ᴾʳʸ EroTec.™

ᴾʳʸ EroTec.™ — CS2 Stats

DE76561198082035975[U:1:121770247]Steam profile ↗

2,452Tracked matches55%Win rate2022Tracked since
CSDB Rating6.4 SolidSupport
Premier CS Rating25,834Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)
CSDB Leaderboard#3028 of 32735 tracked
FaceitLevel 9 · 2,000 ELOTop 20.7% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

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CSDB.GGᴾʳʸ EroTec.™FACEITLevel 9 · 2,000 ELOSTANDINGTop 20.7% of rankedPREMIER25,834 · Red bandcsdb.gg/stats

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Performance scores

Aim80
Positioning44
Utility72

0–100 skill scores via Leetify.

Recent form

STEADY48493Last 10048%Win rateLLLWWLLWWW

Last 10 vs previous 10: -20pp win rate · -0.04 avg rating

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim8.0
Aggression3.7
Utility7.2
Positioning4.4
Opening Duels0.0
Clutch3.8

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.

Your pro match

NiKo

Plays most like NiKo 86% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; lower opening-duel success.

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 36 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 46% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.0
Positioning4.4
Utility7.2
Mechanics6.0
Opening Duels1.9
Win Impact6.7

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time548ms+21ms
first ⅓ avg 527ms → last ⅓ avg 548ms
Headshot accuracy16.0%+0.9%
first ⅓ avg 15.2% → last ⅓ avg 16.0%

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

0.11Best rating — anubis 13–6
130Biggest win — ancient
6Longest win streak
L3Current streak
104In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 73% over 11infernoWeakest map · 38% over 24
MapGradePlayedRecordWin rateAvg rating
infernoC2491538%-0.01
ancientB23111248%0.00
dust2B158753%-0.02
anubisS118373%0.03
nukeC94544%0.01
mirageC73443%-0.03
cacheB63350%0.02
office2020%0.03
overpass21150%-0.02
train110100%0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 24). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

984Matches
50%Win rate
1.12Avg K/D
69.9ADR
41%Headshot %

Clutches & streaks

39%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient17557%1.1314.6
Inferno15651%1.1014.0
Dust214345%1.0814.3
Anubis12546%1.0013.7
Nuke6751%1.0414.3
Mirage6047%1.2212.8
Overpass3759%0.9413.0
Vertigo2548%0.9813.4

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.

16.6%Headshot accuracy
37.6%Accuracy (enemy spotted)
42.4%Spray accuracy
77.0%Counter-strafing
8.8°Preaim
537msReaction time
14.9%T opening success
45.5%CT opening success
0.61Enemies flashed / flash
5.1%Flash assists
9.96HE damage / grenade
22.06Flashes / 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 14.8674% — 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.

38% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke9–130.0423%27 Aug
nuke13–16-0.0220%27 Aug
inferno17–19-0.0518%24 Aug
ancient13–4-0.0321%24 Aug
anubis13–5-0.0124%24 Aug
dust211–130.0223%23 Aug
ancient9–13-0.0114%23 Aug
nuke13–11-0.0118%23 Aug
ancient13–80.0126%21 Aug
dust213–5-0.039%20 Aug
mirage13–90.0616%20 Aug
ancient13–80.0823%19 Aug
ancient7–130.0525%19 Aug
ancient13–30.105%19 Aug
anubis13–8-0.0118%17 Aug
ancient9–130.0028%17 Aug
dust219–17-0.0011%16 Aug
cache13–80.0418%15 Aug
ancient5–13-0.0614%14 Aug
dust216–140.0517%14 Aug
ancient5–130.0412%14 Aug
anubis13–60.118%13 Aug
inferno8–130.1020%13 Aug
ancient15–150.0115%10 Aug
anubis9–130.0110%10 Aug
inferno13–110.029%8 Aug
dust26–13-0.0813%7 Aug
dust213–60.028%7 Aug
inferno0–13-0.1015%7 Aug
ancient13–11-0.0114%3 Aug
dust213–6-0.048%3 Aug
inferno4–13-0.0612%3 Aug
anubis13–100.0912%1 Aug
mirage6–13-0.0713%1 Aug
ancient13–9-0.0510%1 Aug
cache9–13-0.0220%30 Jul
anubis13–5-0.0210%25 Jul
office12–120.0423%25 Jul
ancient13–16-0.0622%24 Jul
inferno7–13-0.0424%24 Jul
inferno13–80.0221%23 Jul
cache13–110.0422%23 Jul
cache11–130.0315%21 Jul
ancient7–130.0838%21 Jul
nuke9–130.0118%19 Jul
nuke9–13-0.069%17 Jul
inferno13–60.0216%17 Jul
dust213–50.0011%17 Jul
inferno13–30.0745%17 Jul
ancient11–13-0.0510%17 Jul
inferno6–13-0.0215%17 Jul
inferno6–13-0.038%16 Jul
dust29–13-0.0423%16 Jul
inferno13–11-0.0310%15 Jul
inferno13–7-0.044%13 Jul
dust213–10-0.0420%13 Jul
inferno10–13-0.0313%12 Jul
ancient9–130.0316%12 Jul
inferno5–13-0.0219%12 Jul
inferno10–130.0320%11 Jul
mirage6–13-0.0622%11 Jul
dust23–13-0.0719%11 Jul
anubis13–60.0716%10 Jul
dust213–110.0423%10 Jul
mirage16–14-0.0528%9 Jul
nuke13–50.098%9 Jul
nuke13–70.0213%8 Jul
inferno7–13-0.0012%8 Jul
office9–130.0322%8 Jul
mirage10–13-0.0614%6 Jul
mirage13–110.0022%6 Jul
nuke13–80.1022%5 Jul
mirage8–13-0.0622%5 Jul
inferno5–13-0.047%5 Jul
ancient4–13-0.0521%4 Jul
ancient16–13-0.027%4 Jul
ancient13–0-0.0121%4 Jul
overpass7–13-0.0113%3 Jul
ancient13–40.048%3 Jul
inferno13–80.0116%3 Jul
dust24–13-0.0622%3 Jul
dust210–13-0.0014%2 Jul
cache9–13-0.0419%2 Jul
overpass13–2-0.0310%2 Jul
inferno9–130.0015%30 Jun
nuke6–13-0.0517%30 Jun
ancient13–40.007%29 Jun
cache13–100.0820%29 Jun
ancient13–30.0511%28 Jun
inferno13–90.002%28 Jun
inferno13–6-0.0228%27 Jun
anubis13–60.0913%27 Jun
ancient13–16-0.0422%26 Jun
inferno7–13-0.0219%24 Jun
anubis13–0-0.030%24 Jun
inferno8–130.0215%23 Jun
dust29–13-0.0313%23 Jun
anubis15–150.0616%20 Jun
train13–40.0718%20 Jun
anubis10–13-0.0512%13 Jun

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →