Herman

Herman — CS2 Stats

KN76561198361294330[U:1:401028602]Steam profile ↗✓ No bans

364Tracked matches57%Win rate2021Tracked since
CSDB Rating6.7 SolidPositional Player
Premier CS Rating18,281Purple band · top ~15.3% of ranked players (population est.)
CSDB Leaderboard#93872 of 220315 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 364 tracked matches. Play, then come back: the next observation lands here.

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. 33 days played since 15 Jun 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 18,281 +657 15 Jun13 Sept · 18 days played
15,69418,891peak 18,89115 Jun13 Sept
18,891Peak Premier in tracked matches
33Days played since 2026-06-15

Premier CS Rating

  • 610 below peak (18,891)
  • +123 over 30 days · steady
  • +657 over 90 days
  • Next: Pink band at 20,000 1,719 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-09
  • Blue band first seen 2026-09-09

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGHermanFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER18,281 · Purple bandcsdb.gg/stats

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Performance scores

Aim87
Positioning53
Utility47

0–100 skill scores via Leetify.

Recent form

COLD57394Last 10057%Win rateLLWLWWLLLL

Last 10 vs previous 10: −40pp win rate · −0.03 avg rating · −2.6pp headshot accuracy · −35ms 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

  • 23 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 517ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 577ms

Last 20

  • 1010 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 595ms

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 against its own average).

Aim8.7
Utility4.7
Positioning5.3
Opening Duels3.9
Clutch3.4

Sharp aimerStrong 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

jL

Plays most like jL 90% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning profile; lower utility contribution.

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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 56% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 595ms 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

Aim8.7
Positioning5.3
Utility4.7
Mechanics8.4
Opening Duels3.3
Win Impact7.2

Composite 6.7/10 (Solid), 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 0.02 → last ⅓ avg 0.01
Reaction time590ms+25ms
first ⅓ avg 565ms → last ⅓ avg 590ms
Headshot accuracy15.1%−1.1%
first ⅓ avg 16.2% → last ⅓ avg 15.1%

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

0.16Best match rating · 13–6 · ancient, 17 Jun
38%Best headshot accuracy · 4–0 · office, 3 Jul
422msFastest reaction time · 13–8 · ancient, 2 Jul
13–0Biggest win · ancient, 17 Jul

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
93In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 76% over 21trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageC25111444%0.01
ancientS2116576%0.03
dust2A148657%0.03
cacheS128467%0.04
anubisC114736%0.01
nukeS64267%-0.01
trainD51420%-0.02
inferno32167%-0.03
overpass110100%0.03
office110100%0.13
vertigo110100%0.10

Across the last 100 tracked matches.

Faceit stats

Combat

52Matches
60%Win rate
1.14Avg K/D
86.2ADR
37%Headshot %

Clutches & streaks

37%1v1 clutch win
12%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1464%1.2817.4
Dust2956%1.1717.4
Ancient743%1.2217.7
Anubis757%1.0113.6
Inferno650%0.9214.7
Nuke580%1.0913.2
Overpass10%0.6813.0
Cache1100%1.4423.0

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.

15.3%Headshot accuracy
42.4%Accuracy (enemy spotted)
43.4%Spray accuracy
87.8%Counter-strafing
8.5°Preaim
595msReaction time
31.0%T opening success
55.5%CT opening success
0.69Enemies flashed / flash
10.4%Flash assists
5.19HE damage / grenade
6.62Flashes / 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

    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 30.9603% — below the 40% mark we flag

Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.0620%29 Aug
mirage0–7-0.0411%26 Aug
mirage13–40.0221%25 Aug
anubis1–13-0.0611%20 Aug
inferno13–11-0.0019%20 Aug
mirage13–60.0710%18 Aug
dust29–130.0410%12 Aug
cache4–13-0.0418%12 Aug
dust24–130.0518%10 Aug
ancient4–13-0.0812%9 Aug
mirage13–70.0316%3 Aug
ancient13–60.1119%3 Aug
mirage9–13-0.0317%2 Aug
nuke13–6-0.0618%2 Aug
mirage13–70.0313%30 Jul
mirage13–7-0.0324%29 Jul
nuke13–110.0916%29 Jul
anubis6–13-0.0618%29 Jul
mirage3–70.0723%29 Jul
inferno13–90.0313%24 Jul
cache13–8-0.0013%24 Jul
dust213–90.0720%24 Jul
ancient13–90.1110%22 Jul
dust213–30.0721%22 Jul
ancient13–00.0114%17 Jul
dust26–13-0.088%13 Jul
mirage13–90.036%13 Jul
nuke8–130.0111%13 Jul
mirage8–13-0.0117%13 Jul
mirage13–60.0514%13 Jul
ancient13–6-0.0114%13 Jul
cache9–13-0.0419%12 Jul
ancient13–40.074%12 Jul
train1–7-0.130%12 Jul
mirage13–90.0318%12 Jul
mirage13–9-0.0115%11 Jul
mirage5–130.0915%11 Jul
dust25–130.0115%11 Jul
mirage3–10-0.0413%11 Jul
ancient7–13-0.0115%11 Jul
ancient13–40.0215%11 Jul
anubis13–50.0619%7 Jul
train8–13-0.0322%7 Jul
ancient13–50.0422%7 Jul
dust213–00.0317%7 Jul
ancient13–6-0.0716%7 Jul
cache13–100.0719%7 Jul
ancient13–110.0213%6 Jul
overpass6–40.0325%6 Jul
cache13–110.0610%6 Jul
anubis9–130.0111%6 Jul
ancient13–70.1320%6 Jul
dust25–130.0123%6 Jul
nuke12–12-0.0020%6 Jul
mirage13–00.0913%3 Jul
dust210–130.0511%3 Jul
train11–130.0519%3 Jul
cache13–90.0715%3 Jul
nuke5–1-0.0633%3 Jul
office4–00.1338%3 Jul
anubis2–13-0.0317%3 Jul
mirage5–13-0.0422%3 Jul
ancient7–130.0511%3 Jul
vertigo13–110.1014%2 Jul
cache12–120.0722%2 Jul
nuke13–4-0.0214%2 Jul
ancient13–80.0320%2 Jul
mirage10–13-0.0422%2 Jul
anubis13–30.0229%2 Jul
ancient13–5-0.005%2 Jul
anubis13–40.0210%1 Jul
ancient13–10-0.0019%1 Jul
ancient13–40.0213%30 Jun
mirage3–130.0428%30 Jun
mirage9–13-0.0217%29 Jun
mirage8–130.0312%29 Jun
train6–130.0017%28 Jun
inferno7–13-0.1118%24 Jun
dust216–14-0.0112%24 Jun
cache13–110.0110%23 Jun
dust212–80.0613%23 Jun
dust213–70.0118%23 Jun
anubis8–13-0.0418%22 Jun
dust213–80.0124%22 Jun
anubis12–12-0.0212%18 Jun
mirage13–4-0.056%18 Jun
anubis13–10.1624%17 Jun
cache13–20.1626%17 Jun
ancient13–11-0.009%17 Jun
anubis5–130.0111%17 Jun
train13–70.0121%17 Jun
cache13–100.0312%17 Jun
ancient13–60.1620%17 Jun
ancient9–130.0026%17 Jun
cache11–130.0014%17 Jun
cache13–90.0418%16 Jun
ancient12–120.0320%16 Jun
mirage2–13-0.0710%16 Jun
mirage9–130.0613%15 Jun
dust213–30.1210%15 Jun

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →