Ambi妻

Ambi妻 — CS2 Stats

JP76561199036543217[U:1:1076277489]Steam profile ↗✓ No bans

435Tracked matches36%Win rate2023Tracked since
293Hours in CS
CSDB Rating3.8 Learning
Premier CS Rating13,448Blue band · top ~36.6% of ranked players (population est.)
CSDB Leaderboard#23729 of 35885 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate49.1%41.7%44.1%above
Shot accuracy0.5%8.8%11.4%11.0% short
Kill/death ratio1.030.971.03meets
Match win rate43.9%43.8%45.2%1.3% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGAmbi妻PREMIER13,448 · Blue bandcsdb.gg/stats

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Performance scores

Aim56
Positioning48
Utility29

0–100 skill scores via Leetify.

Recent form

COLD41518Last 10041%Win rateLLLLLWTWWL

Last 10 vs previous 10: -10pp win rate · -0.11 avg rating

Player DNA

Aim5.6
Aggression5.9
Utility2.9
Positioning4.8
Opening Duels1.5

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 80% playstyle similarity

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

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 47% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 653ms 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

Aim5.6
Positioning4.8
Utility2.9
Mechanics4.7
Opening Duels2.1
Win Impact0.2

Composite 3.8/10 (Learning), 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 rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time660ms−23ms
first ⅓ avg 683ms → last ⅓ avg 660ms
Headshot accuracy22.2%+2.9%
first ⅓ avg 19.4% → last ⅓ avg 22.2%

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

0.28Best rating — poseidon 9–3
132Biggest win — dust2
5Longest win streak
L5Current streak
78In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 67% over 6vertigoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
nukeC2691735%0.01
poseidonC1971237%0.00
cacheB136746%-0.00
dust2C83538%-0.02
infernoS64267%0.00
mirageD62433%-0.01
vertigoD51420%-0.04
ancient42250%-0.03
train43175%0.03
overpass43175%-0.02
office31233%0.08
anubis2020%0.00

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,363Lifetime kills
1.03K/D · Top 50% of Blue band
1,092Matches
43.9%Match win rate · Top 50% of Blue band
49.1%Headshot % · Top 25% of Blue band
0.5%Shot accuracy
2,994MVPs
293Hours (in match)
756Bombs planted
173Bombs defused

Most-used weapons

Lifetime map wins

1,786inferno
1,440nuke
1,112dust2
623vertigo
240train
58office
12italy
5cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

21.4%Headshot accuracy
32.8%Accuracy (enemy spotted)
36.9%Spray accuracy
71.1%Counter-strafing
10.7°Preaim
653msReaction time
25.0%T opening success
46.7%CT opening success
0.38Enemies flashed / flash
3.9%Flash assists
4.73HE damage / grenade
5.61Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3802 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 24.9568% — below the 40% mark we flag

Spend your practice time on Vertigo

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 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke6–9-0.0922%15 Aug
vertigo1–9-0.2514%3 Jul
dust211–13-0.0310%3 Jul
cache7–130.0135%2 Jul
nuke2–9-0.1010%1 Jul
cache13–11-0.0415%30 Jun
ancient15–150.0225%28 Jun
inferno13–11-0.0415%27 Jun
train13–40.1136%23 Jun
nuke7–9-0.1633%18 Jun
vertigo12–120.1035%3 Jun
poseidon1–7-0.320%28 May
nuke8–80.0619%28 May
nuke9–70.1122%27 May
poseidon9–20.1222%23 May
poseidon9–50.2228%22 May
inferno9–40.1823%21 May
dust26–13-0.0229%16 May
office2–130.1033%15 May
nuke0–13-0.0130%15 May
dust23–130.0131%15 May
cache2–13-0.0118%15 May
overpass2–13-0.0817%14 May
office13–40.1124%13 May
office6–130.0215%13 May
poseidon8–8-0.0216%12 May
poseidon4–9-0.0812%12 May
nuke7–9-0.0222%12 May
poseidon9–60.2017%12 May
poseidon2–9-0.0235%12 May
poseidon5–9-0.0316%12 May
nuke4–90.0323%12 May
overpass12–5-0.0432%9 May
ancient13–90.018%9 May
dust27–13-0.0519%8 May
mirage6–13-0.0516%8 May
inferno3–13-0.0924%8 May
nuke7–13-0.066%8 May
overpass13–60.0119%8 May
mirage2–13-0.0524%8 May
mirage4–13-0.0117%8 May
poseidon9–10.0926%7 May
nuke8–8-0.0026%7 May
poseidon1–9-0.218%7 May
nuke9–50.0919%7 May
nuke1–9-0.1910%7 May
poseidon4–9-0.0421%7 May
cache8–130.0420%6 May
inferno11–130.0613%5 May
nuke13–5-0.0433%5 May
train13–5-0.0330%5 May
dust29–13-0.0516%5 May
inferno13–10-0.0713%5 May
vertigo13–40.0425%5 May
cache10–13-0.0513%4 May
vertigo5–130.0016%4 May
dust213–2-0.0219%4 May
poseidon9–70.1525%3 May
nuke9–30.1815%3 May
cache12–12-0.0312%2 May
nuke8–8-0.0217%1 May
nuke9–30.216%1 May
cache13–60.0125%1 May
cache13–70.0119%1 May
cache13–30.0923%30 Apr
cache13–80.0715%30 Apr
cache2–13-0.0419%30 Apr
cache10–13-0.0928%30 Apr
nuke4–9-0.0324%29 Apr
cache13–70.0213%29 Apr
poseidon6–9-0.0429%28 Apr
overpass13–90.0219%28 Apr
ancient7–13-0.1020%28 Apr
poseidon7–9-0.0513%26 Apr
nuke9–10.2129%26 Apr
poseidon6–9-0.0718%26 Apr
nuke7–9-0.0817%26 Apr
train13–60.0414%26 Apr
dust213–60.0120%26 Apr
nuke7–9-0.0019%26 Apr
vertigo7–9-0.077%26 Apr
mirage12–120.0417%25 Apr
anubis7–13-0.0024%25 Apr
anubis7–130.0118%24 Apr
nuke9–70.0724%24 Apr
poseidon5–9-0.1023%24 Apr
ancient13–3-0.0418%24 Apr
dust213–11-0.0321%24 Apr
mirage13–50.0113%23 Apr
poseidon9–70.1014%23 Apr
poseidon9–30.2820%23 Apr
nuke6–9-0.0310%23 Apr
nuke5–9-0.0811%23 Apr
inferno13–6-0.0426%23 Apr
poseidon5–9-0.113%22 Apr
nuke2–9-0.1030%22 Apr
train7–13-0.0035%22 Apr
nuke9–50.1125%22 Apr
mirage13–10-0.0017%21 Apr
nuke9–30.1517%20 Apr

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 →