devine

devine — CS2 Stats

AU76561197961071162[U:1:805434]Steam profile ↗✓ No bans

2,349Tracked matches47%Win rate2020Tracked since
CSDB Rating4.1 DevelopingSupport
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,349 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,449 +1,812 21 Aug – 5 Dec · 5 days played
17,73020,898peak 20,89821 Aug5 Dec
21,016Peak Premier in tracked matches
1,697Highest Faceit ELO seen on CSDB
73Days played since 2024-08-21

Faceit ELO

  • At peak — 1,697
  • Next: Level 9 at 1,751 — 54 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-19
  • Level 7 first seen 2026-09-19

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.

Share this profile

CSDB.GGdevinePEAK ELO1,697csdb.gg/stats

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Performance scores

Aim51
Positioning36
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY50–50Last 10050%Win rateLWWWWLLWLL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · +6.1pp headshot accuracy · −47ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 586ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 599ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 623ms

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 (+2.9 against its own average).

Aim5.1
Utility6.1
Positioning3.6
Opening Duels0.5
Clutch2.6

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

Twistzz

Plays most like Twistzz 76% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 35% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 613ms 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

Aim5.1
Positioning3.6
Utility6.1
Mechanics5.0
Opening Duels0.6
Win Impact3.9

Composite 4.1/10 (Developing), 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 rating-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time614ms+15ms
first ⅓ avg 599ms → last ⅓ avg 614ms
Headshot accuracy14.9%−0.2%
first ⅓ avg 15.1% → last ⅓ avg 14.9%

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

0.09Best match rating · 9–3 · inferno, 21 Oct →
35%Best headshot accuracy · 6–13 · inferno, 10 Mar →
406msFastest reaction time · 13–10 · inferno, 7 May →
13–1Biggest win · dust2, 31 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–11In matches decided by ≤2 rounds
15Overtime games

Map breakdown

overpassBest map · 70% over 10nukeWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C2911–1838%-0.01
infernoS2315–865%0.00
ancientC135–838%-0.02
nukeC114–736%-0.02
overpassS107–370%0.00
anubisS64–267%-0.01
trainA53–260%-0.02
cache—10–10%-0.02
assembly—10–10%0.02
mirage—11–0100%0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,190Matches
50%Win rate
1.02Avg K/D
80.2ADR
37%Headshot %

Clutches & streaks

33%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust29453%1.0015.6
Inferno9358%0.9615.4
Nuke5147%0.8213.8
Ancient4134%0.9414.9
Anubis3033%0.7813.0
Overpass1850%0.7813.0
Mirage1436%0.8813.4
Train1040%0.8813.3

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.

15.1%Headshot accuracy
33.2%Accuracy (enemy spotted)
33.6%Spray accuracy
72.3%Counter-strafing
10.4°Preaim
613msReaction time
15.9%T opening success
34.8%CT opening success
0.59Enemies flashed / flash
5.3%Flash assists
10.38HE damage / grenade
13.84Flashes / 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

    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 15.9356% — below the 40% mark we flag

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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0321%27 Aug →
inferno13–110.0210%31 Jul →
dust213–1-0.0311%31 Jul →
nuke13–50.047%23 Jul →
dust213–70.0124%23 Jul →
cache7–13-0.0224%28 May →
dust213–16-0.0022%22 May →
inferno13–70.0318%10 May →
dust220–22-0.0019%1 May →
nuke6–13-0.0417%7 Apr →
overpass4–13-0.0314%2 Apr →
train13–30.0111%2 Apr →
nuke14–16-0.048%1 Mar →
nuke14–16-0.057%20 Feb →
dust26–13-0.1012%18 Feb →
overpass13–40.0316%18 Feb →
anubis19–15-0.0110%7 Feb →
dust24–13-0.0615%17 Jan →
train3–13-0.0913%5 Dec →
dust210–13-0.038%29 Nov →
inferno13–30.0011%29 Nov →
overpass7–13-0.0716%29 Nov →
nuke13–9-0.0727%26 Nov →
dust211–1-0.0114%26 Nov →
ancient9–13-0.104%25 Nov →
inferno13–10-0.0620%25 Nov →
overpass13–8-0.0316%24 Nov →
nuke10–13-0.0218%24 Nov →
ancient13–10-0.0220%24 Nov →
inferno6–130.0313%20 Nov →
dust28–130.0013%18 Nov →
overpass13–70.0117%18 Nov →
inferno13–7-0.0312%17 Nov →
dust25–13-0.085%17 Nov →
dust214–16-0.016%10 Nov →
ancient9–130.0023%7 Nov →
dust211–13-0.0231%7 Nov →
ancient11–130.0017%5 Nov →
dust213–100.0220%5 Nov →
dust210–13-0.0211%28 Oct →
inferno13–10-0.0014%23 Oct →
ancient13–5-0.0013%23 Oct →
overpass12–16-0.0315%19 Oct →
dust213–90.0215%19 Oct →
dust216–13-0.0317%16 Oct →
inferno10–13-0.0013%16 Oct →
inferno11–13-0.0522%6 Sept →
overpass13–110.0213%3 Sept →
dust25–13-0.0416%12 Aug →
overpass13–70.0420%12 Aug →
dust213–9-0.0219%31 Jul →
overpass13–8-0.0121%29 Jul →
ancient7–130.0115%9 Jul →
inferno13–9-0.0210%8 Jul →
ancient4–13-0.0317%7 Jul →
dust28–13-0.0715%6 Jul →
ancient10–13-0.0314%23 Jun →
dust213–50.0615%12 Jun →
dust28–130.0210%7 Jun →
inferno7–13-0.029%5 Jun →
anubis13–16-0.0314%4 Jun →
nuke10–13-0.064%16 May →
train13–10.0211%8 May →
inferno13–100.0411%7 May →
dust213–20.0924%7 May →
nuke9–130.0717%4 May →
anubis13–11-0.063%4 May →
dust23–130.0017%25 Apr →
anubis13–40.0210%20 Apr →
dust28–13-0.047%20 Apr →
ancient11–13-0.0610%17 Apr →
inferno19–15-0.0215%17 Apr →
dust213–110.0320%15 Apr →
ancient13–80.0516%15 Apr →
inferno13–80.0917%1 Apr →
inferno10–13-0.0116%26 Mar →
nuke19–17-0.0313%24 Mar →
inferno6–13-0.0435%10 Mar →
anubis13–60.0311%23 Feb →
dust25–13-0.0323%15 Feb →
ancient8–130.039%15 Feb →
dust210–130.026%7 Feb →
ancient13–100.0118%6 Feb →
nuke13–11-0.018%6 Feb →
inferno13–110.0516%23 Jan →
dust213–60.0613%9 Jan →
overpass13–80.0915%6 Dec →
train13–10-0.0510%25 Nov →
nuke9–13-0.0414%25 Nov →
inferno14–16-0.0310%24 Nov →
inferno13–5-0.0113%15 Nov →
train14–16-0.0110%15 Nov →
anubis10–130.0112%9 Nov →
inferno9–30.0921%21 Oct →
assembly4–50.0227%27 Sept →
inferno13–110.0226%16 Sept →
inferno13–100.0114%30 Aug →
mirage16–140.0313%27 Aug →
inferno12–16-0.0322%24 Aug →
ancient13–3-0.0911%21 Aug →

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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