SpyroxQ

SpyroxQ — CS2 Stats

76561198050223708[U:1:89957980]Steam profile ↗✓ No bans

1,951Tracked matches38%Win rate2021Tracked since
1,080Hours in CS
CSDB Rating5.3 DevelopingSupport
Ladder ranks via Leetify

Rating over time

1,429Highest Faceit ELO seen on CSDB
25Days played since 2026-04-01

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

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CSDB.GGSpyroxQPEAK ELO1,429csdb.gg/stats

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Performance scores

Aim85
Positioning42
Utility55

0–100 skill scores via Leetify.

Recent form

COLD49–47–4Last 10049%Win rateLWLLLLLLLW

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · +7.3pp headshot accuracy · −52ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 37%
  • Avg reaction 475ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 32%
  • Avg reaction 528ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 28%
  • Avg reaction 553ms

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 (+2.1 against its own average).

Aim8.5
Utility5.5
Positioning4.2
Opening Duels0.7
Clutch3.4

Sharp aimer

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

ropz

Plays most like ropz 81% 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 42 points — deaths here waste a strong aim profile.

Reaction time. 559ms 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

Aim8.5
Positioning4.2
Utility5.5
Mechanics6.0
Opening Duels1.0
Win Impact1.0

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 rating0.00+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time563ms−43ms
first ⅓ avg 606ms → last ⅓ avg 563ms
Headshot accuracy27.9%+2.4%
first ⅓ avg 25.5% → last ⅓ avg 27.9%

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

0.16Best match rating · 9–4 · vertigo, 24 Apr →
57%Best headshot accuracy · 2–9 · inferno, 3 Apr →
375msFastest reaction time · 3–13 · office, 3 Sept →
13–3Biggest win · cache, 4 Jun →

Across the last 100 tracked matches.

Highlights

9Longest win streak
6–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 73% over 15dust2Weakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
infernoC177–1041%-0.01
ancientS1511–473%0.01
dust2D123–925%0.00
mirageC104–640%-0.03
cacheA74–357%-0.02
officeD62–433%0.01
overpassS64–267%-0.01
vertigoA53–260%0.01
nukeA53–260%-0.06
shelter—43–175%0.05
boulder—42–250%0.03
train—20–20%0.00
fachwerk—20–20%0.02
warden—21–150%0.05
italy—11–0100%-0.02
anubis—10–10%-0.03
alpine—11–0100%0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,097Lifetime kills
1.15K/D · Top 25% of tracked players
3,084Matches
49.3%Match win rate · Top 25% of tracked players
57.7%Headshot % · Top 10% of tracked players
10.1%Shot accuracy
9,063MVPs
1,080Hours (in match)
2,643Bombs planted
757Bombs defused

Most-used weapons

Lifetime map wins

6,796inferno
3,473dust2
1,697vertigo
1,451nuke
1,449office
1,103train
435cbble
391italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

509Matches
50%Win rate
1.07Avg K/D
79.7ADR
52%Headshot %

Clutches & streaks

37%1v1 clutch win
26%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient6954%1.1316.3
Inferno5754%1.1317.0
Anubis4755%0.9915.0
Dust24749%1.0416.5
Mirage3037%0.9915.6
Nuke1547%1.1416.4
Overpass1450%1.1219.6
Cache367%1.0416.7

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.

27.2%Headshot accuracy
36.7%Accuracy (enemy spotted)
38.0%Spray accuracy
76.8%Counter-strafing
8.8°Preaim
559msReaction time
25.5%T opening success
38.2%CT opening success
0.52Enemies flashed / flash
7.2%Flash assists
6.08HE damage / grenade
10.68Flashes / 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 25.4988% — below the 40% mark we flag

Spend your practice time on Dust 2

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache5–130.0237%4 Sept →
inferno13–100.0232%4 Sept →
train10–130.0136%4 Sept →
office3–130.1050%3 Sept →
vertigo11–13-0.0428%3 Sept →
dust27–13-0.0332%2 Sept →
cache4–13-0.0018%2 Sept →
office11–13-0.0527%29 Aug →
vertigo10–13-0.0333%29 Aug →
italy13–6-0.0224%29 Aug →
shelter13–60.0929%28 Aug →
office10–13-0.0521%28 Aug →
boulder13–70.0528%28 Aug →
dust211–13-0.0523%25 Jul →
nuke13–10-0.0723%25 Jul →
shelter13–60.1328%24 Jul →
fachwerk1–13-0.079%24 Jul →
boulder13–5-0.0131%24 Jul →
ancient13–60.0521%24 Jul →
shelter10–130.0432%23 Jul →
boulder12–120.0528%23 Jul →
inferno6–9-0.0118%20 Jul →
vertigo6–2-0.0429%20 Jul →
inferno10–13-0.0118%20 Jul →
shelter13–9-0.0420%11 Jul →
boulder6–130.0237%11 Jul →
fachwerk5–130.1028%11 Jul →
train6–13-0.0025%4 Jul →
cache7–13-0.0917%4 Jul →
office1–130.0025%23 Jun →
cache13–6-0.0128%23 Jun →
warden9–130.0650%4 Jun →
vertigo13–5-0.0236%4 Jun →
anubis12–12-0.0320%4 Jun →
dust26–13-0.0221%4 Jun →
office7–20.1240%4 Jun →
cache13–3-0.1323%4 Jun →
cache13–50.0124%30 May →
overpass13–10-0.0431%30 May →
mirage7–130.0121%29 May →
ancient13–4-0.0515%29 May →
cache13–60.1128%29 May →
nuke7–9-0.1410%24 Apr →
inferno8–8-0.0313%24 Apr →
vertigo9–40.1625%24 Apr →
nuke6–13-0.0531%19 Apr →
mirage13–50.0318%19 Apr →
inferno13–30.0029%19 Apr →
dust213–70.1323%19 Apr →
nuke13–90.0428%18 Apr →
nuke13–5-0.0822%18 Apr →
overpass13–100.0227%18 Apr →
ancient13–80.0016%18 Apr →
inferno13–50.0628%17 Apr →
inferno13–10-0.0426%17 Apr →
dust25–13-0.0230%17 Apr →
inferno16–190.0224%17 Apr →
mirage13–9-0.0313%11 Apr →
ancient11–13-0.0225%11 Apr →
ancient6–130.0128%5 Apr →
ancient13–90.0928%5 Apr →
overpass16–14-0.0237%5 Apr →
dust218–22-0.0034%5 Apr →
mirage13–7-0.0525%5 Apr →
ancient13–100.0222%5 Apr →
overpass11–130.0418%5 Apr →
ancient16–120.0225%5 Apr →
dust216–140.0838%4 Apr →
ancient13–110.0933%4 Apr →
dust213–80.0126%4 Apr →
ancient13–50.0124%4 Apr →
overpass13–9-0.0315%4 Apr →
dust210–13-0.0319%4 Apr →
mirage13–4-0.0419%4 Apr →
inferno16–14-0.0241%4 Apr →
dust26–130.0024%4 Apr →
mirage11–13-0.0316%4 Apr →
overpass9–13-0.0134%4 Apr →
ancient13–11-0.0520%4 Apr →
inferno13–6-0.0529%4 Apr →
ancient9–13-0.0526%4 Apr →
inferno8–130.0428%4 Apr →
mirage7–13-0.065%4 Apr →
mirage9–13-0.0118%4 Apr →
mirage25–28-0.0220%4 Apr →
dust211–13-0.0228%3 Apr →
inferno10–130.0127%3 Apr →
ancient13–70.0430%3 Apr →
inferno2–9-0.1857%3 Apr →
dust23–13-0.0221%3 Apr →
office13–7-0.0620%2 Apr →
warden13–50.0429%2 Apr →
alpine13–110.0010%2 Apr →
mirage8–13-0.0729%2 Apr →
ancient11–13-0.0338%2 Apr →
ancient16–12-0.0420%2 Apr →
inferno5–9-0.1513%2 Apr →
inferno9–50.1437%2 Apr →
inferno8–80.0131%1 Apr →
inferno6–90.0515%1 Apr →

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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