Step Mom

Step Mom — CS2 Stats

US76561199144522170[U:1:1184256442]Steam profile ↗✓ No bans

2,641Tracked matches64%Win rate2024Tracked since
3,143Hours in CS18Hrs last 2 wks
CSDB Rating5.3 DevelopingSupport
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify
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. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=5,544), 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 rate63.0%41.3%41.9%above
Shot accuracy0.0%12.7%12.2%12.2% short
Kill/death ratio1.180.950.98above
Match win rate45.2%42.5%43.3%above

This profile matches the typical Level 3 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.

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CSDB.GGStep MomFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim57
Positioning35
Utility52

0–100 skill scores via Leetify.

Recent form

COLD473914Last 10047%Win rateLWLLLLWWLL

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · −1.6pp headshot accuracy · +6ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 14 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 598ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 625ms

Last 20

  • 1082 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 622ms

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: SupportUtility contribution stands above the rest of this profile (+2.9 against its own average).

Aim5.7
Utility5.2
Positioning3.5
Opening Duels0.0
Clutch0.6

Strong CT-side opener

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

Twistzz

Plays most like Twistzz 86% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 642ms 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

Aim5.7
Positioning3.5
Utility5.2
Mechanics6.9
Opening Duels0.8
Win Impact9.8

Composite 5.3/10 (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-0.02−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time642ms−33ms
first ⅓ avg 675ms → last ⅓ avg 642ms
Headshot accuracy24.2%−4.4%
first ⅓ avg 28.6% → last ⅓ avg 24.2%

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.

Personal bests

0.19Best match rating · 12–7 · nuke, 3 Sept
78%Best headshot accuracy · 2–11 · dust2, 4 Sept
484msFastest reaction time · 13–5 · ancient, 10 Sept
13–1Biggest win · train, 26 Aug

Across the last 100 tracked matches.

Highlights

6Longest win streak
46In matches decided by ≤2 rounds

Map breakdown

trainBest map · 80% over 5infernoWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
nukeB21111052%-0.01
infernoC145936%-0.03
dust2A148657%-0.00
vertigoC135838%-0.02
ancientS96367%-0.00
anubisC73443%0.01
cacheB63350%-0.04
trainS54180%-0.04
office3030%-0.03
mirage31233%-0.04
poseidon21150%-0.07
overpass2020%-0.03
italy1010%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

95,078Lifetime kills
1.18K/D · Top 25% of Level 2 players
4,628Matches
45.2%Match win rate · Top 50% of Level 2 players
63.0%Headshot % · Top 5% of Level 2 players
0.0%Shot accuracy
7,801MVPs
1,698Hours (in match)
4,233Bombs planted
912Bombs defused

Most-used weapons

AK-4748,252
MP95,273
MAC-103,405
AWP2,655
Tec-91,285

Lifetime map wins

10,088dust2
6,282inferno
4,060vertigo
3,920nuke
1,139train
486office
442italy
17ar_shoots

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

Faceit stats

Combat

62Matches
34%Win rate
0.80Avg K/D
73.6ADR
45%Headshot %

Clutches & streaks

23%1v1 clutch win
5%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2035%0.7110.2
Dust21735%0.9013.1
Anubis757%1.0114.9
Ancient633%0.8415.8
Nuke30%0.5611.7
Inferno333%0.618.7
Train20%0.5810.5
Overpass250%0.6212.5

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.

24.8%Headshot accuracy
29.1%Accuracy (enemy spotted)
28.4%Spray accuracy
81.0%Counter-strafing
10.5°Preaim
642msReaction time
28.7%T opening success
36.8%CT opening success
0.56Enemies flashed / flash
4.7%Flash assists
5.83HE damage / grenade
14.56Flashes / 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. 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 28.7359% — 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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno4–13-0.0528%17 Sept
dust213–80.0323%17 Sept
nuke3–13-0.1025%17 Sept
dust27–13-0.0423%17 Sept
inferno6–9-0.0219%16 Sept
vertigo8–13-0.0622%16 Sept
inferno13–70.0522%16 Sept
dust213–90.1029%16 Sept
ancient8–13-0.0429%16 Sept
nuke7–13-0.0329%16 Sept
anubis12–120.0635%16 Sept
ancient13–40.0122%12 Sept
dust213–10-0.0223%12 Sept
nuke13–60.0338%12 Sept
dust213–90.0229%12 Sept
dust213–80.0330%11 Sept
ancient13–50.0630%11 Sept
vertigo12–12-0.0431%11 Sept
nuke13–9-0.0311%11 Sept
vertigo9–13-0.0914%10 Sept
nuke7–1-0.0322%10 Sept
cache7–13-0.1213%10 Sept
inferno13–11-0.0814%10 Sept
dust28–130.0040%10 Sept
ancient13–5-0.0326%10 Sept
train13–7-0.0614%9 Sept
nuke13–100.0521%9 Sept
nuke7–13-0.0711%7 Sept
vertigo13–8-0.0220%7 Sept
anubis13–100.0242%5 Sept
nuke13–8-0.0625%5 Sept
vertigo13–6-0.0217%5 Sept
cache13–80.0022%5 Sept
cache12–12-0.0421%4 Sept
inferno13–7-0.0029%4 Sept
office7–130.0138%4 Sept
dust22–11-0.0978%4 Sept
mirage12–12-0.0623%3 Sept
anubis6–13-0.0622%3 Sept
cache13–70.0341%3 Sept
inferno12–12-0.1019%3 Sept
inferno8–8-0.0528%3 Sept
nuke12–70.1928%3 Sept
vertigo11–130.0030%3 Sept
train13–9-0.0927%3 Sept
nuke3–7-0.0714%3 Sept
nuke13–50.0725%3 Sept
vertigo3–13-0.0531%2 Sept
italy5–13-0.0121%2 Sept
inferno11–130.0337%2 Sept
poseidon5–9-0.1429%2 Sept
overpass4–13-0.0622%2 Sept
ancient13–11-0.0118%2 Sept
cache13–8-0.0316%2 Sept
vertigo13–110.0535%2 Sept
inferno6–13-0.0329%2 Sept
nuke8–13-0.0632%2 Sept
nuke12–12-0.0617%1 Sept
dust213–10-0.0629%1 Sept
overpass12–12-0.0129%31 Aug
nuke13–20.0020%31 Aug
dust24–130.0338%30 Aug
anubis12–120.0228%30 Aug
inferno13–11-0.0531%29 Aug
nuke13–9-0.0724%29 Aug
ancient4–13-0.0325%29 Aug
vertigo7–9-0.0812%29 Aug
inferno12–12-0.0550%29 Aug
nuke12–120.0429%28 Aug
office5–13-0.0535%28 Aug
inferno7–9-0.0331%28 Aug
anubis13–6-0.0525%28 Aug
train13–2-0.1021%28 Aug
mirage11–13-0.0320%27 Aug
vertigo9–130.0250%27 Aug
anubis13–60.1324%27 Aug
nuke13–40.0727%27 Aug
train7–130.0243%27 Aug
vertigo13–8-0.0133%27 Aug
dust23–13-0.1117%27 Aug
cache3–13-0.0929%27 Aug
ancient6–00.0167%27 Aug
inferno7–9-0.0429%27 Aug
ancient6–13-0.0438%26 Aug
train13–10.0528%26 Aug
nuke9–13-0.0511%26 Aug
dust212–120.0331%26 Aug
nuke13–10-0.0423%26 Aug
nuke12–12-0.0318%25 Aug
nuke9–13-0.0627%25 Aug
office8–13-0.0633%25 Aug
poseidon9–40.0013%25 Aug
ancient13–10.0534%24 Aug
dust213–60.0021%24 Aug
anubis6–13-0.0824%23 Aug
vertigo13–100.0325%23 Aug
inferno13–10-0.0122%22 Aug
vertigo12–12-0.0425%22 Aug
dust213–20.0630%22 Aug
mirage13–4-0.0212%22 Aug

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 →