORTS (BO3) - IEM COLOGNE MAJOR STAGE 3

Counter-Strike: BetBoom Team vs FUT Esports (BO3) - IEM Cologne Major Stage 3

YES · live
44.5¢
NO · live
55.5¢

▸ Advanced metrics · M2M bundle

polymarket · cs2-bb3-fut-2026-06-15 · fresh · feed 0s old
24h sparkline · 60 pts
realized vol (ann.)
56.24%
max drawdown
2.20%
sharpe
ulcer index
1.10%
RMS drawdown
pain index
0.55%
mean drawdown
mod. VaR 95%
0.00%
Cornish-Fisher
martin ratio
ret / ulcer
CDaR 95%
2.20%
cond. drawdown
gain/pain
0.00
Σgain / Σ|loss|
sterling
ret / CDaR
omega (θ=0)
0.00
upside/downside
roll spread
0.8 bps
implied (price-only)
bars used
555
store
spread
24h Δ
flow lean
carry
flat
signalNEUTRALconfidence 20%
Same bundle via M2M API: /api/m2m/pm-cs2-bb3-fut-2026-06-15/bundle · venue execution: polymarket
LIVEPOLL0SRCFRESH18ms--:--:-- UTC8NEXT8.0sUP0s--:--HIST0/30
▶ STREAMING·HYPERLIQUID·POLYMARKET·0 POLLS·SRC FRESH·UPTIME 0s·NEXT POLL 8.0s·CC0 OPEN DATA·HYPO.MARKETS·▶ STREAMING·HYPERLIQUID·POLYMARKET·0 POLLS·SRC FRESH·UPTIME 0s·NEXT POLL 8.0s·CC0 OPEN DATA·HYPO.MARKETS·
YES · live
44.5¢
NO · live
55.5¢
YES price · live 24h
n=7 · μ=0.4571 · σ=0.0107 · range [0.4450, 0.4800] · R²=0.568 FALLING -7.29%σ NORMAL 2.35%LAST 0.44500.48000.47130.46250.45370.4450μ = 0.4571max 0.4800min 0.4450dataMA(2)OLS R²=0.57μ lineμ ± σ bandmaxminlive endpoint
7 ticks · last 44.50¢
YES / NO split · live
YES 44.5%NO 55.5%NO55.5%55.50¢ · odds 1/1.80
Σ 100.00% · fair
Σ-sides total = 100.00% (tight rounding)
H(p) entropy = 0.991 / 1.00 bits (99%) · max uncertainty (~50/50)
YES
44.5%44.5¢2.25× +0.00pp
NO
55.5%55.5¢1.80× +0.00pp
Σ 100.00% · arb gap 0.00pp
Per-tick activity · |Δp| in basis points · live
n=6 · Σ=350 · μ=58.3 · σ=102.1 · CV=1.75BURSTY · concentratedcumulative energy ↗ · 50% by h=1062125187250μ = 5825050%h1h2h3h4h5h6#1 peak#2-3> μactivequietμ linecum energy
Σ 350bp moved · peak 250bp · n=6 ticks
Live numerics · pulse on poll
LIVE NUMERICS8 metrics·POLL 0
snapshot age
18ms
YES mid
44.50¢ (44.50%)
NO mid
55.50¢ (55.50%)
ΣΣ sides
100.00%
arb gap
0.000pp
$24h vol $
$71.3k
liquidity $
$248.5k
history points
7 ticks (live)

§1 · 24h price history (YES + NO tokens)

YES price · CLOB mid
n=7 · μ=0.4571 · σ=0.0107 · range [0.4450, 0.4800] · R²=0.568 FALLING -7.29%σ NORMAL 2.35%LAST 0.44500.48000.47130.46250.45370.4450μ = 0.4571max 0.4800min 0.4450dataMA(2)OLS R²=0.57μ lineμ ± σ bandmaxmin
7 YES observations from clob.polymarket.com · last 44.50¢
NO price · CLOB mid
n=7 · μ=0.5429 · σ=0.0107 · range [0.5200, 0.5550] · R²=0.568 RISING +6.73%σ NORMAL 1.98%LAST 0.55500.55500.54630.53750.52880.5200μ = 0.5429max 0.5550min 0.5200dataMA(2)OLS R²=0.57μ lineμ ± σ bandmaxmin
7 NO observations from clob.polymarket.com · last 55.50¢

§3 · Sample moments

Descriptive statistics · 5-number summary · shape diagnostics
SAMPLE MOMENTS · N=7STRONGLY RIGHT-SKEWED (G₁=1.16)
μ MEAN45.71¢95% CI: [44.92¢, 46.51¢]
σ STD DEV1.07ppσ² = 1.155 · CV = 2.35%
med MEDIAN45.50¢Q₁ 45.50¢ · Q₃ 45.50¢
FIVE-NUMBER SUMMARY · BOX PLOT
min 44.50¢Q₁ 45.50¢med 45.50¢Q₃ 45.50¢max 48.00¢μ
SKEWNESS · G₁1.163right-skewed
−3−10+1+3
EXCESS KURTOSIS · G₂0.158mesokurtic · normal-like
−30+2+4+6
μ ↔ medianμ > med · right-tailed|μ−med| / σ = 0.20
σ × 1.349 ↔ IQRdiverges from normalratio = 0.00
range ↔ σconcentrated (range < 4σ)range / σ = 3.26
μ = mean YES probability · σ = standard deviation · 95% CI = μ ± 1.96·SE. Skew/kurt diagnose departure from normality.

§5 · Time-series structure

Regime & autocorrelation diagnostics
TIME-SERIES STRUCTUREREGIME: MARTINGALE · UNPREDICTABLE
ρ(1) AUTOCORR-0.065within white-noise band
ρ(2) AUTOCORR-0.131lag-2 not significant
H · HURST EXPONENT0.500random-walk
OLS TREND · t-STAT-2.566significant @ α=0.05
HURST EXPONENT [0, 1]
H = 0.500RANDOM-WALK
0
anti-persistent
0.45
mean-reverting
0.5
random walk
0.55
persistent
1
strongly trending
AUTOCORRELATION FUNCTION · ρ(k) for k=1..5
k=1-0.065k=2-0.131k=3-0.196k=4-0.261k=5+0.0000+1−1+0.820.82+ momentum (ρ > +0.82)− reversal (ρ < −0.82)noise (within band)±2/√n threshold
OLS TREND · t-STAT · [-5, +5]
−5 reject−1.960 retain H₀+1.96+5 reject
REGIME CLASSIFICATIONMARTINGALE · UNPREDICTABLEfrom Hurst + ρ(1) joint diagnosis
PREDICTABILITY · score 0.07low · ~ unpredictable|ρ(1)| + 2·|H − 0.5| heuristic
TREND SIGNIFICANCESIGNIFICANT @ 5% (|t|=2.57)α=0.05 critical |t|=1.96 · α=0.01 |t|=2.58
ρ(k) = lag-k sample autocorrelation · H = R/S Hurst exponent · t = OLS-trend t-statistic. Significance bands at ±2/√n approximate the 95% white-noise envelope. α=0.05 critical |t|=1.96; α=0.01 |t|=2.58.

§6 · Microstructure

Market quality · two-sided pricing · activity
MICROSTRUCTURE · MARKET QUALITYPERFECT · ARB-FREE Σ=100.00%
MARKET ID2546592
SLUGcs2-bb3-fut-2026-06-15
CATEGORYCounter-Strike: …ajor Stage 3
TWO-SIDED PRICING
PRIMARY · YES44.50¢implied prob 44.50% · decimal odds 2.25×
COUNTER · NO55.50¢implied prob 55.50% · decimal odds 1.80×
44.50¢
55.50¢
Σ-SIDES ARBITRAGE TEST
0%50%100% · target110%
Σ = 100.00% · |1 − Σ| = 0.000pp
24H ACTIVITY · LIQUIDITY
24H VOLUME71.31k USD 24h
LIQUIDITY248.54k USD
MARKET QUALITYPERFECT · ARB-FREE Σ=100.00%|1−Σ| ≤ 0.5pp ⇒ fair · > 2pp ⇒ inefficient
PRICING SKEWFAVOURS NO (56¢)|primary − counter| = 0.110 · entropy 0.991 bits
LIQUIDITY DEPTHACTIVE100k+ deep · 10k+ active · 1k+ modest · 100+ thin
Σ-sides = YES + NO implied probabilities. Perfect arb-free Σ = 100%. |1−Σ| > 2pp suggests synthetic outright arbitrage.

