✝adobe — CS2 Stats

76561198008701134[U:1:48435406]✓ No bans

1,004Tracked matches69%Win rate2020Tracked since
CSDB Rating6.3 SolidSupport
Premier CS Rating27,478Top 10% of 819 CSDB-tracked playersRed band · top ~1.8% of ranked players (population est.)
CSDB Leaderboard#684 of 19398 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GG✝adobeFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER27,478 · Red bandcsdb.gg/stats

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Performance scores

Aim68
Positioning41
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY72253Last 10072%Win rateLWWWWLWLWL

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim6.8
Aggression5.0
Utility7.1
Positioning4.1
Opening Duels1.4

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 88% playstyle similarity

Most alike: opening-fight frequency, 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 →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 44% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 554ms 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
Positioning4.1
Utility7.1
Mechanics6.1
Opening Duels1.7
Win Impact10.0

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time559ms−38ms
first ⅓ avg 597ms → last ⅓ avg 559ms
Headshot accuracy17.2%−0.7%
first ⅓ avg 17.9% → last ⅓ avg 17.2%

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.

Highlights

0.26Best rating — eldorado 9–0
130Biggest win — office
12Longest win streak
82In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 88% over 8mirageWeakest map · 50% over 14
MapGradePlayedRecordWin rateAvg rating
cacheS2219386%0.01
mirageB147750%-0.01
dust2B137654%-0.01
anubisS97278%-0.02
infernoA95456%-0.00
ancientS87188%-0.01
officeS65183%0.05
trainS65183%-0.01
nukeS64267%0.02
overpass1010%0.05
vertigo110100%0.02
italy110100%-0.04
debris110100%0.00
eldorado110100%0.26
fachwerk110100%0.02
boulder110100%0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (50% over 14). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

775Matches
77%Win rate
1.64Avg K/D
ADR
38%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
36Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis786%1.2112.1
Mirage580%0.829.6
Ancient580%0.7510.2
Nuke3100%1.4614.3
Vertigo3100%0.477.3
Overpass367%0.8311.0
Inferno3100%1.4513.3

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.

17.6%Headshot accuracy
33.0%Accuracy (enemy spotted)
37.1%Spray accuracy
77.4%Counter-strafing
9.6°Preaim
554msReaction time
27.7%T opening success
43.7%CT opening success
0.67Enemies flashed / flash
11.2%Flash assists
12.22HE damage / grenade
13.90Flashes / 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 27.6882% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.0510%24 Aug
office13–00.1017%24 Aug
anubis13–4-0.0629%24 Aug
ancient13–9-0.0325%24 Aug
ancient13–10.1025%24 Aug
mirage9–13-0.0327%24 Aug
cache13–10-0.0220%14 Aug
train9–130.0720%14 Aug
dust213–80.0017%14 Aug
inferno4–13-0.088%10 Aug
mirage13–2-0.068%10 Aug
nuke13–40.0819%10 Aug
overpass3–130.0514%10 Aug
nuke13–110.0533%10 Aug
anubis5–13-0.053%10 Aug
mirage13–8-0.0122%9 Aug
mirage5–13-0.0317%8 Aug
dust213–11-0.0314%8 Aug
train13–3-0.080%30 Jul
dust213–50.0524%30 Jul
dust21–7-0.0427%30 Jul
nuke13–10-0.0011%30 Jul
inferno13–50.0929%30 Jul
mirage12–12-0.0612%23 Jul
cache13–10.0311%23 Jul
dust213–10.0823%21 Jul
cache16–130.0215%21 Jul
anubis0–13-0.0418%21 Jul
inferno13–50.0011%14 Jul
vertigo13–60.0215%14 Jul
cache13–40.0511%14 Jul
cache5–13-0.0510%14 Jul
ancient13–110.0122%13 Jul
mirage13–11-0.0418%12 Jul
anubis13–11-0.0118%12 Jul
cache13–8-0.0312%12 Jul
mirage15–150.0217%10 Jul
mirage13–50.1222%10 Jul
nuke13–40.0226%10 Jul
italy13–10-0.0411%10 Jul
office13–40.0736%10 Jul
debris9–70.0017%10 Jul
eldorado9–00.2624%10 Jul
dust213–5-0.0013%9 Jul
cache13–90.0823%9 Jul
anubis13–4-0.0019%9 Jul
cache13–20.0913%9 Jul
fachwerk13–30.0210%9 Jul
boulder13–30.0411%9 Jul
inferno10–13-0.0218%9 Jul
nuke10–13-0.0315%9 Jul
cache13–10.1522%9 Jul
mirage10–13-0.0320%3 Jul
dust210–13-0.0818%28 Jun
office13–20.0333%28 Jun
train11–40.017%28 Jun
dust27–13-0.0423%21 Jun
office13–70.0723%21 Jun
mirage7–00.0710%21 Jun
office11–13-0.0213%21 Jun
nuke8–13-0.0130%21 Jun
anubis13–9-0.0110%9 Jun
mirage13–90.0224%1 Jun
cache13–11-0.0624%1 Jun
inferno13–80.0222%1 Jun
dust213–50.0130%1 Jun
train13–3-0.0421%31 May
cache13–20.0718%31 May
anubis13–80.0033%31 May
ancient10–13-0.056%24 May
dust211–130.0221%24 May
office13–50.0620%24 May
train13–2-0.0212%24 May
cache13–6-0.0326%24 May
ancient13–9-0.0220%24 May
dust213–6-0.0025%24 May
cache13–50.0821%24 May
cache2–7-0.0325%18 May
mirage13–16-0.0217%18 May
inferno13–100.0116%18 May
ancient13–6-0.0015%12 May
anubis8–20.0218%12 May
mirage13–7-0.0622%12 May
inferno13–30.0513%12 May
dust213–16-0.0524%12 May
ancient13–11-0.075%12 May
inferno0–5-0.0417%9 May
anubis13–9-0.0114%9 May
cache3–6-0.0813%9 May
cache13–7-0.0010%9 May
ancient13–70.0014%9 May
cache12–12-0.0218%9 May
cache13–70.0116%9 May
cache13–40.0628%9 May
train13–4-0.0224%9 May
inferno9–13-0.0722%7 May
cache13–3-0.0223%7 May
cache13–6-0.0118%7 May
cache13–50.0410%7 May
dust22–13-0.099%6 May

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →