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Dolf mommy

Dolf mommy — CS2 Stats

US76561199059395914[U:1:1099130186]Steam profile ↗

416Tracked matches48%Win rate2025Tracked since
671Hours in CS17Hrs last 2 wks
CSDB Rating2.9 Learning
Premier CS Rating1,814Grey band · top ~92.3% of ranked players (population est.)
CSDB Leaderboard#22895 of 29191 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=404), 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 playerLight Blue band medianvs Light Blue band
Headshot rate38.9%40.1%1.1% short
Shot accuracy8.8%7.6%above
Kill/death ratio0.620.920.29 short
Match win rate31.5%42.2%10.7% short

This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGDolf mommyPREMIER1,814 · Grey bandcsdb.gg/stats

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Performance scores

Aim23
Positioning36
Utility33

0–100 skill scores via Leetify.

Recent form

COLD36–59–5Last 10036%Win rateLLWWWLLLLL

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Aim2.3
Aggression4.1
Utility3.3
Positioning3.6
Opening Duels0.1

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 70% 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

Reaction time. 806ms 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

Aim2.3
Positioning3.6
Utility3.3
Mechanics5.4
Opening Duels0.5
Win Impact4.4

Composite 2.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.03
first ⅓ avg -0.06 → last ⅓ avg -0.03
Reaction time824ms−38ms
first ⅓ avg 862ms → last ⅓ avg 824ms
Headshot accuracy13.9%−5.8%
first ⅓ avg 19.7% → last ⅓ avg 13.9%

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

0.10Best rating — mirage 3–6
13–0Biggest win — mirage
4Longest win streak
L2Current streak
5–2In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 78% over 9dust2Weakest map · 20% over 20
MapGradePlayedRecordWin rateAvg rating
mirageC2711–1641%-0.04
dust2D204–1620%-0.07
nukeD175–1229%-0.07
infernoD134–931%-0.06
cacheS97–278%-0.04
anubisA74–357%-0.03
ancient—31–233%-0.04
vertigo—30–30%-0.09
train—10–10%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,276Lifetime kills
0.62K/D
1,036Matches
31.5%Match win rate
38.9%Headshot %
8.8%Shot accuracy
1,101MVPs
291Hours (in match)
561Bombs planted
91Bombs defused

Most-used weapons

AK-471,455
M4A4 / M4A1-S1,424
AWP1,345
P2000 / USP-S685
Glock-18562
Desert Eagle465
Galil AR408
SSG 08368
MP7304
Negev272

Lifetime map wins

1,515dust2
788inferno
746nuke
248vertigo
100train
53office
48cbble
47lake

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.

14.0%Headshot accuracy
27.3%Accuracy (enemy spotted)
24.8%Spray accuracy
74.3%Counter-strafing
8.9°Preaim
806msReaction time
26.9%T opening success
33.9%CT opening success
0.46Enemies flashed / flash
4.3%Flash assists
9.35HE damage / grenade
2.43Flashes / 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 14.0066% — 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 805.5425ms — above the 700ms mark we flag

    Aim Training →
  3. 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 0.4578 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage3–60.1014%29 Aug →
anubis13–16-0.028%29 Aug →
anubis13–10-0.0710%28 Aug →
mirage13–90.0212%28 Aug →
cache6–1-0.047%28 Aug →
ancient6–13-0.0424%28 Aug →
mirage7–13-0.0818%27 Aug →
dust26–13-0.086%27 Aug →
nuke3–13-0.145%27 Aug →
mirage4–13-0.1317%27 Aug →
inferno13–9-0.0622%26 Aug →
dust29–13-0.1013%26 Aug →
nuke13–11-0.0113%25 Aug →
mirage13–60.0713%25 Aug →
mirage16–13-0.0519%23 Aug →
anubis13–2-0.0113%23 Aug →
cache13–16-0.0217%21 Aug →
mirage5–13-0.0012%21 Aug →
mirage13–9-0.0128%18 Aug →
mirage10–13-0.0710%17 Aug →
dust22–13-0.0815%17 Aug →
ancient13–11-0.0011%16 Aug →
inferno13–70.0118%16 Aug →
mirage8–130.0113%16 Aug →
mirage13–7-0.0310%15 Aug →
cache13–90.0316%15 Aug →
mirage13–10.0114%15 Aug →
mirage3–4-0.038%15 Aug →
mirage12–12-0.0213%14 Aug →
inferno4–13-0.1313%14 Aug →
cache13–60.0117%13 Aug →
dust29–130.0122%13 Aug →
inferno5–13-0.0712%13 Aug →
nuke6–13-0.0315%13 Aug →
dust25–13-0.0522%13 Aug →
mirage1–13-0.0950%11 Aug →
nuke1–13-0.0911%11 Aug →
mirage8–13-0.0719%11 Aug →
mirage6–13-0.1112%9 Aug →
ancient8–13-0.078%9 Aug →
dust27–13-0.1116%9 Aug →
mirage13–8-0.0122%9 Aug →
anubis4–13-0.105%9 Aug →
anubis13–7-0.0012%8 Aug →
mirage13–8-0.0218%8 Aug →
mirage13–9-0.0213%8 Aug →
nuke4–13-0.0914%7 Aug →
mirage9–13-0.0631%7 Aug →
cache13–11-0.0320%7 Aug →
anubis1–13-0.0925%6 Aug →
mirage5–13-0.1010%6 Aug →
inferno3–13-0.128%6 Aug →
dust213–10-0.070%6 Aug →
mirage13–0-0.0323%6 Aug →
inferno6–13-0.067%6 Aug →
dust211–13-0.0411%6 Aug →
inferno6–13-0.0724%5 Aug →
nuke12–12-0.088%5 Aug →
cache16–14-0.0521%5 Aug →
dust29–13-0.0824%4 Aug →
mirage5–13-0.105%4 Aug →
inferno0–13-0.0915%4 Aug →
nuke13–9-0.0415%4 Aug →
train12–12-0.020%4 Aug →
nuke3–13-0.1120%4 Aug →
dust26–13-0.0930%4 Aug →
nuke8–13-0.0215%4 Aug →
mirage13–5-0.0129%3 Aug →
dust212–12-0.0619%3 Aug →
dust24–13-0.1020%3 Aug →
inferno7–10.0113%3 Aug →
cache5–13-0.0725%3 Aug →
nuke10–13-0.0214%3 Aug →
anubis13–00.0629%3 Aug →
inferno3–13-0.104%3 Aug →
nuke8–13-0.0729%3 Aug →
cache13–6-0.0639%3 Aug →
mirage9–13-0.0223%3 Aug →
mirage2–5-0.1013%3 Aug →
nuke13–10-0.0525%3 Aug →
dust210–13-0.0619%1 Aug →
nuke2–13-0.0614%1 Aug →
inferno13–9-0.0227%31 Jul →
dust213–8-0.0117%31 Jul →
inferno2–13-0.066%30 Jul →
nuke2–13-0.0824%30 Jul →
dust26–13-0.1025%29 Jul →
dust213–3-0.1123%29 Jul →
vertigo8–13-0.0712%29 Jul →
vertigo8–13-0.0823%29 Jul →
vertigo2–13-0.109%29 Jul →
nuke16–14-0.0615%28 Jul →
cache13–8-0.1228%28 Jul →
inferno8–13-0.0328%28 Jul →
dust28–13-0.0812%28 Jul →
nuke13–5-0.1013%28 Jul →
dust213–8-0.099%28 Jul →
nuke12–12-0.0922%27 Jul →
dust26–13-0.1130%27 Jul →
dust29–13-0.0514%27 Jul →

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 →

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