Gentle Wife Beater

Gentle Wife Beater — CS2 Stats

US76561198062089617[U:1:101823889]Steam profile ↗✓ No bans

2,758Tracked matches65%Win rate2020Tracked since
CSDB Rating6.0 SolidPositional Player
Premier CS Rating21,833Top 50% of 175,286 CSDB-tracked playersPink band · top ~6.5% of ranked players (population est.)
CSDB Leaderboard#51129 of 221134 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Sep 2026 (5 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 29 days played since 12 Aug 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 21,833 +5,008 15 Aug12 Sept · 17 days played
16,82521,833peak 21,83315 Aug12 Sept
21,833Peak Premier in tracked matches
29Days played since 2026-08-12

Premier CS Rating

  • At peak — 21,833
  • +5,008 over 30 days · improving
  • Next: Red band at 25,000 3,167 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-02
  • Purple band first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGGentle Wife BeaterFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER21,833 · Pink bandcsdb.gg/stats

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Performance scores

Aim69
Positioning58
Utility41

0–100 skill scores via Leetify.

Recent form

COLD61327Last 10061%Win rateLTWWLLTLWL

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +2.3pp headshot accuracy · +6ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 221 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 452ms

Last 10

  • 352 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 542ms

Last 20

  • 983 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 539ms

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 PlayerPositioning stands above the rest of this profile (+1.5 against its own average).

Aim6.9
Utility4.1
Positioning5.8
Opening Duels2.2
Clutch5.0

Limited 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

NiKo

Plays most like NiKo 86% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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.

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

Aim6.9
Positioning5.8
Utility4.1
Mechanics6.0
Opening Duels1.7
Win Impact10.0

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time547ms−6ms
first ⅓ avg 553ms → last ⅓ avg 547ms
Headshot accuracy15.8%−1.8%
first ⅓ avg 17.6% → last ⅓ avg 15.8%

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

0.16Best match rating · 13–10 · inferno, 26 Aug
67%Best headshot accuracy · 3–0 · nuke, 6 Sept
375msFastest reaction time · 13–2 · dust2, 19 Aug
13–1Biggest win · ancient, 6 Sept

Across the last 100 tracked matches.

Highlights

10Longest win streak
47In matches decided by ≤2 rounds
1Overtime games

Map breakdown

mirageBest map · 87% over 15ancientWeakest map · 50% over 12
MapGradePlayedRecordWin rateAvg rating
dust2A30191163%0.01
mirageS1513287%0.01
ancientB126650%0.00
infernoB126650%0.02
nukeB105550%0.01
anubisA95456%-0.01
cache43175%-0.00
vertigo42250%-0.00
office21150%-0.04
train21150%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (50% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

199Matches
55%Win rate
1.15Avg K/D
90.6ADR
41%Headshot %

Clutches & streaks

45%1v1 clutch win
16%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust21479%1.3119.3
Mirage650%1.2719.8
Inferno425%1.0817.5
Anubis333%0.8514.3
Ancient10%0.8214.0
Train1100%1.4320.0

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.

15.7%Headshot accuracy
33.3%Accuracy (enemy spotted)
34.3%Spray accuracy
76.8%Counter-strafing
8.1°Preaim
542msReaction time
27.5%T opening success
43.8%CT opening success
0.48Enemies flashed / flash
5.6%Flash assists
9.66HE damage / grenade
4.38Flashes / 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 0.4844 — 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 27.5367% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
anubis7–13-0.0126%16 Sept
ancient12–12-0.0019%16 Sept
inferno13–90.0215%16 Sept
anubis13–8-0.0417%14 Sept
ancient6–13-0.0913%14 Sept
inferno11–130.0318%14 Sept
dust212–12-0.0210%14 Sept
dust26–130.0714%14 Sept
inferno13–100.0113%12 Sept
dust25–13-0.0524%11 Sept
cache7–13-0.0417%11 Sept
ancient12–12-0.0126%11 Sept
mirage11–13-0.029%11 Sept
dust213–6-0.0416%10 Sept
anubis13–90.0117%10 Sept
dust213–9-0.0116%10 Sept
cache13–7-0.039%10 Sept
dust29–13-0.0610%9 Sept
dust213–20.1013%9 Sept
mirage13–11-0.0613%9 Sept
inferno6–13-0.0618%9 Sept
ancient13–30.0418%8 Sept
nuke13–50.0817%8 Sept
mirage13–20.0821%8 Sept
anubis13–20.0419%8 Sept
dust212–12-0.0315%8 Sept
dust213–90.0216%8 Sept
cache13–50.0510%8 Sept
dust213–8-0.048%7 Sept
dust213–60.0419%6 Sept
dust210–13-0.0720%6 Sept
dust211–130.0714%6 Sept
dust213–4-0.0412%6 Sept
ancient13–10.1619%6 Sept
nuke3–00.0667%6 Sept
nuke4–13-0.0319%1 Sept
ancient13–11-0.0323%31 Aug
anubis11–13-0.0310%31 Aug
nuke13–5-0.0229%31 Aug
dust213–90.0435%30 Aug
dust210–130.1623%30 Aug
nuke13–4-0.0016%29 Aug
ancient10–130.0221%28 Aug
nuke10–13-0.0513%27 Aug
dust213–7-0.0315%26 Aug
inferno13–100.1619%26 Aug
dust213–80.0214%26 Aug
dust24–13-0.0520%26 Aug
ancient13–10-0.0312%26 Aug
mirage13–6-0.0814%26 Aug
dust213–50.0615%26 Aug
cache13–1-0.0021%25 Aug
anubis13–50.0414%25 Aug
anubis13–8-0.019%25 Aug
ancient13–9-0.0412%25 Aug
vertigo13–2-0.069%24 Aug
mirage13–30.0331%24 Aug
inferno13–30.0620%24 Aug
office10–13-0.0712%24 Aug
anubis11–13-0.0510%24 Aug
nuke13–50.0510%24 Aug
mirage13–7-0.0017%24 Aug
mirage16–130.0320%22 Aug
mirage13–100.0418%22 Aug
inferno13–30.0420%22 Aug
dust213–2-0.0213%22 Aug
dust213–110.0119%22 Aug
dust213–10-0.0224%22 Aug
inferno12–120.0021%21 Aug
mirage13–80.0715%21 Aug
nuke9–13-0.0325%21 Aug
ancient6–13-0.0120%21 Aug
vertigo13–30.0310%21 Aug
dust213–110.1214%21 Aug
nuke5–130.0417%20 Aug
inferno12–120.0414%19 Aug
vertigo4–13-0.0426%19 Aug
dust213–20.0110%19 Aug
nuke7–13-0.0229%19 Aug
mirage13–30.0014%18 Aug
mirage13–3-0.0018%18 Aug
dust213–50.0917%18 Aug
dust213–40.0724%17 Aug
dust213–90.0517%17 Aug
mirage13–100.0019%17 Aug
office13–4-0.0216%16 Aug
inferno13–3-0.0624%16 Aug
mirage12–12-0.0111%16 Aug
mirage13–50.0714%16 Aug
inferno10–13-0.079%16 Aug
ancient5–13-0.0522%15 Aug
ancient13–20.0612%15 Aug
dust26–13-0.065%15 Aug
train11–13-0.0629%15 Aug
train13–60.0826%15 Aug
dust28–13-0.0116%14 Aug
inferno11–130.0219%14 Aug
mirage13–30.0119%13 Aug
vertigo8–130.0517%13 Aug
anubis8–13-0.028%12 Aug

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →