divo

divo — CS2 Stats

KE76561198131616085[U:1:171350357]Steam profile ↗✓ No bans

2,025Tracked matches43%Win rate2020Tracked since
CSDB Rating4.1 DevelopingSupport
Premier CS Rating11,889Blue band · top ~44.9% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Aug 2026 (54 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: 11,889 +688 17 May – 8 Aug · 23 days played
11,20114,132peak 14,13217 May8 Aug
14,510Peak Premier in tracked matches
29Days played since 2026-05-17

Premier CS Rating

  • 2,243 below peak (14,132)
  • -971 over 30 days · declining
  • +688 over 90 days
  • Next: Purple band at 15,000 — 3,111 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.GGdivoFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER11,889 · Blue bandcsdb.gg/stats

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Performance scores

Aim41
Positioning49
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY45–48–7Last 10045%Win rateLLWLWWWWLL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −3.0pp headshot accuracy · +37ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 734ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 705ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 686ms

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 (+2.2 against its own average).

Aim4.1
Utility5.4
Positioning4.9
Opening Duels2.5
Clutch0.0

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 71% 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

Reaction time. 686ms 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

Aim4.1
Positioning4.9
Utility5.4
Mechanics6.1
Opening Duels1.1
Win Impact2.6

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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time672ms−15ms
first ⅓ avg 688ms → last ⅓ avg 672ms
Headshot accuracy11.8%−1.9%
first ⅓ avg 13.6% → last ⅓ avg 11.8%

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

0.10Best match rating · 13–4 · cache, 17 Jul →
25%Best headshot accuracy · 4–9 · nuke, 12 Jun →
484msFastest reaction time · 13–10 · ancient, 8 Jun →
13–2Biggest win · nuke, 17 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
4–7In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 58% over 19dust2Weakest map · 38% over 37
MapGradePlayedRecordWin rateAvg rating
dust2C3714–2338%0.00
ancientB2010–1050%-0.01
nukeA1911–858%-0.02
anubisB115–645%-0.02
cacheC52–340%0.01
inferno—42–250%0.01
mirage—21–150%-0.00
vertigo—10–10%-0.12
overpass—10–10%-0.15

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 37). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

34Matches
59%Win rate
0.94Avg K/D
72.0ADR
40%Headshot %

Clutches & streaks

0%1v1 clutch win
30%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust2667%0.8713.3
Anubis475%0.9213.0
Inferno367%0.8817.0
Ancient333%0.9214.0

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.

11.9%Headshot accuracy
34.9%Accuracy (enemy spotted)
38.2%Spray accuracy
77.6%Counter-strafing
13.0°Preaim
686msReaction time
29.9%T opening success
39.1%CT opening success
0.68Enemies flashed / flash
13.5%Flash assists
12.96HE damage / grenade
5.81Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.0409° — above the 12° mark we flag

    Aim Training →
  2. 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 11.8847% — below the 15% mark we flag

    Aim Training →
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.

38% win rate across 37 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
dust23–13-0.0512%8 Aug →
dust213–16-0.0210%8 Aug →
nuke13–9-0.075%8 Aug →
ancient10–13-0.047%6 Aug →
dust213–90.0913%6 Aug →
mirage13–70.0215%6 Aug →
nuke13–100.058%6 Aug →
dust213–90.0110%5 Aug →
nuke4–13-0.059%5 Aug →
cache6–13-0.0214%5 Aug →
dust213–16-0.0218%5 Aug →
ancient13–90.0713%4 Aug →
cache5–13-0.0610%4 Aug →
anubis16–13-0.025%4 Aug →
dust213–60.0212%4 Aug →
dust23–130.0225%4 Aug →
nuke4–13-0.1118%4 Aug →
dust211–13-0.0912%4 Aug →
ancient6–13-0.077%4 Aug →
dust215–150.0114%3 Aug →
dust213–40.0714%3 Aug →
ancient13–7-0.0318%3 Aug →
anubis8–130.0011%3 Aug →
cache14–16-0.0417%3 Aug →
nuke13–11-0.029%31 Jul →
dust24–130.027%31 Jul →
ancient15–15-0.0110%20 Jul →
anubis13–9-0.0214%20 Jul →
dust211–13-0.049%20 Jul →
nuke14–16-0.0813%20 Jul →
ancient15–150.0516%19 Jul →
dust213–100.017%19 Jul →
ancient2–13-0.016%17 Jul →
dust213–6-0.0224%17 Jul →
cache13–40.1017%17 Jul →
nuke13–20.0514%17 Jul →
dust213–8-0.0615%17 Jul →
cache13–20.0813%16 Jul →
dust210–130.0719%16 Jul →
dust213–80.0720%16 Jul →
ancient16–140.0416%16 Jul →
dust213–8-0.014%15 Jul →
dust210–130.0113%13 Jul →
anubis6–130.006%13 Jul →
nuke13–90.0410%13 Jul →
dust24–130.0312%13 Jul →
anubis7–13-0.067%13 Jul →
mirage15–15-0.0314%11 Jul →
nuke10–13-0.0210%11 Jul →
ancient11–130.0216%2 Jul →
nuke7–13-0.0414%2 Jul →
dust29–13-0.055%2 Jul →
dust26–13-0.0421%28 Jun →
dust28–130.0414%27 Jun →
nuke11–13-0.0411%27 Jun →
anubis13–60.0113%27 Jun →
anubis16–130.0113%27 Jun →
nuke13–5-0.0419%14 Jun →
anubis7–13-0.068%14 Jun →
inferno8–80.0411%12 Jun →
vertigo5–9-0.120%12 Jun →
nuke4–9-0.0625%12 Jun →
overpass3–9-0.1512%12 Jun →
nuke9–5-0.0211%12 Jun →
inferno9–40.0611%12 Jun →
dust22–13-0.1013%9 Jun →
ancient13–8-0.0810%8 Jun →
dust26–130.0317%8 Jun →
ancient13–100.018%8 Jun →
dust215–15-0.0214%7 Jun →
ancient10–13-0.0019%7 Jun →
dust213–80.0413%7 Jun →
dust210–130.0010%29 May →
nuke13–7-0.059%29 May →
dust215–150.0113%29 May →
ancient13–80.0213%29 May →
inferno10–13-0.0721%25 May →
nuke13–70.0313%25 May →
dust214–16-0.0419%25 May →
dust28–13-0.0116%25 May →
dust213–20.013%24 May →
anubis9–13-0.0120%24 May →
dust213–80.0719%24 May →
nuke7–13-0.0111%24 May →
ancient13–8-0.0110%24 May →
ancient8–13-0.049%22 May →
dust27–130.0110%21 May →
dust210–13-0.0115%21 May →
anubis9–130.0011%21 May →
ancient9–130.0018%21 May →
ancient13–11-0.0310%19 May →
dust213–70.0122%19 May →
ancient3–13-0.0317%18 May →
nuke13–7-0.039%18 May →
inferno13–100.0211%18 May →
ancient13–5-0.019%18 May →
anubis13–10-0.0319%18 May →
dust213–30.009%18 May →
ancient16–140.0016%17 May →
nuke13–5-0.0014%17 May →

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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