All Eyez On Me

All Eyez On Me — CS2 Stats

FI76561199417696110[U:1:1457430382]Steam profile ↗VAC banned

472Tracked matches32%Win rate2023Tracked since
522Hours in CS80Hrs last 2 wks
CSDB Rating2.8 LearningPositional Player
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanSilver Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=6,128), 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 2 medianLevel 3 medianvs Level 3
Headshot rate52.5%41.3%41.8%above
Shot accuracy5.6%12.7%12.2%6.5% short
Kill/death ratio1.090.950.98above
Match win rate48.6%42.6%43.3%above

This profile matches the typical Level 3 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAll Eyez On MeFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim38
Positioning33
Utility14

0–100 skill scores via Leetify.

Recent form

STEADY33–56–11Last 10033%Win rateWTLLLWLWWL

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · −0.5pp headshot accuracy · −34ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 19%
  • Avg reaction 623ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 645ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 662ms

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 (+1.5 against its own average).

Aim3.8
Utility1.4
Positioning3.3
Opening Duels0.0
Clutch2.6

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

b1t

Plays most like b1t 88% playstyle similarity

Most alike: positioning profile, utility contribution.

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

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

Reaction time. 628ms 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

Aim3.8
Positioning3.3
Utility1.4
Mechanics4.9
Opening Duels0.3
Win Impact0.0

Composite 2.8/10 (Learning), 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 rating-0.03+0.02
first ⅓ avg -0.05 → last ⅓ avg -0.03
Reaction time654ms+49ms
first ⅓ avg 605ms → last ⅓ avg 654ms
Headshot accuracy15.9%−0.8%
first ⅓ avg 16.7% → last ⅓ avg 15.9%

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

0.23Best match rating · 9–1 · nuke, 11 Oct →
50%Best headshot accuracy · 4–9 · inferno, 14 Oct →
438msFastest reaction time · 1–9 · inferno, 19 Oct →
13–0Biggest win · dust2, 17 Oct →

Across the last 100 tracked matches.

Highlights

3Longest win streak
9–11In matches decided by ≤2 rounds
1Overtime games

Map breakdown

vertigoBest map · 60% over 5mirageWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoC3514–2140%-0.04
poseidonD132–1115%-0.06
overpassD122–1017%-0.08
nukeA116–555%-0.00
mirageD50–50%-0.04
debrisC52–340%-0.08
vertigoA53–260%0.03
anubis—41–325%-0.07
dust2—32–167%-0.03
train—20–20%-0.05
office—20–20%-0.07
eldorado—20–20%-0.06
ancient—11–0100%-0.10

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 5). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,616Lifetime kills
1.09K/D · Top 25% of Level 2 players
814Matches
48.6%Match win rate · Top 25% of Level 2 players
52.5%Headshot % · Top 10% of Level 2 players
5.6%Shot accuracy
3,565MVPs
269Hours (in match)
812Bombs planted
488Bombs defused

Most-used weapons

Lifetime map wins

1,283inferno
863nuke
778dust2
552vertigo
72office
51train
24italy
19cbble

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

Faceit stats

Combat

46Matches
35%Win rate
0.67Avg K/D
60.8ADR
42%Headshot %

Clutches & streaks

33%1v1 clutch win
12%1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1225%0.669.9
Ancient714%0.7513.1
Anubis650%0.579.0
Dust2617%0.548.7
Inferno425%0.7011.5
Nuke450%0.7410.5
Vertigo475%0.8111.5
Cache367%0.6510.7

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.

