Skylar Vox

Skylar Vox — CS2 Stats

76561198764339363[U:1:804073635]Steam profile ↗✓ No bans

84Tracked matches52%Win rate2025Tracked since
CSDB Rating5.3 DevelopingOpening Duellist
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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Performance scores

Aim62
Positioning63
Utility19

0–100 skill scores via Leetify.

Recent form

STEADY46353Last 8455%Win rateLWTWWLWLLL

Last 10 vs previous 10: −10pp win rate · −0.05 avg rating · +2.0pp headshot accuracy · −11ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 311 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 648ms

Last 10

  • 451 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 612ms

Last 20

  • 9101 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 617ms

Newest first, from the last 84 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Opening DuellistWinning opening duels is what stands out in this profile (+1.7 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim6.2
Utility1.9
Positioning6.3
Opening Duels6.7

Limited utility dependence

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

donk

Plays most like donk 74% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Strengths

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 612ms 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

Aim6.2
Positioning6.3
Utility1.9
Mechanics5.2
Opening Duels6.0
Win Impact5.6

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.03
first ⅓ avg 0.01 → last ⅓ avg 0.04
Reaction time617ms−17ms
first ⅓ avg 633ms → last ⅓ avg 617ms
Headshot accuracy16.7%−6.4%
first ⅓ avg 23.2% → last ⅓ avg 16.7%

Rolling 5-match average across the last 84 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.23Best match rating · 13–2 · nuke, 21 Dec
100%Best headshot accuracy · 13–0 · overpass, 14 Dec
422msFastest reaction time · 1–13 · inferno, 30 Nov
13–0Biggest win · nuke, 23 Dec

Across the last 84 tracked matches.

Highlights

11Longest win streak
28In matches decided by ≤2 rounds
3Overtime games

Map breakdown

overpassBest map · 100% over 5ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA169756%0.04
dust2B158753%0.05
infernoA117464%0.02
vertigoC104640%0.00
nukeC94544%0.08
ancientD61517%0.04
trainS54180%0.04
overpassS550100%0.02
anubis42250%0.04
office21150%0.02
rooftop110100%0.08

Across the last 84 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

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

16.6%Headshot accuracy
35.3%Accuracy (enemy spotted)
38.1%Spray accuracy
73.2%Counter-strafing
9.9°Preaim
612msReaction time
47.8%T opening success
60.5%CT opening success
0.40Enemies flashed / flash
9.1%Flash assists
7.71HE damage / grenade
0.98Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Ancient

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis9–130.0212%24 Dec
inferno13–9-0.0117%24 Dec
dust215–15-0.0324%23 Dec
nuke13–00.1220%23 Dec
train13–10-0.0019%23 Dec
ancient11–13-0.0014%23 Dec
inferno13–5-0.0415%23 Dec
ancient7–130.0319%23 Dec
nuke14–16-0.0211%23 Dec
mirage10–13-0.0629%23 Dec
train13–50.0512%23 Dec
mirage13–50.0623%22 Dec
mirage14–16-0.0624%22 Dec
dust213–90.0310%22 Dec
dust24–130.0714%22 Dec
nuke13–30.1721%22 Dec
nuke3–13-0.019%22 Dec
mirage8–130.0715%21 Dec
nuke5–130.0310%21 Dec
mirage13–40.0921%21 Dec
mirage13–30.1519%21 Dec
dust23–130.0416%21 Dec
nuke13–40.1114%21 Dec
mirage13–110.0126%21 Dec
inferno8–130.0312%21 Dec
ancient11–130.0416%21 Dec
dust23–80.0713%21 Dec
nuke13–20.2316%21 Dec
vertigo13–70.029%20 Dec
inferno13–20.1012%20 Dec
vertigo13–30.1215%20 Dec
ancient10–130.1218%20 Dec
mirage13–30.1421%20 Dec
inferno13–40.0617%20 Dec
mirage13–40.0818%20 Dec
dust20–6-0.0238%20 Dec
dust212–120.0924%20 Dec
inferno13–00.006%17 Dec
vertigo6–13-0.0127%17 Dec
mirage4–13-0.0631%17 Dec
mirage13–70.1818%16 Dec
nuke5–130.1028%14 Dec
dust213–40.1436%14 Dec
dust213–70.0426%14 Dec
mirage13–90.0117%14 Dec
train13–00.0025%14 Dec
inferno8–00.0614%14 Dec
mirage13–30.0939%14 Dec
overpass13–00.01100%14 Dec
dust213–20.0122%14 Dec
overpass13–00.16100%14 Dec
anubis13–00.0224%14 Dec
anubis13–00.2177%14 Dec
office11–13-0.0133%14 Dec
overpass6–10.035%14 Dec
ancient13–20.1211%14 Dec
dust213–20.0620%14 Dec
vertigo13–110.0337%13 Dec
dust213–100.1738%9 Dec
inferno6–13-0.0012%7 Dec
vertigo8–130.0437%7 Dec
train8–13-0.0324%7 Dec
anubis9–13-0.078%7 Dec
overpass9–6-0.053%4 Dec
rooftop9–30.0820%4 Dec
vertigo7–9-0.1123%4 Dec
vertigo7–9-0.0913%3 Dec
inferno9–60.0527%3 Dec
inferno1–13-0.0421%30 Nov
mirage2–130.0028%30 Nov
vertigo13–9-0.015%30 Nov
dust213–00.0225%30 Nov
mirage5–13-0.0322%30 Nov
dust29–130.0115%29 Nov
office13–60.0426%29 Nov
overpass12–7-0.063%29 Nov
dust213–30.0639%29 Nov
vertigo4–13-0.0218%29 Nov
inferno2–13-0.0317%29 Nov
mirage6–13-0.0043%29 Nov
ancient2–13-0.050%28 Nov
vertigo12–120.0616%28 Nov
train11–10.1980%28 Nov
nuke11–13-0.0228%28 Nov

Match data via Leetify.

Recent teammates

Milestones

11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →