Ado

Ado — CS2 Stats

76561198309673750[U:1:349408022]Steam profile ↗✓ No bans

421Tracked matches50%Win rate2024Tracked since
CSDB Rating5.7 SolidPositional Player
Premier CS Rating15,120Purple band · top ~27.9% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (10 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: 15,120 +5,266 11 Apr – 1 Oct · 13 days played
9,85415,120peak 15,12011 Apr1 Oct
15,120Peak Premier in tracked matches
59Days played since 2026-02-26

Premier CS Rating

  • At peak — 15,120
  • +2,272 over 30 days · improving
  • Next: Pink band at 20,000 — 4,880 to go
  • Reached: Purple band · 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.GGAdoFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER15,120 · Purple bandcsdb.gg/stats

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Performance scores

Aim68
Positioning59
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY50–43–7Last 10050%Win rateWLWWTLWWLW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +1.2pp headshot accuracy · +11ms 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 545ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 584ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 578ms

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 (+1.2 against its own average).

Aim6.8
Utility4.6
Positioning5.9
Opening Duels4.3
Clutch4.0

Strong T-side openerLimited 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

jL

Plays most like jL 94% 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. 590ms 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

Aim6.8
Positioning5.9
Utility4.6
Mechanics6.4
Opening Duels3.7
Win Impact5.0

Composite 5.7/10 (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 rating-0.01−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time588ms−74ms
first ⅓ avg 662ms → last ⅓ avg 588ms
Headshot accuracy13.8%−2.5%
first ⅓ avg 16.2% → last ⅓ avg 13.8%

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

0.14Best match rating · 13–4 · mirage, 1 Apr →
37%Best headshot accuracy · 9–6 · nuke, 2 Mar →
430msFastest reaction time · 3–13 · nuke, 22 Aug →
13–0Biggest win · dust2, 15 Mar →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–4In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 100% over 5nukeWeakest map · 28% over 18
MapGradePlayedRecordWin rateAvg rating
mirageA3118–1358%0.00
cacheB2211–1150%-0.00
nukeD185–1328%-0.02
dust2C145–936%-0.01
ancientA95–456%-0.02
anubisS55–0100%0.02
inferno—11–0100%0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

160Matches
51%Win rate
0.97Avg K/D
77.0ADR
41%Headshot %

Clutches & streaks

40%1v1 clutch win
17%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage5946%0.8915.3
Ancient2544%1.0015.1
Anubis2171%1.0816.2
Nuke1968%1.0314.6
Dust21828%0.9517.7
Inferno1362%1.0715.2
Train450%0.8810.8
Cache10%0.7512.0

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.

14.1%Headshot accuracy
35.6%Accuracy (enemy spotted)
37.3%Spray accuracy
78.8%Counter-strafing
9.0°Preaim
590msReaction time
50.2%T opening success
39.0%CT opening success
0.69Enemies flashed / flash
8.6%Flash assists
5.36HE damage / grenade
4.49Flashes / 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 14.148% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.0119% — 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.

28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust219–170.0114%10 Oct →
dust210–130.0120%2 Oct →
cache13–6-0.0610%1 Oct →
anubis13–100.0314%1 Oct →
nuke8–8-0.0312%1 Oct →
dust212–16-0.0019%30 Sept →
cache13–4-0.0411%29 Sept →
mirage13–100.0217%29 Sept →
cache7–13-0.0417%28 Sept →
mirage13–110.0416%28 Sept →
dust210–13-0.0621%27 Sept →
mirage13–9-0.024%27 Sept →
cache13–20.0720%27 Sept →
ancient10–30.016%26 Sept →
nuke13–8-0.018%25 Sept →
mirage13–50.0523%15 Sept →
mirage3–130.0015%10 Sept →
dust23–13-0.0216%10 Sept →
mirage8–13-0.0014%1 Sept →
nuke9–13-0.039%1 Sept →
mirage13–50.1311%1 Sept →
ancient8–13-0.0315%31 Aug →
nuke11–130.0110%31 Aug →
nuke0–3-0.0513%31 Aug →
cache4–12-0.0423%31 Aug →
nuke3–9-0.134%31 Aug →
dust24–13-0.059%23 Aug →
anubis13–30.0416%22 Aug →
nuke3–13-0.0516%22 Aug →
mirage13–40.0623%22 Aug →
cache3–13-0.0712%19 Aug →
mirage16–13-0.038%18 Aug →
dust25–13-0.0610%18 Aug →
mirage4–13-0.026%18 Aug →
nuke4–13-0.0619%16 Aug →
mirage4–13-0.0613%1 Aug →
nuke10–130.0110%1 Aug →
anubis13–8-0.0112%1 Aug →
ancient11–13-0.0614%1 Aug →
nuke4–9-0.079%1 Aug →
mirage13–9-0.0917%31 Jul →
ancient13–8-0.0815%30 Jul →
dust213–4-0.0321%30 Jul →
mirage9–13-0.0217%30 Jul →
nuke4–9-0.0410%12 Jul →
ancient13–8-0.0215%10 Jul →
mirage13–5-0.0413%8 Jul →
dust26–13-0.0613%21 Jun →
cache6–13-0.0117%13 Jun →
cache13–110.0114%12 Jun →
mirage6–13-0.0411%2 Jun →
nuke8–8-0.0527%1 Jun →
nuke9–4-0.085%1 Jun →
mirage12–120.0615%24 May →
cache3–90.027%23 May →
cache12–120.0117%18 May →
ancient5–13-0.084%16 May →
dust27–130.0216%16 May →
cache5–13-0.0415%15 May →
cache3–13-0.0415%14 May →
cache5–130.0225%14 May →
cache13–50.0513%13 May →
cache13–110.0711%9 May →
cache13–8-0.0115%8 May →
cache5–5-0.120%8 May →
cache13–100.0610%6 May →
cache13–20.1025%5 May →
cache12–12-0.0215%4 May →
cache13–10-0.0014%3 May →
cache6–130.0914%3 May →
ancient13–110.0315%22 Apr →
mirage11–13-0.0122%22 Apr →
dust215–15-0.0014%22 Apr →
mirage13–5-0.018%22 Apr →
mirage9–13-0.0815%16 Apr →
dust213–9-0.0625%13 Apr →
anubis13–70.0711%12 Apr →
ancient8–130.0021%11 Apr →
dust213–110.0720%11 Apr →
mirage13–10.0413%11 Apr →
mirage6–13-0.0821%11 Apr →
mirage13–4-0.0624%10 Apr →
mirage13–40.1412%1 Apr →
mirage13–110.0215%28 Mar →
mirage13–11-0.0210%26 Mar →
mirage13–3-0.0211%23 Mar →
dust213–00.118%15 Mar →
mirage12–120.0019%10 Mar →
mirage6–13-0.0410%8 Mar →
inferno13–110.0418%4 Mar →
mirage13–20.039%4 Mar →
anubis13–9-0.032%3 Mar →
nuke9–20.1019%3 Mar →
mirage2–130.0527%3 Mar →
mirage13–40.0317%2 Mar →
nuke9–60.1237%2 Mar →
nuke3–9-0.0327%2 Mar →
nuke9–1-0.0124%2 Mar →
ancient13–90.0110%2 Mar →
nuke14–16-0.028%26 Feb →

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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