SuperMarness

SuperMarness — CS2 Stats

FR76561198251948210[U:1:291682482]Steam profile ↗✓ No bans

524Tracked matches54%Win rate2020Tracked since
2,368Hours in CS1Hrs last 2 wks
CSDB Rating4.3 DevelopingPositional Player
FaceitLevel 5Top 67.6% of ranked FACEIT players
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. 73 days played since 6 Apr 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 15,814 +5,234 21 Apr13 Oct · 6 days played
10,58015,814peak 15,81421 Apr13 Oct
15,814Peak Premier in tracked matches
73Days played since 2025-04-06

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=12,274), 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 5 medianLevel 6 medianvs Level 6
Headshot rate35.0%43.8%44.8%9.8% short
Shot accuracy19.5%12.0%12.4%above
Kill/death ratio1.171.021.04above
Match win rate46.4%44.7%45.2%above

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSuperMarnessFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim50
Positioning48
Utility21

0–100 skill scores via Leetify.

Recent form

STEADY54397Last 10054%Win rateWLWWWLLLWL

Last 10 vs previous 10: 0pp win rate · +0.04 avg rating · −2.9pp headshot accuracy · −69ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 41 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 13%
  • Avg reaction 558ms

Last 10

  • 55 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 538ms

Last 20

  • 1091 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 573ms

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 (+1.6 against its own average).

Aim5.0
Utility2.1
Positioning4.8
Opening Duels1.6
Clutch4.4

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

iM

Plays most like iM 85% playstyle similarity

Most alike: positioning profile, 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. 563ms 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

Aim5.0
Positioning4.8
Utility2.1
Mechanics5.1
Opening Duels1.1
Win Impact6.2

Composite 4.3/10 (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 rating0.01+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time568ms−70ms
first ⅓ avg 639ms → last ⅓ avg 568ms
Headshot accuracy14.2%−2.7%
first ⅓ avg 16.8% → 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.

Personal bests

0.11Best match rating · 12–12 · nuke, 8 Jan
41%Best headshot accuracy · 13–6 · inferno, 17 Aug
359msFastest reaction time · 10–13 · vertigo, 25 Jan
13–0Biggest win · nuke, 16 Apr

Across the last 100 tracked matches.

Highlights

5Longest win streak
76In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 73% over 11dust2Weakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
infernoB21101148%-0.00
mirageA1710759%0.01
dust2C1761135%-0.00
anubisA116555%0.00
ancientS118373%-0.01
nukeB63350%0.02
office42250%0.02
vertigo32167%0.01
overpass32167%-0.01
cache220100%-0.01
train220100%0.01
grail21150%0.00
golden1010%0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

78,269Lifetime kills
1.17K/D · Top 25% of Level 5 players
3,942Matches
46.4%Match win rate · Top 50% of Level 5 players
35.0%Headshot %
19.5%Shot accuracy · Top 5% of Level 5 players
11,679MVPs
1,364Hours (in match)
3,538Bombs planted
921Bombs defused

Most-used weapons

AK-4716,760
AWP12,496
Nova2,415
MP72,286
MAC-101,838
Tec-91,573

Lifetime map wins

9,077inferno
2,754dust2
1,390office
1,378vertigo
1,081nuke
908cbble
805train
149lake

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

Faceit stats

Combat

53Matches
55%Win rate
0.99Avg K/D
71.4ADR
35%Headshot %

Clutches & streaks

42%1v1 clutch win
8%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno825%0.8215.5
Dust2683%0.9414.2
Mirage633%0.6612.0
Vertigo5100%0.9316.8
Ancient250%1.1216.5
Anubis1100%1.8815.0
Nuke10%1.1121.0

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.

14.2%Headshot accuracy
32.8%Accuracy (enemy spotted)
37.9%Spray accuracy
72.8%Counter-strafing
12.9°Preaim
563msReaction time
29.8%T opening success
38.7%CT opening success
0.41Enemies flashed / flash
1.8%Flash assists
9.24HE damage / grenade
1.65Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.8955° — above the 12° mark we flag

    Aim Training
  2. 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 14.1768% — below the 15% 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 0.4101 — 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.

