Ehrhon

Ehrhon — CS2 Stats

US76561198056712366[U:1:96446638]Steam profile ↗✓ No bans

597Tracked matches33%Win rate2023Tracked since
423Hours in CS5Hrs last 2 wks
CSDB Rating2.2 Learning
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGEhrhonFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim17
Positioning46
Utility17

0–100 skill scores via Leetify.

Recent form

STEADY42535Last 10042%Win rateWWLWLWLWLL

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

Aim1.7
Aggression3.6
Utility1.7
Positioning4.6
Opening Duels0.4
Clutch0.0

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 67% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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. 657ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim1.7
Positioning4.6
Utility1.7
Mechanics3.2
Opening Duels0.5
Win Impact0.0

Composite 2.2/10 (Learning), 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-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time673ms+11ms
first ⅓ avg 662ms → last ⅓ avg 673ms
Headshot accuracy11.3%+0.9%
first ⅓ avg 10.5% → last ⅓ avg 11.3%

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

0.14Best rating — dust2 13–2
132Biggest win — mirage
7Longest win streak
W2Current streak
98In matches decided by ≤2 rounds
15Overtime games

Map breakdown

ancientBest map · 69% over 13infernoWeakest map · 21% over 19
MapGradePlayedRecordWin rateAvg rating
dust2B23111248%-0.03
infernoD1941521%-0.02
ancientS139469%-0.03
mirageD124833%-0.04
trainD93633%-0.02
nukeB84450%-0.04
anubis42250%-0.05
cache31233%-0.06
vertigo32167%-0.02
overpass31233%-0.05
golden21150%0.03
palacio1010%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (21% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,248Lifetime kills
0.75K/D
682Matches
39.1%Match win rate
33.7%Headshot %
3.8%Shot accuracy
812MVPs
219Hours (in match)
579Bombs planted
76Bombs defused

Most-used weapons

Lifetime map wins

1,072dust2
737vertigo
672inferno
482nuke
220office
183train
1cbble

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

Faceit stats

Combat

6Matches
17%Win rate
0.63Avg K/D
56.7ADR
33%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient250%0.5813.5
Mirage10%0.7915.0
Vertigo10%0.5910.0
Dust210%0.509.0
Train10%0.7213.0

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.

10.8%Headshot accuracy
24.4%Accuracy (enemy spotted)
30.3%Spray accuracy
64.5%Counter-strafing
12.0°Preaim
657msReaction time
28.5%T opening success
34.3%CT opening success
0.37Enemies flashed / flash
3.4%Flash assists
7.06HE damage / grenade
1.62Flashes / 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 12.0328° — 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 10.846% — 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 0.3656 — below the 0.5 mark we flag

    Grenade Lineups
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.

21% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–50.019%25 Aug
nuke13–9-0.083%25 Aug
inferno7–130.016%23 Aug
nuke16–12-0.0315%23 Aug
ancient6–13-0.0710%21 Aug
cache13–10-0.085%21 Aug
ancient8–13-0.069%16 Aug
anubis13–6-0.0315%15 Aug
mirage8–13-0.088%14 Aug
cache10–13-0.0318%9 Aug
inferno9–13-0.038%25 Jun
dust214–16-0.0718%18 Jun
nuke16–14-0.0111%7 Jun
inferno10–13-0.0513%4 Jun
anubis11–13-0.079%31 May
inferno5–13-0.0929%31 May
nuke8–13-0.0715%29 May
inferno11–13-0.0313%26 May
cache3–13-0.088%2 May
ancient13–6-0.032%22 Apr
ancient13–60.020%11 Apr
inferno7–13-0.057%7 Apr
mirage13–100.0319%7 Apr
nuke1–7-0.0750%5 Apr
train0–13-0.104%22 Mar
dust25–13-0.094%22 Mar
inferno7–130.016%10 Mar
dust213–11-0.0113%7 Feb
dust28–13-0.0413%4 Feb
dust210–13-0.0710%27 Jan
anubis13–10-0.026%26 Jan
mirage10–13-0.0712%21 Jan
dust210–13-0.037%21 Jan
ancient13–11-0.0419%18 Jan
dust29–13-0.0712%18 Jan
mirage13–2-0.0311%18 Jan
train13–7-0.008%21 Dec
ancient16–14-0.0410%21 Dec
dust213–20.1419%20 Dec
vertigo13–4-0.013%20 Dec
vertigo0–13-0.090%20 Dec
inferno13–6-0.047%17 Nov
dust211–13-0.049%14 Nov
inferno13–7-0.010%13 Nov
inferno13–16-0.033%9 Nov
dust216–14-0.049%8 Nov
mirage4–13-0.0315%3 Nov
dust213–7-0.0214%3 Nov
overpass11–13-0.0412%30 Oct
mirage15–15-0.0410%26 Oct
nuke13–50.0313%24 Oct
ancient13–8-0.016%24 Oct
train6–13-0.035%22 Oct
train4–13-0.068%22 Oct
golden7–130.016%20 Oct
golden10–40.057%20 Oct
palacio5–13-0.0110%20 Oct
dust211–13-0.0214%19 Oct
mirage9–13-0.085%9 Oct
dust26–13-0.068%9 Oct
overpass5–13-0.124%23 Sept
dust213–20.0111%12 Sept
train13–8-0.013%12 Sept
overpass13–90.026%11 Sept
inferno15–15-0.032%11 Sept
dust210–13-0.0413%10 Sept
train8–13-0.0315%8 Sept
inferno13–10-0.027%8 Sept
mirage10–13-0.037%4 Sept
inferno4–13-0.0410%4 Sept
mirage13–3-0.078%3 Sept
nuke6–13-0.066%1 Sept
ancient13–11-0.0210%28 Aug
inferno11–13-0.035%27 Aug
dust215–15-0.088%25 Aug
inferno15–15-0.0612%25 Aug
nuke8–13-0.0110%24 Aug
ancient13–11-0.039%24 Aug
dust213–7-0.058%24 Aug
train5–00.0717%24 Aug
dust213–10-0.018%8 Aug
dust213–11-0.057%8 Aug
vertigo13–100.0410%27 Jul
dust213–20.059%27 Jul
mirage8–13-0.049%6 Jul
inferno13–16-0.0357%4 Jul
ancient13–16-0.028%4 Jul
dust216–130.028%29 Jun
ancient3–13-0.1312%29 Jun
mirage3–13-0.0315%28 Jun
dust27–00.030%28 Jun
anubis11–13-0.068%28 Jun
train4–13-0.059%28 Jun
ancient16–140.0112%22 Jun
dust29–13-0.0712%22 Jun
inferno15–150.004%5 Jun
ancient13–7-0.0312%30 May
inferno13–70.0410%30 May
train9–13-0.009%29 May
inferno10–130.0210%29 May

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 →