SpoxoXOXO

SpoxoXOXO — CS2 Stats

SK76561199478005916[U:1:1517740188]Steam profile ↗✓ No bans

3,472Tracked matches43%Win rate2023Tracked since
3,052Hours in CS95Hrs last 2 wks
CSDB Rating6.5 SolidPositional Player
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,553), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate45.6%48.2%50.9%5.4% short
Shot accuracy8.4%13.2%13.7%5.3% short
Kill/death ratio1.021.071.090.07 short
Match win rate49.9%46.9%48.4%above

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSpoxoXOXOFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim91
Positioning69
Utility19

0–100 skill scores via Leetify.

Recent form

STEADY38–61–1Last 10038%Win rateWLLWLWLWWW

Last 10 vs previous 10: +30pp win rate · −0.02 avg rating · −2.3pp headshot accuracy · −76ms reaction

Win rate up 30pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 461ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 470ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 508ms

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: Positional Player — Positioning stands above the rest of this profile (+2.5 against its own average).

Aim9.1
Utility1.9
Positioning6.9
Opening Duels6.2
Clutch2.6

Sharp aimerLimited 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

s1mple

Plays most like s1mple 70% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; 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

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

CT openings. 62% 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.

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

Aim9.1
Positioning6.9
Utility1.9
Mechanics7.7
Opening Duels6.9
Win Impact2.8

Composite 6.5/10 (Solid), 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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time528ms−106ms
first ⅓ avg 634ms → last ⅓ avg 528ms
Headshot accuracy21.7%−3.9%
first ⅓ avg 25.6% → last ⅓ avg 21.7%

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

0.15Best match rating · 16–12 · mirage, 23 Oct →
62%Best headshot accuracy · 13–11 · dust2, 20 May →
406msFastest reaction time · 13–7 · dust2, 23 Oct →
13–3Biggest win · ancient, 11 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

dust2Best map · 83% over 6ancientWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB2411–1346%0.02
anubisC239–1439%-0.00
infernoD144–1029%-0.05
nukeC125–742%0.03
cacheD92–722%0.02
ancientD91–811%-0.04
dust2S65–183%-0.01
overpass—10–10%0.08
train—11–0100%-0.07
vertigo—10–10%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

64,139Lifetime kills
1.02K/D
2,795Matches
49.9%Match win rate · Top 25% of Level 9 players
45.6%Headshot %
8.4%Shot accuracy
8,387MVPs
1,385Hours (in match)
2,436Bombs planted
587Bombs defused

Most-used weapons

AK-4718,505
AWP18,131
Knife2,114
MP9622

Lifetime map wins

7,897inferno
2,394nuke
1,422vertigo
1,146office
1,129dust2
79train

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

Faceit stats

Combat

2,565Matches
50%Win rate
1.20Avg K/D
81.0ADR
44%Headshot %

Clutches & streaks

33%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage50048%1.1818.0
Anubis40254%1.2519.1
Inferno33351%1.2518.6
Nuke18047%1.2319.4
Ancient17242%1.0116.1
Vertigo9955%1.1518.1
Cache7560%1.1317.6
Dust25340%0.9515.3

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.

22.4%Headshot accuracy
39.0%Accuracy (enemy spotted)
35.7%Spray accuracy
84.7%Counter-strafing
6.1°Preaim
533msReaction time
53.2%T opening success
61.7%CT opening success
0.21Enemies flashed / flash
1.0%Flash assists
12.41HE damage / grenade
1.62Flashes / 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 0.2138 — 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.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–11-0.0313%12 Nov →
cache3–13-0.0123%12 Nov →
ancient13–16-0.0325%8 Nov →
mirage13–70.0223%8 Nov →
inferno8–13-0.0332%8 Nov →
anubis13–40.0116%8 Nov →
anubis4–13-0.0422%7 Nov →
anubis13–80.0326%6 Nov →
mirage13–40.0518%4 Nov →
inferno13–8-0.0113%3 Nov →
inferno13–60.0526%3 Nov →
anubis2–13-0.0225%29 Oct →
cache9–130.0219%28 Oct →
mirage16–120.1529%23 Oct →
anubis6–13-0.0219%23 Oct →
dust213–70.0131%23 Oct →
nuke11–13-0.0130%20 Oct →
mirage3–13-0.0324%19 Oct →
anubis13–160.016%19 Oct →
mirage3–130.0224%15 Oct →
cache14–160.0535%15 Oct →
anubis13–80.0336%14 Oct →
mirage13–80.0013%13 Oct →
mirage8–130.0619%11 Oct →
mirage29–310.0120%11 Oct →
anubis10–130.0119%11 Oct →
anubis13–11-0.0017%10 Oct →
mirage13–70.0225%20 Sept →
mirage11–130.0524%20 Sept →
ancient1–13-0.0725%20 Sept →
anubis11–13-0.0017%17 Sept →
nuke10–13-0.009%30 Aug →
anubis9–130.0115%10 Aug →
cache13–70.0139%9 Aug →
mirage16–130.0029%2 Aug →
nuke10–130.0128%31 Jul →
anubis9–13-0.0224%28 Jul →
mirage13–70.0832%26 Jul →
nuke11–130.0525%23 Jul →
cache6–130.0227%22 Jul →
mirage11–130.0416%20 Jul →
nuke5–130.0229%19 Jul →
anubis13–50.0121%18 Jul →
anubis13–90.0224%18 Jul →
nuke13–6-0.0216%18 Jul →
anubis13–9-0.0423%17 Jul →
anubis6–130.039%15 Jul →
mirage12–16-0.0226%14 Jul →
anubis22–190.0332%13 Jul →
anubis10–130.0317%10 Jul →
cache6–130.0238%10 Jul →
anubis9–13-0.0418%5 Jul →
ancient10–130.0129%4 Jul →
anubis13–16-0.0228%4 Jul →
ancient15–19-0.1025%3 Jul →
nuke13–5-0.0319%30 Jun →
nuke9–130.0048%16 Jun →
inferno5–9-0.0540%16 Jun →
nuke13–70.1132%15 Jun →
inferno6–13-0.0825%14 Jun →
cache6–13-0.0211%13 Jun →
inferno3–13-0.1021%12 Jun →
ancient13–3-0.0118%11 Jun →
inferno7–13-0.0527%10 Jun →
cache13–100.0330%5 Jun →
mirage13–110.0523%4 Jun →
mirage10–130.0134%4 Jun →
nuke19–170.0122%4 Jun →
mirage13–6-0.0021%1 Jun →
mirage13–60.0125%31 May →
anubis2–130.0121%30 May →
inferno13–16-0.0350%30 May →
inferno6–13-0.0132%29 May →
dust213–5-0.0422%26 May →
mirage8–130.0633%21 May →
overpass4–130.0824%21 May →
mirage13–110.0633%21 May →
dust22–13-0.0333%21 May →
ancient1–13-0.0613%20 May →
dust213–110.0162%20 May →
dust213–30.0257%20 May →
ancient7–13-0.0221%20 May →
cache9–130.0524%19 May →
ancient10–13-0.0324%17 May →
ancient10–13-0.0115%16 May →
inferno2–9-0.1833%16 May →
nuke9–60.1521%16 May →
inferno13–7-0.0031%13 May →
nuke11–130.0312%6 May →
mirage5–13-0.0320%6 May →
inferno1–9-0.227%3 May →
inferno8–80.0226%3 May →
mirage10–13-0.0622%2 Jul →
train13–11-0.0717%8 Jan →
anubis14–15-0.0124%8 Jan →
mirage7–13-0.0715%8 Jan →
vertigo7–130.0115%7 Jan →
inferno13–60.0027%5 Jan →
mirage5–13-0.0127%4 Jan →
dust213–7-0.0013%4 Jan →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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