§7 · Position sizing & edge analysis

Probability split · YES vs NO · Kelly · entropy · arbitrage
FAIR MARKET · no edge
YES 44.5%NO 55.5%YES44.5%H = 0.991 / 1.00 bits
Probability scale (YES)
0%25%50%
fair
75%100%
Implied decimal odds
YES2.25×(45¢)NO1.80×(56¢)
Kelly bet-size (% of bankroll) K* = 0.00%
K* full
0.00%
½K half
0.00%
¼K quarter
0.00%
Entropy H(p̂) = 0.991 bits (99% of max) · maximum uncertainty (~50/50)
0 (certain)0.250.50.751.00 (max)
Σ-sides = 100.00% · |1 − Σ| = 0.00pp · tight cross-venue rounding
K* full = (b·p − q)/b · ½K and ¼K are conservative fractions of the full-Kelly bet. Entropy in bits — log₂(2)=1 is maximum uncertainty for a binary market.

§8 · Time decay & θ projection

Time decay & theta projection
⏱ URGENCY · HIGHresolves 2026-06-15 20:30 UTC
0days
16hrs
36min
YES$1.00(P = 44.5%)
NO$0.00(P = 55.5%)
current: $0.4450 · expected return per side: $0.55 on YES hit · $0.45 on NO hit
0%25%50%75%100%YES $1NO $0NOW+8.3hRESOLVESP projection · σ=1.07% · path funnel to settle at YES=1 or NO=0
Theta progression · θ ∝ σ / √t_remainingθ_now = 5.264 pp/day
now16.60h left
5.264 pp/day×1.00
−25%12.45h left
6.079 pp/day×1.15
−50%8.30h left
7.445 pp/day×1.41
−75%4.15h left
10.529 pp/day×2.00
−90%1.66h left
16.648 pp/day×3.16
θ approximation: σ/√T (expected daily move magnitude). The cone shows ±√(p̂(1−p̂)) widening as time decays, funneling to {0, 1} at resolution. Theta accelerates as √(t_left)→0.

▸ Depth section using sovereign-store price series (555 bars · effective 1753395 bars/year) — annualisation reflects native polling cadence, not upstream timeframes.

§14 · Honest position analytics

A binary-market analytics module framed in horizon time (days to resolution, not annualised). Estimators that need a model probability q as a first-class input (Kelly, KL divergence, Bayesian posterior, Mark-to-Market MC) only render when q is provided externally. Sweep an exploratory q at the interactive simulator →

§15 · Horizon returns

Returns · per bar / per day / per horizon
Horizon 0.7 d · σ/bar 0.042pp · expected |Δp| over horizon 0.17ppterminal variance p(1−p) = 0.2470 · n = 555n = 555
μ per bar
-0.002pp
average Δp · drift
σ per bar
0.042pp
one-bar volatility · logit-free
Per-day movedaily
0.21pp
σ × √24
Per-horizon move1d
0.17pp
σ × √16.600076944444446
Terminal variancebinary
0.2470
p(1−p) at resolution
Current pricep
44.5¢
latest snapshot
Note: annualised Sharpe/Sortino are omitted — they are not meaningful for a bounded fixed-horizon binary contract that snaps to {0, 1} at resolution.
Annualised metrics are intentionally omitted — they don't apply to bounded probability series that resolve at a fixed date.

§16 · Tail risk

VaR · ES · max drawdown
VaR₉₅ 0.07pp · ES₉₅ 0.09pp · method parametric · drift-correcteddrift -0.002pp/bar · quantised: yes · median step 1.00pp · unique ratio 0.00n = 555
VaR 95%
0.07pp
1.645·σ (parametric) of Δp
ES 95%
0.09pp
mean of the tail
Max drawdown
2.2pp
peak 45.5¢ → trough 44.5¢
Median step
1.00pp
price bucket granularity
Price series is bucketed (cent grid). Empirical quantiles collapse to grid points — parametric N(0, σ²) used instead.
Empirical quantiles unless the price series is bucketed (PM cent grid), in which case parametric N(0, σ²) is used to avoid grid collapse.

