Otterich

Otterich — CS2 Stats

DE76561197995644521[U:1:35378793]Steam profile ↗✓ No bans

1,630Tracked matches57%Win rate2020Tracked since
3,115Hours in CS3Hrs last 2 wks
CSDB Rating4.8 DevelopingAll-Rounder
Premier CS Rating11,155Blue band · top ~48.8% of ranked players (population est.)
FaceitLevel 5 · 980 ELOTop 67.6% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 11,155 -2,677 22 May – 12 Nov · 33 days played
10,00014,718peak 14,71822 May12 Nov
14,946Peak Premier in tracked matches
980Highest Faceit ELO seen on CSDB
42Days played since 2026-05-22

Faceit ELO

  • At peak — 980
  • Next: Level 5 at 1,051 — 71 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-10-04
  • Level 3 first seen 2026-10-04

Premier CS Rating

  • 3,563 below peak (14,718)
  • +524 over 30 days · improving
  • -2,337 over 90 days
  • Next: Purple band at 15,000 — 3,845 to go
  • Reached: Blue band · Light Blue band

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.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 rate51.0%43.8%44.8%above
Shot accuracy14.4%12.0%12.4%above
Kill/death ratio0.701.021.030.33 short
Match win rate42.7%44.7%45.2%2.6% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. 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.GGOtterichFACEITLevel 5 · 980 ELOSTANDINGTop 67.6% of rankedPREMIER11,155 · Blue bandPEAK ELO980csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim54
Positioning51
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY45–53–2Last 10045%Win rateWWWWWLLWLL

Last 10 vs previous 10: +20pp win rate · −0.03 avg rating · −1.4pp headshot accuracy · −70ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 559ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 586ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 621ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.4
Utility4.5
Positioning5.1
Opening Duels4.9
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.

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

device

Plays most like device 89% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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 56% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 634ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim5.4
Positioning5.1
Utility4.5
Mechanics4.1
Opening Duels4.4
Win Impact7.2

Composite 4.8/10 (Developing), 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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time634ms+37ms
first ⅓ avg 596ms → last ⅓ avg 634ms
Headshot accuracy20.6%−0.2%
first ⅓ avg 20.7% → last ⅓ avg 20.6%

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

0.14Best match rating · 13–9 · mirage, 16 Jul →
52%Best headshot accuracy · 5–13 · mirage, 9 Jul →
406msFastest reaction time · 13–7 · ancient, 14 Jun →
13–1Biggest win · inferno, 12 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W5Current streak
5–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 67% over 18dust2Weakest map · 30% over 30
MapGradePlayedRecordWin rateAvg rating
dust2D309–2130%-0.01
mirageC219–1243%0.02
infernoS1812–667%0.02
ancientB137–654%-0.00
anubisD93–633%-0.01
cache—32–167%-0.03
nuke—31–233%0.00
office—22–0100%-0.09
italy—10–10%-0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (30% over 30). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

81,068Lifetime kills
0.70K/D
3,022Matches
42.7%Match win rate
51.0%Headshot % · Top 25% of Level 5 players
14.4%Shot accuracy · Top 50% of Level 5 players
5,858MVPs
3,319Hours (in match)
2,277Bombs planted
553Bombs defused

Most-used weapons

AK-4726,514
AWP16,863
SSG 081,483
FAMAS1,121
Knife1,072

Lifetime map wins

5,439inferno
4,426dust2
1,369train
957nuke
701vertigo
51office
37cbble
23italy

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

Faceit stats

Combat

1,033Matches
49%Win rate
0.89Avg K/D
66.3ADR
38%Headshot %

Clutches & streaks

40%1v1 clutch win
17%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage9650%0.8313.1
Anubis5450%0.8614.7
Dust24455%0.9014.7
Ancient3554%0.8513.1
Inferno1765%0.8613.7
Overpass956%0.6912.8
Vertigo520%0.9316.2
Nuke520%0.599.0

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.

20.5%Headshot accuracy
33.8%Accuracy (enemy spotted)
31.1%Spray accuracy
68.7%Counter-strafing
9.8°Preaim
634msReaction time
38.9%T opening success
56.3%CT opening success
0.58Enemies flashed / flash
5.1%Flash assists
8.31HE damage / grenade
6.31Flashes / 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 38.9055% — below the 40% mark we flag

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.

30% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–10.0619%12 Nov →
anubis13–70.0516%12 Nov →
inferno9–30.0632%12 Nov →
office13–9-0.0824%30 Oct →
office13–10-0.0918%28 Oct →
cache10–13-0.1010%25 Oct →
nuke7–13-0.0124%25 Oct →
inferno13–100.0220%16 Oct →
dust212–16-0.0111%3 Oct →
mirage6–13-0.0613%4 Aug →
dust28–13-0.0417%25 Jul →
mirage5–130.1117%25 Jul →
dust213–40.0333%25 Jul →
inferno13–70.0120%24 Jul →
dust22–13-0.048%24 Jul →
anubis16–130.0317%21 Jul →
mirage13–60.0528%18 Jul →
dust211–13-0.0320%18 Jul →
inferno4–130.0121%18 Jul →
dust23–13-0.0420%18 Jul →
ancient13–110.0119%18 Jul →
mirage13–110.0012%17 Jul →
ancient13–60.0818%17 Jul →
dust28–130.0516%17 Jul →
mirage13–90.1434%16 Jul →
anubis9–13-0.0122%16 Jul →
anubis13–20.1018%16 Jul →
inferno13–110.0432%15 Jul →
cache13–10-0.0429%11 Jul →
dust213–11-0.0419%11 Jul →
dust210–130.0039%11 Jul →
inferno4–130.0222%10 Jul →
mirage6–13-0.0612%10 Jul →
cache13–80.0428%10 Jul →
ancient13–2-0.0215%10 Jul →
inferno13–7-0.0515%10 Jul →
dust213–70.0613%9 Jul →
inferno13–3-0.0323%9 Jul →
mirage8–13-0.0129%9 Jul →
mirage5–130.0952%9 Jul →
dust28–130.0015%8 Jul →
dust213–90.0623%8 Jul →
mirage11–130.0422%5 Jul →
dust211–130.0132%29 Jun →
anubis9–13-0.0720%29 Jun →
ancient14–160.0122%29 Jun →
mirage8–130.0821%28 Jun →
inferno7–13-0.0417%28 Jun →
dust26–13-0.0925%28 Jun →
mirage13–7-0.058%28 Jun →
dust26–13-0.0538%28 Jun →
dust211–13-0.0217%27 Jun →
ancient7–130.0222%25 Jun →
nuke13–100.0218%25 Jun →
dust212–12-0.0414%23 Jun →
italy10–13-0.109%23 Jun →
mirage6–130.0224%23 Jun →
inferno10–130.0123%22 Jun →
inferno13–80.0116%22 Jun →
ancient13–90.0218%22 Jun →
dust214–160.0221%21 Jun →
dust27–130.0244%20 Jun →
dust213–8-0.0213%20 Jun →
dust26–13-0.0223%19 Jun →
ancient7–13-0.0210%19 Jun →
mirage10–130.0025%18 Jun →
mirage15–150.0721%18 Jun →
inferno8–130.0429%18 Jun →
mirage9–13-0.0228%14 Jun →
ancient13–7-0.0118%14 Jun →
mirage14–160.0521%13 Jun →
inferno9–13-0.0217%13 Jun →
ancient16–130.0321%12 Jun →
nuke2–130.000%11 Jun →
inferno13–80.0429%6 Jun →
mirage13–10-0.0910%6 Jun →
ancient6–13-0.0815%6 Jun →
anubis6–13-0.0612%5 Jun →
dust213–10-0.0210%5 Jun →
ancient3–13-0.1033%5 Jun →
inferno16–130.0716%4 Jun →
anubis7–130.0016%4 Jun →
dust213–100.0321%4 Jun →
anubis4–13-0.0517%4 Jun →
inferno13–20.0621%4 Jun →
dust24–13-0.0713%4 Jun →
mirage13–50.0036%3 Jun →
ancient10–13-0.0613%3 Jun →
dust29–13-0.0922%2 Jun →
dust213–7-0.0350%2 Jun →
mirage16–140.0216%1 Jun →
dust28–13-0.0518%30 May →
inferno13–8-0.0133%30 May →
mirage13–100.0035%30 May →
dust213–7-0.039%30 May →
dust27–13-0.0328%25 May →
mirage13–4-0.0119%25 May →
anubis9–13-0.0618%25 May →
dust210–130.0423%22 May →
ancient13–80.0818%22 May →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.