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Isopahatummamies

Isopahatummamies — CS2 Stats

76561198856433337[U:1:896167609]Steam profile ↗✓ No bans

4,848Tracked matches48%Win rate2020Tracked since
CSDB Rating3.5 Learning
Premier CS Rating10,845Blue band · top ~50.4% of ranked players (population est.)
CSDB Leaderboard#39196 of 55736 tracked
FaceitLevel 7 · 1,599 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGIsopahatummamiesFACEITLevel 7 · 1,599 ELOSTANDINGTop 42.3% of rankedPREMIER10,845 · Blue bandcsdb.gg/stats

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Performance scores

Aim28
Positioning39
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateTWLWWWWLLW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Aim2.8
Aggression4.9
Utility4.8
Positioning3.9
Opening Duels3.0
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 77% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

T-side openings. Opening success drops from 54% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 768ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.8
Positioning3.9
Utility4.8
Mechanics3.8
Opening Duels3.0
Win Impact4.4

Composite 3.5/10 (Learning), 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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time751ms+55ms
first ⅓ avg 696ms → last ⅓ avg 751ms
Headshot accuracy17.3%+2.9%
first ⅓ avg 14.4% → last ⅓ avg 17.3%

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 — inferno 13–0
13–0Biggest win — inferno
7Longest win streak
8–8In matches decided by ≤2 rounds
13Overtime games

Map breakdown

dust2Best map · 60% over 15anubisWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
ancientB2413–1154%-0.02
mirageA1810–856%0.01
anubisD155–1033%0.01
dust2A159–660%0.01
nukeC135–838%0.03
infernoB115–645%0.01
cache—40–40%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

932Matches
50%Win rate
1.20Avg K/D
87.7ADR
35%Headshot %

Clutches & streaks

40%1v1 clutch win
31%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke14361%1.2918.4
Ancient12253%1.3018.4
Inferno9447%1.1216.1
Dust28238%1.1817.0
Anubis7643%1.1316.6
Mirage5739%0.9314.7
Train3866%1.4418.9
Overpass1753%1.3718.4

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.

16.5%Headshot accuracy
33.7%Accuracy (enemy spotted)
34.4%Spray accuracy
67.0%Counter-strafing
12.9°Preaim
768msReaction time
30.0%T opening success
54.4%CT opening success
0.52Enemies flashed / flash
9.6%Flash assists
13.68HE damage / grenade
5.70Flashes / 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 12.8778° — above the 12° 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 768.1027ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient15–150.0615%30 Aug →
mirage13–11-0.0116%30 Aug →
inferno13–16-0.0711%30 Aug →
mirage13–2-0.0016%30 Aug →
inferno13–9-0.0818%30 Aug →
mirage13–70.0320%30 Aug →
mirage13–6-0.0212%30 Aug →
cache13–16-0.0322%29 Aug →
mirage8–130.0013%29 Aug →
ancient13–30.0220%29 Aug →
ancient7–13-0.0620%29 Aug →
mirage8–13-0.0429%29 Aug →
anubis13–9-0.0515%28 Aug →
inferno9–13-0.077%28 Aug →
dust213–10.1019%28 Aug →
mirage13–50.0220%28 Aug →
cache6–13-0.0514%28 Aug →
inferno13–70.0822%27 Aug →
cache15–15-0.0618%25 Aug →
dust23–13-0.0424%25 Aug →
mirage15–15-0.059%25 Aug →
dust28–13-0.0413%22 Aug →
ancient0–13-0.0830%21 Aug →
dust213–7-0.0322%20 Aug →
dust27–13-0.0410%20 Aug →
ancient13–100.0216%20 Aug →
dust211–130.0820%20 Aug →
dust213–70.0519%20 Aug →
mirage7–13-0.0311%20 Aug →
mirage12–160.018%20 Aug →
nuke5–13-0.0218%20 Aug →
ancient13–60.0620%19 Aug →
anubis13–90.1322%19 Aug →
inferno5–13-0.070%18 Aug →
anubis2–13-0.0215%16 Aug →
ancient16–14-0.065%13 Aug →
ancient13–11-0.079%13 Aug →
nuke6–13-0.096%12 Aug →
anubis7–13-0.015%12 Aug →
ancient13–11-0.0415%12 Aug →
mirage9–130.048%12 Aug →
dust213–100.0110%12 Aug →
mirage13–80.0612%11 Aug →
anubis3–13-0.0211%10 Aug →
ancient13–11-0.0920%9 Aug →
ancient2–13-0.0916%9 Aug →
ancient13–3-0.0414%9 Aug →
ancient13–10-0.116%9 Aug →
anubis4–13-0.087%9 Aug →
nuke13–30.0114%9 Aug →
dust213–100.0210%8 Aug →
ancient3–130.029%8 Aug →
nuke13–90.1218%8 Aug →
dust210–130.0211%8 Aug →
inferno7–130.0825%8 Aug →
anubis13–40.1314%8 Aug →
ancient13–90.028%8 Aug →
anubis11–13-0.0316%8 Aug →
dust213–110.0315%7 Aug →
nuke11–130.0714%6 Aug →
mirage13–10.1014%6 Aug →
ancient13–70.1015%6 Aug →
nuke11–130.0313%6 Aug →
nuke11–130.018%4 Aug →
nuke13–60.1815%4 Aug →
cache7–13-0.0314%4 Aug →
inferno13–90.0213%4 Aug →
inferno11–130.049%3 Aug →
nuke13–40.0428%3 Aug →
ancient13–70.0717%3 Aug →
inferno13–9-0.029%31 Jul →
nuke16–130.0116%31 Jul →
anubis13–20.156%31 Jul →
inferno13–00.1815%31 Jul →
mirage13–50.0910%31 Jul →
ancient8–13-0.0511%31 Jul →
ancient7–13-0.0326%31 Jul →
anubis3–8-0.0722%31 Jul →
ancient15–150.0613%30 Jul →
mirage2–130.0313%30 Jul →
ancient15–15-0.0614%29 Jul →
ancient14–16-0.067%29 Jul →
anubis10–13-0.0316%29 Jul →
mirage4–13-0.0412%29 Jul →
ancient16–14-0.0413%29 Jul →
mirage13–100.0121%29 Jul →
anubis5–130.0318%28 Jul →
nuke5–130.0014%28 Jul →
dust213–80.0310%28 Jul →
ancient1–13-0.0322%28 Jul →
inferno10–130.008%28 Jul →
anubis10–130.0119%23 Jul →
nuke10–130.0720%23 Jul →
dust213–110.0615%23 Jul →
mirage13–2-0.033%23 Jul →
anubis9–13-0.0515%23 Jul →
nuke14–160.0116%23 Jul →
dust210–13-0.0912%22 Jul →
dust213–60.0111%22 Jul →
anubis13–40.0311%22 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 →

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