Stray

Stray — CS2 Stats

NO76561198199038634[U:1:238772906]Steam profile ↗✓ No bans

2,744Tracked matches67%Win rate2020Tracked since
4,663Hours in CS
CSDB Rating6.7 SolidSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (29 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,297 → 2,297
+18Tracked matches · now 2,744
+20.0ppWin rate · 46.7% → 66.7%

Rating over time

Premier CS Rating: 24,893 -5,218 3 Jan – 8 Jun · 6 days played
24,72130,111peak 30,1113 Jan8 Jun
Faceit ELO: 2,297 +0 17 Sept – 18 Sept · 2 observations
2,2972,297peak 2,29717 Sept18 Sept
30,111Peak Premier in tracked matches
2,297Highest Faceit ELO seen on CSDB
32Days played since 2025-12-30

Faceit ELO

  • At peak — 2,297
  • Next: 2,500 ELO at 2,500 — 203 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-17
  • Level 9 first seen 2026-09-17

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches20——
Win rate70%——
K/D1.31——
Headshot %41%——

Measured 17 Sep 2026 → 17 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Share this profile

CSDB.GGStrayPEAK ELO2,297csdb.gg/stats

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Performance scores

Aim69
Positioning64
Utility64

0–100 skill scores via Leetify.

Recent form

HOT58–42Last 10058%Win rateWWLWWWLWWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +2.0pp headshot accuracy · −41ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 14%
  • Avg reaction 520ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 16%
  • Avg reaction 524ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 545ms

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 (+1.3 against its own average).

Aim6.9
Utility6.4
Positioning6.4
Opening Duels5.3
Clutch2.2

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

jL

Plays most like jL 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

Aim6.9
Positioning6.4
Utility6.4
Mechanics5.5
Opening Duels6.0
Win Impact10.0

Composite 6.7/10 (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 rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time555ms+4ms
first ⅓ avg 551ms → last ⅓ avg 555ms
Headshot accuracy17.1%−2.5%
first ⅓ avg 19.6% → last ⅓ avg 17.1%

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 · 13–2 · overpass, 3 Jan →
49%Best headshot accuracy · 13–4 · dust2, 9 Apr →
375msFastest reaction time · 13–4 · dust2, 15 Oct →
13–1Biggest win · mirage, 13 Jan →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
8–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 67% over 9nukeWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A2818–1064%0.03
infernoB2311–1248%0.02
ancientA1911–858%0.03
mirageS96–367%0.02
nukeC73–443%0.04
cacheS64–267%0.03
anubis—43–175%0.05
overpass—32–167%0.06
train—10–10%0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

221,653Lifetime kills
1.13K/D · Top 50% of tracked players
8,499Matches
50.6%Match win rate · Top 25% of tracked players
42.7%Headshot %
14.9%Shot accuracy · Top 50% of tracked players
25,707MVPs
4,663Hours (in match)
10,692Bombs planted
3,315Bombs defused

Most-used weapons

AK-4772,596
AWP17,154
P2509,595
SG 5534,922
Knife4,879
AUG4,311

Lifetime map wins

28,832dust2
23,641inferno
3,362nuke
3,269train
1,484cbble
824vertigo
20sugarcane
13lake

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

Faceit stats

Combat

3,513Matches
51%Win rate
1.17Avg K/D
84.3ADR
38%Headshot %

Clutches & streaks

31%1v1 clutch win
22%1v2 clutch win
14Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust28556%1.3316.9
Ancient5841%1.0716.7
Inferno5855%1.4517.6
Anubis5153%1.1415.4
Mirage3855%1.2817.5
Nuke1759%1.2516.5
Overpass850%1.0714.6
Cache2100%1.5021.0

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.

16.6%Headshot accuracy
33.9%Accuracy (enemy spotted)
35.0%Spray accuracy
74.6%Counter-strafing
8.5°Preaim
550msReaction time
52.4%T opening success
55.9%CT opening success
0.54Enemies flashed / flash
6.8%Flash assists
8.23HE damage / grenade
11.10Flashes / match

Recommended for you

Spend your practice time on Nuke

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–10-0.0116%15 Oct →
dust213–40.0520%15 Oct →
dust29–13-0.0113%15 Oct →
ancient13–80.057%12 Oct →
inferno13–50.1114%12 Oct →
cache13–90.0515%12 Oct →
inferno4–13-0.0310%8 Oct →
cache13–110.0419%8 Oct →
dust213–100.0622%7 Oct →
nuke13–90.1020%7 Oct →
ancient13–70.0611%27 Sept →
inferno13–90.0113%27 Sept →
dust213–9-0.035%27 Sept →
nuke6–130.0115%27 Sept →
cache6–13-0.0216%27 Sept →
inferno13–7-0.049%27 Sept →
cache13–30.1111%24 Jul →
dust210–130.0121%24 Jul →
ancient13–70.0215%24 Jul →
cache13–60.0620%23 Jun →
inferno4–13-0.0331%8 Jun →
ancient13–110.0623%8 Jun →
inferno13–60.0618%8 Jun →
ancient13–9-0.0510%21 May →
dust213–20.0124%21 May →
cache12–16-0.0513%6 May →
inferno11–130.0221%21 Apr →
dust213–30.1121%21 Apr →
dust29–13-0.0124%16 Apr →
dust29–130.0123%16 Apr →
inferno6–13-0.0624%11 Apr →
mirage13–90.0522%11 Apr →
dust214–160.0319%11 Apr →
inferno7–130.0221%9 Apr →
nuke7–130.0125%9 Apr →
dust213–40.0849%9 Apr →
ancient13–70.1516%9 Apr →
inferno23–250.0217%8 Apr →
anubis5–13-0.0223%8 Apr →
anubis16–140.0521%1 Apr →
dust211–13-0.0222%1 Apr →
ancient7–13-0.0315%29 Mar →
inferno9–13-0.0213%29 Mar →
dust213–60.1123%29 Mar →
dust213–8-0.0119%29 Mar →
ancient14–160.0118%29 Mar →
dust26–130.0039%21 Mar →
ancient9–130.0313%21 Mar →
mirage3–13-0.0119%21 Mar →
dust213–90.0815%21 Mar →
dust213–40.0914%21 Mar →
ancient13–160.0523%21 Mar →
inferno16–140.0815%20 Mar →
anubis13–110.0617%20 Mar →
ancient13–60.0927%20 Mar →
ancient9–130.0414%10 Feb →
mirage13–110.0814%8 Feb →
inferno13–80.0129%6 Feb →
dust213–50.0420%6 Feb →
overpass13–30.0825%6 Feb →
dust210–130.0221%31 Jan →
mirage13–90.1226%31 Jan →
nuke8–130.0527%31 Jan →
dust219–170.0326%29 Jan →
ancient13–6-0.0017%29 Jan →
dust213–100.0526%29 Jan →
inferno13–20.0919%29 Jan →
dust213–90.0126%28 Jan →
mirage1–13-0.0945%28 Jan →
nuke16–120.0710%26 Jan →
ancient8–130.029%26 Jan →
ancient16–130.0318%23 Jan →
inferno13–8-0.0119%23 Jan →
anubis13–60.117%23 Jan →
inferno13–30.1120%23 Jan →
dust213–70.0629%13 Jan →
inferno9–130.0026%13 Jan →
train11–130.0035%13 Jan →
nuke4–130.0220%13 Jan →
inferno6–130.0729%13 Jan →
inferno8–130.0115%13 Jan →
ancient2–13-0.0812%13 Jan →
mirage14–16-0.0223%13 Jan →
mirage13–10.019%13 Jan →
mirage13–5-0.0213%13 Jan →
dust26–13-0.0435%10 Jan →
overpass7–13-0.058%10 Jan →
ancient11–130.0318%4 Jan →
inferno8–13-0.0210%4 Jan →
dust24–13-0.0313%4 Jan →
dust213–50.1113%3 Jan →
nuke13–11-0.0115%3 Jan →
inferno8–13-0.0028%3 Jan →
inferno13–60.0119%3 Jan →
ancient13–40.0914%3 Jan →
overpass13–20.1616%3 Jan →
inferno13–20.0420%30 Dec →
dust213–60.0415%30 Dec →
mirage13–30.0929%30 Dec →
dust213–9-0.0331%30 Dec →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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