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–100.0611%16 Sept
office6–130.0113%4 Sept
office13–50.0721%4 Sept
dust213–110.059%1 Sept
mirage13–50.0512%31 Aug
anubis10–130.037%30 Aug
ancient11–13-0.0613%27 Aug
inferno8–130.0215%27 Aug
cache13–6-0.0313%26 Aug
office9–130.0211%26 Aug
dust21–13-0.0312%26 Aug
dust213–80.0517%23 Aug
mirage7–13-0.082%28 Jul
nuke6–13-0.0521%28 Jul
anubis11–13-0.0316%23 Jul
cache13–80.0116%12 Jul
inferno16–13-0.0718%27 May
mirage12–12-0.028%16 Apr
nuke13–00.0617%16 Apr
ancient13–9-0.0126%9 Mar
inferno9–13-0.056%7 Mar
vertigo13–80.069%11 Feb
mirage13–40.0425%8 Feb
anubis13–70.0319%3 Feb
inferno13–20.014%2 Feb
vertigo13–6-0.028%2 Feb
vertigo10–13-0.029%25 Jan
inferno9–130.0316%24 Jan
inferno10–130.0520%20 Jan
nuke12–120.1124%8 Jan
mirage10–130.0513%8 Jan
nuke13–100.067%8 Jan
ancient13–4-0.0727%28 Dec
ancient13–70.0411%28 Dec
dust211–130.0018%15 Dec
anubis3–130.0912%14 Dec
office13–11-0.0326%30 Nov
inferno6–13-0.0213%27 Nov
nuke3–13-0.064%27 Nov
ancient13–40.0117%13 Nov
mirage7–13-0.0318%11 Nov
anubis13–5-0.043%11 Nov
mirage8–13-0.057%2 Nov
ancient6–13-0.0511%30 Oct
inferno10–13-0.039%30 Oct
mirage13–70.0211%14 Oct
dust212–12-0.0211%13 Oct
mirage13–9-0.048%13 Oct
ancient13–80.0218%13 Oct
inferno9–13-0.0027%13 Oct
train13–100.0310%11 Oct
dust20–13-0.026%9 Oct
dust216–130.0815%7 Oct
golden5–130.0511%5 Oct
dust21–13-0.092%1 Oct
dust211–13-0.019%30 Sept
ancient12–120.009%29 Sept
mirage16–14-0.017%29 Sept
mirage8–13-0.0318%24 Sept
ancient13–9-0.0320%18 Sept
dust214–16-0.0524%16 Sept
inferno3–13-0.084%15 Sept
mirage13–8-0.038%15 Sept
train13–5-0.0019%11 Sept
inferno12–120.0613%8 Sept
dust213–10-0.0011%8 Sept
inferno6–130.0219%6 Sept
mirage13–70.0711%4 Sept
ancient13–30.033%4 Sept
grail2–13-0.009%1 Sept
grail13–110.0111%1 Sept
anubis13–8-0.005%31 Aug
inferno13–50.0123%25 Aug
inferno13–50.0229%24 Aug
anubis13–9-0.0618%23 Aug
dust212–120.0412%20 Aug
anubis3–13-0.0616%19 Aug
inferno13–60.0041%17 Aug
mirage11–130.0513%17 Aug
overpass12–40.0233%7 Aug
anubis13–80.1035%7 Aug
inferno13–110.0720%7 Aug
ancient13–100.0219%31 Jul
mirage13–60.0111%29 Jul
inferno10–13-0.0514%29 Jul
anubis13–70.028%27 Jul
overpass9–13-0.0818%21 Jul
inferno13–9-0.0517%21 Jul
inferno13–30.0513%16 Jun
dust213–11-0.0313%15 Jun
mirage13–80.0811%12 Jun
dust213–40.0713%10 Jun
dust26–13-0.0021%2 May
nuke13–110.0122%27 Apr
inferno13–5-0.0522%24 Apr
inferno13–8-0.0216%21 Apr
anubis9–13-0.0613%21 Apr
overpass13–70.0319%16 Apr
dust212–12-0.0322%14 Apr
dust20–11-0.046%6 Apr

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 →