Gamermommy7 — CS2 Stats

76561199429005295[U:1:1468739567]

1,948Tracked matches45%Win rate2025Tracked since
1,621Hours in CS31Hrs last 2 wks
CSDB Rating4.3 DevelopingPassive Rifler
Premier CS Rating13,003Blue band · top ~39% of ranked players (population est.)
CSDB Leaderboard#20408 of 30151 tracked
WingmanGold Nova I
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 rate43.4%41.7%44.1%meets
Shot accuracy0.0%8.8%11.4%11.4% short
Kill/death ratio0.610.971.030.42 short
Match win rate43.4%43.8%45.2%1.8% short

This profile matches the typical Purple band player on 1 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.GGGamermommy7PREMIER13,003 · Blue bandcsdb.gg/stats

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Performance scores

Aim65
Positioning23
Utility41

0–100 skill scores via Leetify.

Recent form

HOT47521Last 10047%Win rateLWLWWLWWWW

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.5
Aggression1.5
Utility4.1
Positioning2.3
Opening Duels0.0
Clutch0.0

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 72% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; lower positioning 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

Positioning. Positioning trails aim by 42 points — deaths here waste a strong aim profile.

Reaction time. 639ms 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

Aim6.5
Positioning2.3
Utility4.1
Mechanics7.3
Opening Duels0.4
Win Impact3.3

Composite 4.3/10 (Developing), 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 rating-0.04+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time644ms−49ms
first ⅓ avg 693ms → last ⅓ avg 644ms
Headshot accuracy16.2%+1.7%
first ⅓ avg 14.5% → last ⅓ avg 16.2%

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

0.13Best rating — nuke 13–0
130Biggest win — nuke
5Longest win streak
118In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 67% over 12infernoWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA22121055%-0.04
anubisC1981142%-0.04
cacheB179853%-0.04
nukeC146843%-0.03
ancientS128467%-0.00
infernoD113827%-0.04
dust23030%-0.07
vertigo21150%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,944Lifetime kills
0.61K/D
2,247Matches
43.4%Match win rate
43.4%Headshot % · Top 50% of Blue band
0.0%Shot accuracy
2,646MVPs
897Hours (in match)
902Bombs planted
261Bombs defused

Most-used weapons

Lifetime map wins

2,942dust2
2,893nuke
2,871inferno
1,108vertigo
910office
720train
128italy
1ar_baggage

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

Faceit stats

Combat

2Matches
50%Win rate
0.56Avg K/D
53.3ADR
50%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient10%0.336.0
Anubis1100%0.7814.0

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.

16.3%Headshot accuracy
33.8%Accuracy (enemy spotted)
38.7%Spray accuracy
82.9%Counter-strafing
9.8°Preaim
639msReaction time
19.9%T opening success
33.1%CT opening success
0.45Enemies flashed / flash
1.0%Flash assists
10.07HE damage / grenade
7.09Flashes / 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 0.4457 — 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 19.9473% — 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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis1–8-0.0423%27 Aug
anubis13–70.0316%26 Aug
mirage1–3-0.2210%26 Aug
ancient13–110.0116%26 Aug
mirage13–9-0.0617%25 Aug
anubis5–13-0.1017%24 Aug
cache13–11-0.0420%24 Aug
ancient10–10.0221%23 Aug
nuke13–00.135%23 Aug
mirage13–10-0.049%23 Aug
vertigo9–50.0114%23 Aug
inferno3–9-0.1313%23 Aug
cache13–7-0.0613%22 Aug
mirage5–13-0.0810%22 Aug
anubis6–13-0.0623%22 Aug
nuke7–13-0.0312%22 Aug
ancient13–7-0.0124%22 Aug
ancient6–13-0.0918%21 Aug
anubis11–13-0.0621%20 Aug
mirage11–13-0.0914%20 Aug
dust28–13-0.0519%20 Aug
mirage10–13-0.0420%20 Aug
mirage4–13-0.0930%20 Aug
anubis1–13-0.0721%20 Aug
anubis15–15-0.028%19 Aug
ancient12–10.0220%19 Aug
mirage13–30.1122%19 Aug
nuke3–13-0.0810%19 Aug
cache10–13-0.0514%19 Aug
inferno13–40.0314%19 Aug
mirage13–11-0.0015%19 Aug
nuke10–13-0.0215%18 Aug
anubis13–6-0.0812%18 Aug
inferno10–13-0.0510%17 Aug
mirage13–6-0.0513%17 Aug
cache13–30.0117%17 Aug
mirage13–70.0318%17 Aug
mirage12–16-0.0210%15 Aug
cache9–13-0.0122%15 Aug
nuke9–13-0.0621%15 Aug
anubis13–11-0.0313%15 Aug
ancient13–9-0.039%14 Aug
inferno8–13-0.0311%14 Aug
nuke13–8-0.065%14 Aug
cache13–3-0.044%14 Aug
ancient6–13-0.0111%14 Aug
anubis10–13-0.0721%14 Aug
ancient16–14-0.029%14 Aug
mirage11–13-0.0421%13 Aug
mirage5–13-0.0719%13 Aug
inferno6–13-0.0329%12 Aug
inferno6–13-0.0319%11 Aug
mirage7–13-0.1111%10 Aug
anubis13–9-0.0530%10 Aug
nuke12–16-0.096%10 Aug
cache8–13-0.1119%9 Aug
anubis11–13-0.0911%9 Aug
anubis16–14-0.049%9 Aug
inferno8–13-0.0115%8 Aug
mirage13–100.0216%8 Aug
ancient13–100.0615%8 Aug
anubis7–00.1125%8 Aug
nuke13–70.0123%8 Aug
nuke16–140.0412%8 Aug
anubis4–13-0.0315%7 Aug
mirage8–13-0.078%7 Aug
cache13–20.0525%7 Aug
cache3–13-0.0215%7 Aug
anubis13–4-0.0317%7 Aug
mirage10–2-0.0616%7 Aug
nuke10–13-0.0813%6 Aug
cache6–13-0.0516%6 Aug
cache14–16-0.068%6 Aug
anubis13–80.0222%6 Aug
mirage13–2-0.0119%6 Aug
cache16–14-0.105%5 Aug
inferno13–9-0.0711%5 Aug
ancient11–13-0.0117%5 Aug
cache9–13-0.0911%5 Aug
inferno6–13-0.0716%5 Aug
mirage13–10.0416%4 Aug
nuke13–11-0.0211%4 Aug
nuke4–13-0.1025%3 Aug
dust210–13-0.0216%3 Aug
inferno13–9-0.0417%3 Aug
ancient5–130.0311%2 Aug
mirage16–14-0.0518%2 Aug
anubis3–13-0.0113%2 Aug
cache13–10-0.0016%2 Aug
cache1–13-0.095%1 Aug
nuke7–13-0.079%1 Aug
ancient13–8-0.0120%1 Aug
nuke16–14-0.0520%1 Aug
inferno5–13-0.066%1 Aug
anubis14–16-0.0510%1 Aug
cache13–7-0.0216%31 Jul
vertigo10–13-0.0718%31 Jul
mirage13–8-0.059%31 Jul
cache13–10-0.0417%31 Jul
dust29–13-0.1418%31 Jul

Match data via Leetify.

Recent teammates

Milestones

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