sPo0o

sPo0o — CS2 Stats

76561198035093641[U:1:74827913]Steam profile ↗✓ No bans

1,702Tracked matches63%Win rate2021Tracked since
CSDB Rating5.2 DevelopingSupport
FaceitLevel 5 · 1,273 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGsPo0oFACEITLevel 5 · 1,273 ELOSTANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim65
Positioning44
Utility72

0–100 skill scores via Leetify.

Recent form

STEADY53–47Last 10053%Win rateWWWLLWLWLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −7.2pp headshot accuracy · −1ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 483ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 527ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 527ms

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 (+3.9 against its own average).

Aim6.5
Utility7.2
Positioning4.4
Opening Duels0.0
Clutch1.8

Effective flashes

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

ZywOo

Plays most like ZywOo 66% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim 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

CT openings. Opening success drops from 43% on T to 22% on CT — first contacts on the defending side are being lost.

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

Aim6.5
Positioning4.4
Utility7.2
Mechanics5.3
Opening Duels1.7
Win Impact9.4

Composite 5.2/10 (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-0.01+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time540ms−48ms
first ⅓ avg 588ms → last ⅓ avg 540ms
Headshot accuracy20.3%+0.5%
first ⅓ avg 19.9% → last ⅓ avg 20.3%

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

0.07Best match rating · 11–13 · anubis, 14 Aug →
38%Best headshot accuracy · 6–13 · dust2, 4 Jul →
391msFastest reaction time · 16–14 · ancient, 18 Oct →
13–1Biggest win · inferno, 25 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W3Current streak
12–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 77% over 13dust2Weakest map · 28% over 18
MapGradePlayedRecordWin rateAvg rating
anubisA2514–1156%-0.01
infernoB199–1047%-0.01
dust2D185–1328%-0.04
nukeA149–564%-0.02
ancientS1310–377%-0.01
mirageS75–271%-0.00
cache—41–325%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

839Matches
53%Win rate
1.02Avg K/D
66.7ADR
40%Headshot %

Clutches & streaks

29%1v1 clutch win
15%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient13765%0.9714.2
Inferno12956%0.9612.7
Anubis10755%1.0714.4
Nuke8546%0.8913.4
Mirage6841%0.9112.9
Dust23234%0.7411.0
Overpass2846%0.9113.0
Train650%0.8714.3

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.

19.7%Headshot accuracy
33.2%Accuracy (enemy spotted)
34.4%Spray accuracy
74.0%Counter-strafing
10.9°Preaim
535msReaction time
43.3%T opening success
22.2%CT opening success
0.70Enemies flashed / flash
11.3%Flash assists
10.72HE damage / grenade
16.49Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 22.1781% — 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.

28% win rate across 18 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
ancient13–100.0219%1 Nov →
anubis13–8-0.083%1 Nov →
nuke13–10-0.0511%1 Nov →
inferno18–22-0.0415%31 Oct →
anubis7–13-0.0214%31 Oct →
anubis13–8-0.0621%31 Oct →
inferno8–13-0.0224%26 Oct →
anubis13–20.0412%26 Oct →
anubis7–130.0120%26 Oct →
nuke9–13-0.0719%25 Oct →
cache7–130.0231%25 Oct →
anubis13–70.0122%25 Oct →
nuke13–8-0.0026%20 Oct →
anubis13–6-0.0133%20 Oct →
ancient16–14-0.0014%18 Oct →
mirage13–9-0.0122%18 Oct →
anubis4–13-0.0527%18 Oct →
inferno10–13-0.0119%16 Oct →
ancient13–4-0.0519%16 Oct →
anubis4–13-0.0615%16 Oct →
mirage8–13-0.0529%16 Oct →
nuke16–140.0016%11 Oct →
nuke13–100.0433%11 Oct →
mirage13–11-0.0111%9 Oct →
ancient13–20.0417%4 Oct →
inferno13–2-0.0026%4 Oct →
inferno2–13-0.0713%30 Sept →
dust213–3-0.0126%27 Sept →
inferno13–7-0.0525%27 Sept →
mirage13–110.0519%27 Sept →
mirage13–90.0021%23 Sept →
mirage13–80.0314%23 Sept →
cache13–10-0.0136%20 Sept →
ancient13–100.0721%20 Sept →
ancient13–8-0.0613%20 Sept →
cache4–13-0.0426%17 Sept →
dust28–13-0.0414%17 Sept →
cache1–13-0.0720%17 Sept →
dust27–13-0.0519%13 Sept →
inferno13–100.0419%13 Sept →
anubis13–100.0225%8 Sept →
anubis13–70.0716%8 Sept →
nuke16–14-0.0415%8 Sept →
anubis9–13-0.0616%6 Sept →
ancient4–13-0.0715%6 Sept →
inferno11–130.0113%3 Sept →
dust210–13-0.0523%3 Sept →
anubis13–11-0.0112%3 Sept →
ancient13–11-0.026%30 Aug →
ancient8–13-0.0111%30 Aug →
nuke10–13-0.0523%25 Aug →
inferno13–1-0.0322%25 Aug →
anubis13–30.0014%25 Aug →
nuke19–17-0.0223%23 Aug →
dust214–16-0.0222%23 Aug →
dust29–13-0.0514%18 Aug →
nuke8–13-0.0812%18 Aug →
anubis13–80.0425%15 Aug →
inferno13–60.0414%15 Aug →
anubis13–40.0730%15 Aug →
nuke13–30.0117%15 Aug →
inferno11–130.0120%15 Aug →
dust28–13-0.0226%15 Aug →
inferno10–13-0.0515%14 Aug →
anubis2–13-0.0733%14 Aug →
dust21–13-0.098%14 Aug →
ancient10–13-0.0014%14 Aug →
inferno10–130.0218%14 Aug →
anubis11–130.0713%14 Aug →
inferno16–130.0023%14 Aug →
anubis4–13-0.0714%14 Aug →
nuke3–13-0.0332%14 Aug →
inferno9–13-0.0012%11 Aug →
dust21–13-0.1017%11 Aug →
nuke16–120.0218%11 Aug →
inferno13–30.0714%11 Aug →
anubis13–70.0415%9 Aug →
dust213–7-0.0611%9 Aug →
anubis11–13-0.0410%9 Aug →
inferno13–9-0.0216%4 Aug →
anubis19–150.0128%4 Aug →
dust210–13-0.0531%2 Aug →
nuke4–13-0.0429%2 Aug →
dust24–13-0.0717%2 Aug →
ancient13–11-0.0017%28 Jul →
dust213–11-0.0138%28 Jul →
anubis13–10-0.0310%28 Jul →
dust213–4-0.0119%26 Jul →
nuke13–10-0.0323%26 Jul →
dust29–13-0.0624%26 Jul →
ancient13–11-0.0419%26 Jul →
anubis11–13-0.0327%16 Jul →
dust213–60.017%16 Jul →
dust214–160.0127%16 Jul →
dust26–13-0.0238%4 Jul →
mirage14–16-0.0420%4 Jul →
inferno14–16-0.0614%30 Jun →
anubis7–13-0.0121%30 Jun →
inferno19–17-0.0314%30 Jun →
ancient13–6-0.0419%28 Jun →

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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