§17 · Odds conversion

Odds conversion · every dialect a bettor thinks in
Implied probabilityP
44.5%
= price
Decimal oddsEU
2.247
total return per $1
AmericanUS
+125
$100 wins $125
FractionalUK
1.25 / 1
profit per $1 risked
Profit per $100stake
+$124.72
clean dollar framing
-1000-5000+500+1000020406080100you · 44.5%implied probability (%)American odds
underdog (+)favorite (-)your price
Price → implied probability → decimal odds → American moneyline → fractional. Five views of the same number, plus the moneyline curve.

§18 · Binary entropy

Binary entropy · uncertainty as bits of information
Market entropyH(p)
0.991 bit
max 1.0 at p = 0.5
Your entropyH(q)
0.991 bit
Δ +0.000 bit vs market
Surprise · YES−log₂ p
1.17 bit
self-information
Surprise · NO−log₂(1−p)
0.85 bit
self-information
0.000.260.530.791.050.00.20.40.60.81.0marketmodelprobabilityH (bits)
Market entropy only — model entropy requires an external q.

§19 · Model-dependent surfaces

§ Edge / Kelly / KL · no model probability provided

External model required

The position-economics, Kelly, KL-divergence, Bayesian and Monte-Carlo surfaces require a model probability q as input — a number independent of the market price p.

The previous build defaulted q to a tape-momentum heuristic derived from p; that produces apparent edge that is structurally guaranteed to be small and is not a useful skill signal. The auto-derived path has been removed.

To explore these surfaces with a hypothetical q, open the interactive simulator and drag the MODEL P(YES) slider. To wire a real model, POST to the NOSTRADAMUS hook (TBD) or pass ?q=… on the simulator URL.

§∞ · Provenance & attestation

Upstream (snapshot)
gamma-api.polymarket.com
Upstream (history)
clob.polymarket.com
YES token ID
80853629500268012059927122982466495475165493396816223336837442143724516040782
NO token ID
95184095757909673099206080172926338796843754468499607769514119750768702996213
Snapshot fetched
2026-06-15 03:53:59 UTC
Snapshot age
18ms
History points
7 CLOB mids
Page rendered
2026-06-15 03:53:59 UTC
Storage policy
no persistence — fetched on every request
SHA-256 attestation
fbe88d07d945351fe8ad3d1171a036092772e6e8732e99e294929dd00596f89b · deterministic hash of source snapshot
Open data licence
CC0 / public domain

§∞-2 · Related markets · explore more

Also see: /arb opportunities · RSS feed · more in Counter-Strike: BetBoom Team vs FUT Esports (BO3) - IEM Cologne Major Stage 3

Market depth

live order book · Polymarket YES
Depth within 1bp
$0
bid $0 · ask $0
Depth within 5bp
$0
bid $0 · ask $0
Depth within 10bp
$0
bid $0 · ask $0
Depth within 50bp
$0
bid $0 · ask $0
Mid price
0.445000
(best bid + best ask) / 2
Spread
224.7bp
(bestAsk − bestBid) / mid
Imbalance (whole book)
-0.635
ask-heavy
Imbalance (top-5)
-0.703
ask-heavy top-of-book

Slippage scenarios

live book walk · Polymarket YES

Simulating a market order at three notionals against the live book. Slippage = avg execution price vs. mid, in basis points. Worst fill = price of the deepest level touched. Live JSON: /api/asset/pm-cs2-bb3-fut-2026-06-15/slippage?size=10000&side=buy

SideNotionalAvg fillSlippageWorst fillLevelsStatus
BUY$1.00K0.450000112.36bp0.4500001FILLED
BUY$10.00K0.450000112.36bp0.4500001FILLED
BUY$100.00K0.457733286.14bp0.4600002FILLED
SELL$1.00K0.440000112.36bp0.4400001FILLED
SELL$10.00K0.434375238.76bp0.4300002FILLED
SELL$100.00K0.3634151833.36bp0.01000023PARTIAL

Risk metrics

sovereign store · 555 barsperiods/year ≈ 1.75M
Realized vol (annualised)
125.02%
σ per bar = 0.000944
Mean return (annualised)
-7033.56%
μ per bar = -0.000040
Sharpe (rf=0)
-56.26
annualised; risk-free assumed zero
Max drawdown
2.20%
peak 0.46 → trough 0.45 over 416 bars

/api/asset/pm-cs2-bb3-fut-2026-06-15/risk · same metrics, JSON