15.5%Headshot accuracy
28.5%Accuracy (enemy spotted)
27.0%Spray accuracy
72.2%Counter-strafing
10.3°Preaim
628msReaction time
32.4%T opening success
21.3%CT opening success
0.15Enemies flashed / flash
0.0%Flash assists
7.48HE damage / grenade
1.08Flashes / 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 0.1531 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 32.3862% — 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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
poseidon9–4-0.0133%4 Nov →
inferno8–80.0421%4 Nov →
inferno6–9-0.2215%4 Nov →
mirage10–13-0.0317%4 Nov →
mirage1–13-0.058%4 Nov →
nuke13–80.0212%4 Nov →
poseidon7–9-0.0714%4 Nov →
inferno9–00.1222%4 Nov →
inferno9–7-0.043%4 Nov →
nuke5–13-0.0519%4 Nov →
nuke13–80.0614%4 Nov →
overpass2–13-0.0236%4 Nov →
inferno9–70.0329%4 Nov →
nuke9–50.0520%4 Nov →
inferno3–9-0.220%4 Nov →
mirage11–13-0.059%4 Nov →
mirage8–13-0.0314%4 Nov →
nuke7–9-0.2319%4 Nov →
inferno4–9-0.0424%4 Nov →
poseidon4–9-0.226%4 Nov →
anubis2–13-0.037%3 Nov →
ancient13–3-0.100%3 Nov →
train5–13-0.0524%3 Nov →
debris9–10.0316%3 Nov →
poseidon8–80.0221%3 Nov →
inferno9–30.0317%3 Nov →
overpass8–8-0.0520%3 Nov →
nuke9–50.0310%3 Nov →
vertigo13–6-0.0614%3 Nov →
nuke13–50.0219%3 Nov →
mirage6–13-0.0411%3 Nov →
inferno9–70.0015%3 Nov →
inferno6–90.0517%2 Nov →
vertigo7–9-0.0118%2 Nov →
nuke8–8-0.0518%2 Nov →
inferno8–80.1018%2 Nov →
inferno9–40.1928%2 Nov →
anubis3–13-0.110%2 Nov →
debris3–9-0.195%2 Nov →
overpass7–9-0.140%2 Nov →
inferno6–9-0.123%2 Nov →
poseidon3–9-0.1415%2 Nov →
poseidon7–9-0.096%2 Nov →
poseidon9–50.0215%1 Nov →
office12–12-0.0620%1 Nov →
poseidon8–8-0.1110%1 Nov →
poseidon6–9-0.0418%1 Nov →
poseidon5–9-0.1522%1 Nov →
overpass7–9-0.1214%1 Nov →
inferno9–70.0528%1 Nov →
debris4–9-0.1822%1 Nov →
overpass5–5-0.050%1 Nov →
vertigo5–9-0.0133%1 Nov →
nuke7–9-0.0924%1 Nov →
eldorado8–8-0.0911%1 Nov →
poseidon6–90.0711%1 Nov →
inferno5–9-0.169%1 Nov →
inferno9–30.1014%1 Nov →
inferno9–10.1133%24 Oct →
overpass4–9-0.2113%24 Oct →
anubis11–13-0.0811%24 Oct →
overpass9–10.129%23 Oct →
poseidon8–80.0818%23 Oct →
inferno4–9-0.0815%23 Oct →
inferno9–30.1240%23 Oct →
poseidon4–9-0.1015%23 Oct →
eldorado5–9-0.0218%23 Oct →
debris6–9-0.0923%23 Oct →
overpass7–90.0527%23 Oct →
inferno4–9-0.158%23 Oct →
nuke6–90.0021%23 Oct →
office5–13-0.0745%23 Oct →
dust213–8-0.043%20 Oct →
overpass1–7-0.2510%19 Oct →
inferno9–70.119%19 Oct →
inferno1–9-0.0518%19 Oct →
inferno1–9-0.2220%19 Oct →
inferno3–9-0.077%18 Oct →
inferno4–9-0.075%18 Oct →
train11–8-0.0524%17 Oct →
dust213–00.0318%17 Oct →
inferno1–9-0.136%17 Oct →
overpass8–8-0.140%16 Oct →
inferno2–9-0.120%16 Oct →
inferno9–20.1331%16 Oct →
inferno2–9-0.150%15 Oct →
inferno5–9-0.1413%15 Oct →
anubis13–9-0.0713%15 Oct →
overpass1–9-0.200%14 Oct →
inferno1–9-0.1733%14 Oct →
inferno4–9-0.0350%14 Oct →
inferno9–7-0.046%14 Oct →
vertigo9–60.1821%13 Oct →
dust214–16-0.0912%12 Oct →
debris9–70.0419%11 Oct →
vertigo9–70.0723%11 Oct →
nuke9–10.2340%11 Oct →
overpass8–80.0516%11 Oct →
inferno9–4-0.018%11 Oct →
inferno2–9-0.2022%11 Oct →

Match data via Leetify.

Recent teammates

Milestones

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

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