Helmut Lotto

Helmut Lotto — CS2 Stats

76561198199850871[U:1:239585143]Steam profile ↗✓ No bans

1,089Tracked matches59%Win rate2020Tracked since
CSDB Rating7.0 StrongSupport
Premier CS Rating20,110Top 50% of 211,308 CSDB-tracked playersPink band · top ~8.4% of ranked players (population est.)
CSDB Leaderboard#81015 of 258295 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+110Premier CS Rating · 20,000 → 20,110

Rating over time

Premier CS Rating: 20,110 +4,638 4 Nov – 28 Oct · 36 days played
15,00020,748peak 20,7484 Nov28 Oct
21,040Peak Premier in tracked matches
41Days played since 2024-11-04

Premier CS Rating

  • 638 below peak (20,748)
  • Next: Red band at 25,000 — 4,890 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGHelmut LottoPREMIER20,110 · Pink bandcsdb.gg/stats

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Performance scores

Aim77
Positioning63
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY56–40–4Last 10056%Win rateWLWWLWTLWL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +3.1pp headshot accuracy · +2ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 472ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 529ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 528ms

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: Support — Utility contribution stands above the rest of this profile (+1.2 against its own average).

Aim7.7
Utility6.9
Positioning6.3
Opening Duels3.8

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

NiKo

Plays most like NiKo 88% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.7
Positioning6.3
Utility6.9
Mechanics6.6
Opening Duels4.5
Win Impact7.9

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time533ms−32ms
first ⅓ avg 566ms → last ⅓ avg 533ms
Headshot accuracy17.8%−1.0%
first ⅓ avg 18.8% → last ⅓ avg 17.8%

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

0.18Best match rating · 13–6 · ancient, 7 Oct →
47%Best headshot accuracy · 13–6 · ancient, 4 Nov →
375msFastest reaction time · 13–6 · ancient, 7 Oct →
13–0Biggest win · anubis, 5 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–6In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 87% over 15anubisWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
infernoA3320–1361%0.03
ancientS1513–287%0.04
anubisC135–838%0.00
dust2C125–742%0.04
vertigoC104–640%0.02
mirageC94–544%-0.02
nuke—44–0100%-0.02
cache—31–233%-0.06
overpass—10–10%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.6%Headshot accuracy
36.6%Accuracy (enemy spotted)
41.5%Spray accuracy
79.8%Counter-strafing
10.8°Preaim
521msReaction time
46.9%T opening success
48.7%CT opening success
0.54Enemies flashed / flash
5.0%Flash assists
11.19HE damage / grenade
15.93Flashes / match

Recommended for you

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.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–8-0.0215%28 Oct →
ancient9–130.0316%27 Oct →
cache16–14-0.0217%25 Oct →
dust213–110.0625%25 Oct →
inferno9–13-0.059%22 Oct →
dust213–50.1020%22 Oct →
inferno15–150.0323%22 Oct →
dust211–130.0133%21 Oct →
ancient13–50.0818%21 Oct →
mirage3–13-0.0013%20 Oct →
inferno13–100.0417%20 Oct →
cache7–13-0.0824%19 Oct →
inferno13–80.1715%19 Oct →
anubis5–13-0.0220%15 Oct →
mirage8–13-0.0210%15 Oct →
dust213–40.1130%15 Oct →
dust213–16-0.0215%13 Oct →
ancient16–130.058%13 Oct →
ancient13–20.026%13 Oct →
cache0–13-0.0813%13 Oct →
ancient7–13-0.0111%11 Oct →
dust211–13-0.0321%11 Oct →
inferno13–80.0814%11 Oct →
inferno13–40.0313%7 Oct →
ancient13–60.188%7 Oct →
ancient13–30.0518%7 Oct →
ancient13–80.0111%7 Oct →
nuke13–9-0.1020%7 Oct →
dust25–13-0.0229%5 Oct →
nuke13–30.0638%5 Oct →
anubis13–00.0213%5 Oct →
dust28–13-0.0228%5 Oct →
ancient16–130.0316%5 Oct →
inferno13–90.067%3 Oct →
dust211–130.0331%16 Mar →
inferno9–130.0525%16 Mar →
inferno13–80.0120%27 Jan →
overpass11–13-0.0314%7 Nov →
nuke13–4-0.0214%7 Nov →
mirage14–16-0.0319%2 Jan →
ancient13–11-0.0514%30 Dec →
mirage13–10-0.0313%30 Dec →
anubis13–70.0414%29 Dec →
inferno7–13-0.0439%29 Dec →
mirage9–13-0.0611%29 Dec →
mirage13–80.0219%29 Dec →
vertigo13–8-0.0312%29 Dec →
inferno10–130.0026%23 Dec →
inferno13–40.0522%23 Dec →
inferno13–10.0936%23 Dec →
anubis9–13-0.0019%23 Dec →
ancient13–90.0624%22 Dec →
inferno13–8-0.0422%22 Dec →
nuke13–10-0.028%20 Dec →
vertigo13–60.0524%20 Dec →
inferno7–130.0134%19 Dec →
inferno9–130.0415%19 Dec →
vertigo6–130.0214%18 Dec →
inferno0–13-0.0128%18 Dec →
inferno13–110.0320%16 Dec →
anubis9–130.0217%16 Dec →
dust213–80.1118%16 Dec →
inferno16–140.0616%14 Dec →
vertigo10–130.0319%14 Dec →
inferno13–60.0312%12 Dec →
inferno4–13-0.0120%12 Dec →
anubis13–70.0314%11 Dec →
anubis13–90.0211%10 Dec →
anubis13–70.0115%10 Dec →
vertigo13–30.0813%10 Dec →
inferno13–160.0529%9 Dec →
inferno13–60.0815%9 Dec →
dust211–00.1018%9 Dec →
vertigo5–13-0.0617%9 Dec →
inferno13–70.0512%9 Dec →
mirage13–11-0.0115%8 Dec →
anubis15–150.0321%8 Dec →
vertigo13–90.006%2 Dec →
anubis15–150.0314%2 Dec →
vertigo9–130.0014%29 Nov →
anubis10–13-0.0124%29 Nov →
vertigo6–130.0126%29 Nov →
dust211–130.0218%27 Nov →
inferno13–110.0522%27 Nov →
inferno13–4-0.0115%24 Nov →
ancient13–10-0.0116%24 Nov →
inferno13–90.0521%24 Nov →
inferno7–130.0118%21 Nov →
anubis4–13-0.0314%21 Nov →
ancient13–40.1629%21 Nov →
inferno7–13-0.0213%13 Nov →
ancient13–110.0222%13 Nov →
inferno15–150.0318%12 Nov →
mirage9–13-0.0332%12 Nov →
anubis13–16-0.086%7 Nov →
vertigo13–160.0823%7 Nov →
inferno13–11-0.0712%5 Nov →
inferno13–70.0231%5 Nov →
ancient13–6-0.0747%4 Nov →
mirage13–20.0215%4 Nov →

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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