skye

skye — CS2 Stats

76561198933583157[U:1:973317429]Steam profile ↗✓ No bans

2,260Tracked matches39%Win rate2021Tracked since
CSDB Rating4.9 DevelopingSupport
FaceitLevel 4 · 1,306 ELOTop 81.0% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GGskyeFACEITLevel 4 · 1,306 ELOSTANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim75
Positioning41
Utility62

0–100 skill scores via Leetify.

Recent form

COLD34–56–10Last 10034%Win rateLLLLLLLWWW

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · −8.0pp headshot accuracy · −13ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 37%
  • Avg reaction 622ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 37%
  • Avg reaction 666ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 40%
  • Avg reaction 673ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2.5 against its own average).

Aim7.5
Utility6.2
Positioning4.1
Opening Duels0.8
Clutch3.8

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 89% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

Reaction time. 665ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim7.5
Positioning4.1
Utility6.2
Mechanics7.2
Opening Duels1.7
Win Impact1.4

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time679ms−20ms
first ⅓ avg 699ms → last ⅓ avg 679ms
Headshot accuracy40.3%−1.5%
first ⅓ avg 41.8% → last ⅓ avg 40.3%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.09Best match rating · 9–5 · nuke, 24 Sept →
100%Best headshot accuracy · 2–13 · nuke, 26 Sept →
453msFastest reaction time · 3–13 · dust2, 8 Oct →
13–0Biggest win · cache, 30 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L7Current streak
4–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

shelterBest map · 57% over 7mirageWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
nukeC3815–2339%-0.02
dust2D112–918%-0.03
cacheD103–730%-0.02
mirageD81–713%-0.04
anubisD72–529%-0.03
shelterA74–357%0.01
infernoC73–443%-0.01
vertigoC52–340%0.03
ancient—41–325%-0.03
train—31–233%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (13% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

771Matches
48%Win rate
0.86Avg K/D
66.0ADR
71%Headshot %

Clutches & streaks

39%1v1 clutch win
20%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage27047%0.8712.2
Dust211748%0.8413.2
Inferno8046%0.9112.3
Nuke7148%0.9514.6
Ancient6866%0.9213.5
Anubis6047%0.8712.9
Overpass3139%0.8913.0
Cache1560%0.9114.5

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

41.1%Headshot accuracy
29.3%Accuracy (enemy spotted)
29.9%Spray accuracy
82.4%Counter-strafing
11.4°Preaim
665msReaction time
33.0%T opening success
40.7%CT opening success
0.58Enemies flashed / flash
3.8%Flash assists
10.15HE damage / grenade
11.89Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 32.9983% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke7–13-0.0543%13 Oct →
dust211–13-0.0222%13 Oct →
nuke8–130.0439%13 Oct →
nuke8–130.0545%10 Oct →
anubis6–13-0.0335%10 Oct →
train3–13-0.0456%10 Oct →
train11–13-0.0525%10 Oct →
cache13–7-0.0332%10 Oct →
train13–100.0533%10 Oct →
nuke13–20.0835%10 Oct →
nuke6–13-0.0821%10 Oct →
anubis13–8-0.0231%10 Oct →
nuke5–13-0.0759%8 Oct →
dust23–130.0036%8 Oct →
nuke13–5-0.0953%8 Oct →
nuke13–30.0153%8 Oct →
nuke13–10.0858%8 Oct →
shelter6–130.0229%8 Oct →
cache10–13-0.0864%8 Oct →
nuke13–80.0541%6 Oct →
inferno7–13-0.0757%5 Oct →
ancient8–13-0.0746%5 Oct →
mirage10–13-0.0665%5 Oct →
anubis2–13-0.0843%5 Oct →
mirage3–13-0.0545%5 Oct →
nuke12–12-0.0630%5 Oct →
shelter13–110.0640%5 Oct →
shelter13–70.0737%5 Oct →
shelter13–90.0135%5 Oct →
nuke12–120.0538%4 Oct →
nuke6–130.0222%4 Oct →
inferno4–13-0.0943%4 Oct →
cache10–13-0.0519%2 Oct →
nuke13–10-0.0543%2 Oct →
inferno13–9-0.0235%2 Oct →
dust25–130.0457%2 Oct →
shelter11–13-0.0526%1 Oct →
mirage13–160.0356%1 Oct →
inferno13–20.0550%1 Oct →
shelter13–100.0036%1 Oct →
nuke13–8-0.0538%1 Oct →
shelter4–13-0.0226%1 Oct →
nuke8–11-0.0350%30 Sept →
dust22–13-0.0450%30 Sept →
mirage12–12-0.1123%30 Sept →
nuke11–13-0.0350%30 Sept →
cache12–120.0240%30 Sept →
nuke6–13-0.0250%30 Sept →
anubis3–13-0.0723%30 Sept →
ancient2–13-0.0241%30 Sept →
cache13–00.0728%30 Sept →
nuke10–13-0.0334%30 Sept →
anubis12–12-0.0147%29 Sept →
ancient7–130.0326%29 Sept →
vertigo13–110.0729%29 Sept →
nuke3–13-0.0533%29 Sept →
inferno12–12-0.0126%29 Sept →
cache12–120.0132%29 Sept →
mirage12–120.0530%29 Sept →
nuke13–110.0226%29 Sept →
cache2–13-0.0717%29 Sept →
dust213–8-0.0125%29 Sept →
anubis7–13-0.0136%29 Sept →
nuke9–130.0128%29 Sept →
nuke12–120.0331%29 Sept →
nuke13–2-0.0441%29 Sept →
vertigo8–30.0573%27 Sept →
dust27–13-0.0738%26 Sept →
vertigo4–13-0.0348%26 Sept →
vertigo4–130.0343%26 Sept →
cache11–130.0334%26 Sept →
cache13–70.0044%26 Sept →
vertigo3–130.0330%26 Sept →
dust21–13-0.0067%26 Sept →
nuke2–13-0.08100%26 Sept →
dust20–70.000%26 Sept →
nuke5–12-0.0540%26 Sept →
dust211–13-0.0623%26 Sept →
dust213–11-0.0867%25 Sept →
nuke5–13-0.0831%25 Sept →
nuke12–12-0.0620%25 Sept →
nuke13–100.0547%25 Sept →
nuke13–10-0.0975%25 Sept →
mirage7–13-0.1061%25 Sept →
inferno9–130.0578%25 Sept →
mirage4–13-0.0656%24 Sept →
nuke5–13-0.0369%24 Sept →
nuke13–10-0.0760%24 Sept →
nuke13–8-0.0415%24 Sept →
nuke9–50.0922%24 Sept →
nuke6–9-0.090%24 Sept →
nuke9–13-0.0846%23 Sept →
nuke13–8-0.0340%23 Sept →
dust28–13-0.0930%23 Sept →
ancient13–7-0.0530%23 Sept →
cache5–13-0.0943%23 Sept →
nuke6–13-0.0232%23 Sept →
mirage13–5-0.0333%22 Sept →
inferno13–60.0428%22 Sept →
anubis13–80.0031%22 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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