AdamWithoutEve

AdamWithoutEve — CS2 Stats

76561198993942187[U:1:1033676459]Steam profile ↗✓ No bans

633Tracked matches61%Win rate2020Tracked since
CSDB Rating3.4 LearningClutch Specialist
Premier CS Rating18,413Purple band · top ~14.8% of ranked players (population est.)
CSDB Leaderboard#25412 of 54525 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GGAdamWithoutEveFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER18,413 · Purple bandcsdb.gg/stats

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Performance scores

Aim28
Positioning36
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY47494Last 10047%Win rateLTWTWLWLWW

Last 10 vs previous 10: -20pp win rate · +0.02 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim2.8
Aggression3.7
Utility3.4
Positioning3.6
Opening Duels0.3
Clutch10.0

Strong CT-side openerLimited utility dependenceReliable in 1v1s

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 67% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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 40% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 662ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 59% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.8
Positioning3.6
Utility3.4
Mechanics2.1
Opening Duels1.3
Win Impact8.6

Composite 3.4/10 (Learning), 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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time672ms+12ms
first ⅓ avg 661ms → last ⅓ avg 672ms
Headshot accuracy14.7%−1.4%
first ⅓ avg 16.1% → last ⅓ avg 14.7%

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

0.28Best rating — mirage 13–2
131Biggest win — inferno
8Longest win streak
37In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 67% over 9infernoWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
mirageC1971237%-0.02
ancientB189950%-0.03
dust2B136746%-0.04
nukeA117464%-0.00
infernoD102820%-0.03
anubisS96367%-0.01
cacheC73443%-0.04
overpass31233%-0.02
eldorado21150%-0.03
office21150%-0.05
train220100%-0.01
shelter1010%-0.11
debris110100%-0.09
poseidon1010%-0.13
vertigo110100%-0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

8Matches
25%Win rate
0.59Avg K/D
66.3ADR
48%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient20%0.548.0
Cache1100%1.3320.0
Vertigo10%0.466.0
Nuke10%0.538.0

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.

14.7%Headshot accuracy
31.2%Accuracy (enemy spotted)
33.3%Spray accuracy
59.4%Counter-strafing
11.9°Preaim
662msReaction time
21.8%T opening success
40.5%CT opening success
0.59Enemies flashed / flash
8.0%Flash assists
7.19HE damage / grenade
3.17Flashes / 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 14.6745% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.1706 — below the 4 mark we flag

    Grenade Lineups
  3. 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 21.8331% — below the 40% mark we flag

Spend your practice time on Inferno

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache3–13-0.0418%22 Aug
anubis12–12-0.0222%22 Aug
nuke13–40.0115%19 Aug
dust212–12-0.0024%16 Aug
mirage13–9-0.0113%16 Aug
mirage4–13-0.0216%6 Aug
mirage13–9-0.0516%5 Aug
ancient14–16-0.0618%5 Aug
ancient13–6-0.0122%5 Aug
dust213–5-0.019%3 Aug
nuke13–70.0620%3 Aug
ancient13–50.015%3 Aug
anubis13–7-0.110%3 Aug
ancient13–11-0.0113%3 Aug
dust213–11-0.077%3 Aug
dust213–6-0.0112%3 Aug
dust24–13-0.0614%2 Aug
mirage7–13-0.057%2 Aug
ancient13–6-0.0710%2 Aug
mirage14–16-0.0519%2 Aug
nuke13–9-0.0413%2 Aug
ancient13–40.0212%2 Aug
ancient16–14-0.0015%1 Aug
dust213–10-0.0411%1 Aug
nuke9–13-0.0114%27 Jul
eldorado6–9-0.0118%27 Jul
cache9–13-0.0113%26 Jul
cache11–13-0.0419%24 Jul
inferno13–10.0613%24 Jul
mirage6–13-0.0621%24 Jul
inferno7–13-0.0323%22 Jul
anubis16–120.0021%21 Jul
cache13–8-0.0112%21 Jul
inferno8–13-0.0714%21 Jul
mirage5–13-0.0227%21 Jul
anubis13–80.0220%21 Jul
mirage13–7-0.027%20 Jul
mirage7–130.0114%20 Jul
anubis6–13-0.0521%20 Jul
mirage6–13-0.0521%20 Jul
dust210–13-0.127%19 Jul
ancient7–13-0.0626%19 Jul
nuke9–130.0225%19 Jul
nuke13–40.0925%13 Jul
cache13–3-0.066%13 Jul
ancient10–13-0.0623%13 Jul
mirage13–5-0.027%12 Jul
ancient11–13-0.0619%11 Jul
shelter7–13-0.1115%11 Jul
office12–12-0.0722%11 Jul
eldorado9–1-0.059%11 Jul
debris9–5-0.0914%11 Jul
nuke6–9-0.0814%11 Jul
anubis13–90.0239%4 Jul
cache6–13-0.0824%4 Jul
inferno1–2-0.0825%4 Jul
ancient6–13-0.0620%4 Jul
train13–8-0.089%4 Jul
inferno8–13-0.0613%4 Jul
overpass9–13-0.0212%4 Jul
dust24–13-0.0814%4 Jul
inferno6–13-0.0721%2 Jul
mirage13–8-0.0413%2 Jul
cache13–10-0.0611%1 Jul
inferno6–13-0.0335%1 Jul
mirage3–13-0.0719%29 Jun
ancient13–1-0.0223%29 Jun
dust26–130.0320%29 Jun
dust213–7-0.0521%27 Jun
nuke5–13-0.1045%17 Jun
mirage11–13-0.0818%16 Jun
overpass1–13-0.0710%14 Jun
inferno13–90.0121%14 Jun
mirage13–20.2814%14 Jun
ancient13–90.0220%14 Jun
ancient6–13-0.0617%11 Jun
office13–4-0.0311%11 Jun
poseidon7–9-0.139%10 Jun
mirage13–7-0.0611%10 Jun
anubis3–13-0.0425%10 Jun
dust29–13-0.0520%10 Jun
dust213–90.0012%8 Jun
overpass13–90.0416%8 Jun
inferno9–13-0.0216%8 Jun
nuke13–50.088%7 Jun
nuke13–9-0.0516%7 Jun
anubis13–60.1120%2 Jun
ancient7–13-0.0717%2 Jun
train13–60.0520%2 Jun
vertigo9–3-0.1014%29 May
ancient13–160.0113%27 May
anubis13–80.0213%27 May
inferno13–16-0.0323%27 May
ancient9–13-0.0512%27 May
mirage9–13-0.1021%26 May
mirage12–120.0211%26 May
dust22–13-0.0512%26 May
nuke13–30.0210%25 May
ancient13–6-0.065%22 May
mirage7–130.0211%22 May

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →