WendyIsAGoodGirl — CS2 Stats

76561198131418474[U:1:171152746]

747Tracked matches48%Win rate2021Tracked since
2,462Hours in CS3Hrs last 2 wks
CSDB Rating4.2 Developing
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), 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 playerLevel 2 medianLevel 3 medianvs Level 3
Headshot rate40.6%42.1%42.1%1.5% short
Shot accuracy11.0%12.9%12.1%1.0% short
Kill/death ratio0.821.000.990.18 short
Match win rate41.7%42.9%43.9%2.2% short

This profile sits below the typical Level 3 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGWendyIsAGoodGirlFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim44
Positioning34
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY45469Last 10045%Win rateLLWWLWWWWL

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating

Player DNA

Aim4.4
Aggression2.6
Utility5.0
Positioning3.4
Opening Duels0.0
Clutch4.0

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 74% playstyle similarity

Most alike: utility contribution, 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

Reaction time. 708ms 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

Aim4.4
Positioning3.4
Utility5.0
Mechanics6.9
Opening Duels0.0
Win Impact4.4

Composite 4.2/10 (Developing), 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 time707ms+20ms
first ⅓ avg 688ms → last ⅓ avg 707ms
Headshot accuracy14.2%+1.1%
first ⅓ avg 13.2% → last ⅓ avg 14.2%

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

0.18Best rating — anubis 13–1
131Biggest win — anubis
6Longest win streak
L2Current streak
57In matches decided by ≤2 rounds
2Overtime games

Map breakdown

nukeBest map · 67% over 6ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB41192246%-0.00
anubisA1810856%-0.01
dust2D1441029%-0.02
infernoA95456%-0.00
cacheD72529%-0.02
nukeS64267%-0.01
ancientD51420%-0.06

Across the last 100 tracked matches.

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

Lifetime stats

47,650Lifetime kills
0.82K/D
2,835Matches
41.7%Match win rate
40.6%Headshot %
11.0%Shot accuracy
4,171MVPs
935Hours (in match)
1,835Bombs planted
491Bombs defused

Most-used weapons

AK-4712,831
AWP3,172
Negev2,310
P901,146
MP71,124

Lifetime map wins

7,026dust2
2,424inferno
1,669nuke
300cbble
105train
66vertigo
19office
11sugarcane

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

Faceit stats

Combat

34Matches
32%Win rate
0.69Avg K/D
64.7ADR
34%Headshot %

Clutches & streaks

40%1v1 clutch win
18%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1145%0.7110.9
Inferno729%0.629.1
Anubis617%0.609.8
Dust2520%0.8416.2
Ancient250%0.8013.0
Nuke1100%1.5517.0

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.

14.6%Headshot accuracy
33.5%Accuracy (enemy spotted)
32.1%Spray accuracy
81.2%Counter-strafing
11.5°Preaim
708msReaction time
24.1%T opening success
28.3%CT opening success
0.64Enemies flashed / flash
6.5%Flash assists
8.21HE damage / grenade
14.14Flashes / 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 14.5741% — below the 15% mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 708.0602ms — above the 700ms mark we flag

    Aim Training
  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 24.1229% — below the 40% mark we flag

Spend your practice time on Ancient

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.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage0–13-0.090%29 Aug
dust26–130.0617%29 Aug
mirage13–110.0125%29 Aug
mirage13–7-0.1417%29 Aug
cache11–13-0.0113%17 Aug
anubis13–70.014%17 Aug
anubis3–00.000%17 Aug
dust213–7-0.076%2 Aug
mirage13–11-0.0415%2 Aug
ancient4–13-0.0222%2 Aug
dust22–13-0.0121%2 Aug
mirage13–40.0221%1 Aug
mirage1–13-0.0713%31 Jul
mirage2–13-0.0015%29 Jul
mirage9–13-0.0420%27 Jun
mirage8–13-0.0828%20 Jun
mirage7–13-0.0616%13 Jun
anubis13–11-0.0710%30 May
cache13–40.0311%30 May
mirage11–13-0.0318%16 May
mirage9–50.0214%16 May
mirage13–10-0.008%16 May
mirage13–60.0315%16 May
dust211–13-0.0527%16 May
anubis7–130.0315%15 May
cache12–120.0119%15 May
mirage13–10-0.0213%15 May
mirage4–130.0016%3 May
mirage13–110.039%3 May
cache8–11-0.108%30 Apr
cache3–13-0.0614%30 Apr
cache13–3-0.019%29 Apr
cache9–13-0.0313%29 Apr
dust26–13-0.1120%28 Apr
ancient1–5-0.137%27 Apr
anubis2–7-0.038%27 Apr
mirage13–60.1114%27 Apr
anubis12–12-0.028%18 Apr
dust212–120.0518%17 Apr
nuke8–13-0.0011%15 Apr
mirage13–20.1815%12 Apr
anubis11–13-0.0016%10 Apr
mirage13–90.0610%10 Apr
mirage13–2-0.028%9 Apr
inferno13–40.0717%9 Apr
anubis13–20.019%9 Apr
anubis9–13-0.0416%7 Apr
dust213–10-0.0213%7 Apr
anubis8–13-0.006%5 Apr
mirage11–13-0.0516%4 Apr
mirage10–13-0.0113%4 Apr
anubis13–9-0.0116%4 Apr
mirage13–60.0315%4 Apr
ancient10–13-0.0713%3 Apr
inferno13–100.0225%3 Apr
dust27–130.037%3 Apr
ancient13–6-0.0212%2 Apr
ancient8–13-0.065%2 Apr
anubis8–13-0.0213%1 Apr
dust213–70.0020%1 Apr
anubis13–10.1814%1 Apr
mirage13–60.0119%1 Apr
dust212–120.0317%1 Apr
inferno2–6-0.03100%31 Mar
inferno13–8-0.0511%31 Mar
mirage8–13-0.0111%31 Mar
dust25–130.0118%29 Mar
anubis13–8-0.0713%29 Mar
mirage7–13-0.0313%29 Mar
dust22–13-0.0611%29 Mar
mirage5–13-0.0511%28 Mar
mirage2–13-0.0510%28 Mar
anubis13–7-0.0213%28 Mar
nuke13–11-0.014%28 Mar
nuke13–8-0.016%28 Mar
anubis13–4-0.0118%28 Mar
dust213–8-0.0113%28 Mar
inferno13–10.0214%28 Mar
mirage10–13-0.0615%27 Mar
nuke13–40.0514%27 Mar
anubis13–10-0.0910%27 Mar
mirage13–60.1029%27 Mar
dust212–12-0.0621%27 Mar
mirage8–130.0810%27 Mar
inferno13–40.017%26 Mar
mirage3–130.0229%26 Mar
nuke13–5-0.039%25 Mar
mirage13–80.0111%25 Mar
mirage13–60.0511%25 Mar
anubis12–120.028%25 Mar
mirage6–13-0.0416%25 Mar
mirage11–130.034%25 Mar
inferno5–4-0.0238%25 Mar
nuke6–13-0.0412%22 Mar
mirage15–15-0.0010%22 Mar
mirage9–00.0211%22 Mar
inferno1–13-0.066%22 Mar
mirage8–130.0317%22 Mar
inferno12–120.0219%22 Mar
mirage15–15-0.004%21 Mar

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 →