no way jose

no way jose — CS2 Stats

76561197997826817[U:1:37561089]Steam profile ↗✓ No bans

661Tracked matches53%Win rate2024Tracked since
CSDB Rating5.9 SolidSupport
Premier CS Rating14,828Blue band · top ~29.3% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,828 +4,194 5 Jul – 27 Oct · 17 days played
10,63414,898peak 14,8985 Jul27 Oct
14,999Peak Premier in tracked matches
32Days played since 2026-07-05

Premier CS Rating

  • 70 below peak (14,898)
  • +1,107 over 30 days · improving
  • Next: Purple band at 15,000 — 172 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGno way joseFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER14,828 · Blue bandcsdb.gg/stats

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Performance scores

Aim65
Positioning59
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY54–41–5Last 10054%Win rateWLWLLLLWLW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +3.3pp headshot accuracy · +6ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 623ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 559ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 556ms

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 (+0.9 against its own average).

Aim6.5
Utility6.1
Positioning5.9
Opening Duels4.9
Clutch3.8

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

m0NESY

Plays most like m0NESY 83% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim6.5
Positioning5.9
Utility6.1
Mechanics6.6
Opening Duels6.0
Win Impact6.1

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg 0.00
Reaction time544ms−14ms
first ⅓ avg 558ms → last ⅓ avg 544ms
Headshot accuracy12.8%−3.5%
first ⅓ avg 16.3% → last ⅓ avg 12.8%

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

0.13Best match rating · 13–7 · nuke, 1 Sept →
28%Best headshot accuracy · 3–13 · cache, 29 Aug →
406msFastest reaction time · 13–8 · inferno, 13 Oct →
13–1Biggest win · mirage, 9 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 67% over 9cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA3118–1358%0.01
anubisA169–756%0.02
ancientB158–753%0.02
infernoB136–746%0.02
dust2A106–460%0.01
nukeS96–367%0.05
cacheD51–420%0.02
train—10–10%0.01

Across the last 100 tracked matches.

Faceit stats

Combat

49Matches
55%Win rate
1.20Avg K/D
81.1ADR
39%Headshot %

Clutches & streaks

39%1v1 clutch win
28%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1958%1.1314.5
Dust21346%0.8813.2
Nuke560%1.0814.0
Ancient540%1.4514.6
Inferno560%1.4917.8
Overpass1100%1.7521.0

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.

12.5%Headshot accuracy
32.9%Accuracy (enemy spotted)
36.9%Spray accuracy
79.8%Counter-strafing
9.8°Preaim
536msReaction time
54.0%T opening success
54.4%CT opening success
0.57Enemies flashed / flash
5.6%Flash assists
8.40HE damage / grenade
17.88Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.467% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Cache

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage13–110.049%31 Oct →
ancient8–13-0.0510%31 Oct →
mirage13–5-0.0211%27 Oct →
ancient7–13-0.0522%27 Oct →
ancient7–13-0.0819%27 Oct →
dust210–130.0316%27 Oct →
anubis10–130.018%26 Oct →
inferno13–10-0.0112%26 Oct →
nuke7–13-0.0020%26 Oct →
dust213–90.0318%26 Oct →
anubis13–40.0311%16 Oct →
ancient2–13-0.073%14 Oct →
cache9–130.0113%14 Oct →
mirage16–120.0613%14 Oct →
cache13–9-0.025%13 Oct →
mirage10–13-0.0311%13 Oct →
inferno13–80.0816%13 Oct →
nuke12–16-0.0210%12 Oct →
inferno13–6-0.114%12 Oct →
dust24–13-0.0926%12 Oct →
inferno13–80.0015%12 Oct →
anubis6–130.0313%12 Oct →
ancient13–110.0113%12 Oct →
mirage13–11-0.0110%12 Oct →
mirage13–60.109%8 Oct →
cache5–13-0.0216%8 Oct →
ancient13–8-0.028%8 Oct →
dust213–70.0615%8 Oct →
nuke13–70.037%8 Oct →
ancient9–130.0613%8 Oct →
anubis13–110.0313%5 Oct →
ancient16–130.0820%5 Oct →
mirage14–16-0.0313%2 Oct →
nuke13–90.0018%2 Oct →
anubis13–60.0214%28 Sept →
mirage13–110.0213%28 Sept →
mirage13–60.0111%23 Sept →
dust26–13-0.0224%23 Sept →
mirage11–130.0021%23 Sept →
ancient7–00.1312%23 Sept →
anubis13–80.0515%23 Sept →
nuke14–160.0420%23 Sept →
mirage13–50.0113%16 Sept →
anubis13–9-0.0021%16 Sept →
mirage13–9-0.0014%15 Sept →
dust213–4-0.0215%15 Sept →
dust213–50.0419%11 Sept →
anubis8–13-0.0115%11 Sept →
mirage8–130.0310%10 Sept →
cache13–160.0718%5 Sept →
ancient13–40.0412%5 Sept →
mirage7–13-0.0012%5 Sept →
mirage15–15-0.0711%5 Sept →
mirage13–160.008%5 Sept →
anubis13–7-0.0613%5 Sept →
mirage13–110.0812%4 Sept →
anubis13–100.0113%4 Sept →
dust213–100.0718%4 Sept →
inferno13–100.0423%4 Sept →
mirage11–13-0.077%4 Sept →
ancient13–110.0916%4 Sept →
inferno5–130.0915%2 Sept →
anubis12–120.0518%2 Sept →
ancient0–11-0.003%2 Sept →
mirage13–30.0720%2 Sept →
inferno7–130.0411%2 Sept →
nuke13–70.1319%1 Sept →
ancient13–60.0711%1 Sept →
nuke13–20.0918%30 Aug →
train11–130.0115%30 Aug →
anubis5–130.0516%30 Aug →
mirage2–130.0427%30 Aug →
ancient13–60.0311%29 Aug →
cache3–130.0428%29 Aug →
inferno12–10.0515%29 Aug →
mirage13–80.0211%29 Aug →
ancient10–130.0118%29 Aug →
nuke13–70.1023%29 Aug →
inferno5–130.0421%28 Aug →
mirage13–8-0.0211%28 Aug →
anubis8–130.0118%28 Aug →
anubis13–110.017%27 Aug →
dust213–2-0.0123%27 Aug →
mirage13–40.0116%26 Aug →
inferno12–120.0114%25 Aug →
mirage13–10-0.0216%25 Aug →
inferno9–130.0415%21 Aug →
mirage13–40.0918%21 Aug →
mirage12–120.0419%28 Jul →
mirage13–50.048%15 Jul →
nuke13–40.1220%15 Jul →
inferno9–130.0112%15 Jul →
dust27–13-0.0320%15 Jul →
anubis13–50.0617%10 Jul →
mirage11–13-0.0418%10 Jul →
anubis8–130.0615%10 Jul →
mirage9–13-0.0715%9 Jul →
mirage8–130.0113%9 Jul →
mirage13–10.0413%9 Jul →
inferno15–15-0.0113%5 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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