Richter Alexander Hold

Richter Alexander Hold — CS2 Stats

DE76561198140799328[U:1:180533600]Steam profile ↗✓ No bans

1,417Tracked matches55%Win rate2020Tracked since
1,183Hours in CS
CSDB Rating5.8 SolidSupport
Premier CS Rating15,105Purple band · top ~28% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (5 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: 15,105 -2,303 25 Jul – 30 Oct · 37 days played
12,18117,408peak 17,40825 Jul30 Oct
17,408Peak Premier in tracked matches
36Days played since 2026-07-25

Premier CS Rating

  • 2,303 below peak (17,408)
  • +1,763 over 30 days · improving
  • -889 over 90 days
  • Next: Pink band at 20,000 — 4,895 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-06
  • Light Blue band first seen 2026-09-06

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

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 rate43.2%43.8%44.8%1.6% short
Shot accuracy9.5%12.0%12.4%3.0% short
Kill/death ratio0.741.021.030.29 short
Match win rate44.0%44.7%45.2%1.2% short

This profile sits below the typical Level 6 player on every metric we can compare.

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.GGRichter Alexander HoldFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER15,105 · Purple bandcsdb.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
Positioning55
Utility60

0–100 skill scores via Leetify.

Recent form

HOT43–52–5Last 10043%Win rateWWWWTWWWLL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · −3.3pp headshot accuracy · +73ms reaction

Win rate up 30pp 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

  • 4–0–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 736ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 691ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 655ms

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).

Aim5.4
Utility6.0
Positioning5.5
Opening Duels3.3
Clutch4.6

Effective flashesLimited utility dependence

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 74% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Strengths

Flashes. 0.87 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 660ms 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

Aim5.4
Positioning5.5
Utility6.0
Mechanics6.5
Opening Duels5.0
Win Impact6.7

Composite 5.8/10 (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 rating-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time655ms−12ms
first ⅓ avg 667ms → last ⅓ avg 655ms
Headshot accuracy17.9%−3.3%
first ⅓ avg 21.2% → last ⅓ avg 17.9%

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

0.11Best match rating · 13–6 · ancient, 28 Oct →
65%Best headshot accuracy · 13–5 · cache, 25 Aug →
430msFastest reaction time · 8–13 · inferno, 10 Oct →
13–1Biggest win · anubis, 25 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W4Current streak
6–6In matches decided by ≤2 rounds
15Overtime games

Map breakdown

anubisBest map · 63% over 8mirageWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
dust2C218–1338%-0.02
cacheC177–1041%-0.02
ancientC167–944%-0.01
mirageD154–1127%-0.03
infernoB137–654%-0.02
nukeB105–550%-0.04
anubisA85–363%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 15). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

39,675Lifetime kills
0.74K/D
2,999Matches
44.0%Match win rate
43.2%Headshot %
9.5%Shot accuracy
5,511MVPs
1,183Hours (in match)
2,232Bombs planted
325Bombs defused

Most-used weapons

Lifetime map wins

6,857office
5,471inferno
3,083dust2
1,509vertigo
1,480nuke
256train
148lake
114cbble

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

Faceit stats

Combat

25Matches
48%Win rate
0.75Avg K/D
61.7ADR
45%Headshot %

Clutches & streaks

43%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust2875%0.9612.0
Anubis743%0.7210.1
Inferno520%0.5510.0
Nuke10%0.397.0
Overpass10%0.5712.0
Mirage1100%0.5610.0
Vertigo10%0.507.0
Cache1100%1.1813.0

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.

18.0%Headshot accuracy
31.6%Accuracy (enemy spotted)
33.8%Spray accuracy
79.3%Counter-strafing
10.2°Preaim
660msReaction time
54.0%T opening success
45.7%CT opening success
0.87Enemies flashed / flash
11.1%Flash assists
11.87HE damage / grenade
4.00Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.9952 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–6-0.0324%30 Oct →
mirage13–6-0.0218%30 Oct →
cache13–8-0.0523%29 Oct →
ancient13–60.1115%28 Oct →
nuke15–15-0.0716%27 Oct →
anubis13–10.1012%25 Oct →
nuke16–14-0.0513%24 Oct →
dust212–90.0119%23 Oct →
ancient4–13-0.0714%21 Oct →
mirage8–13-0.0612%10 Oct →
inferno13–9-0.0313%10 Oct →
inferno9–13-0.0522%10 Oct →
mirage13–8-0.0126%10 Oct →
inferno8–13-0.1013%10 Oct →
inferno9–13-0.0333%10 Oct →
anubis13–7-0.0828%10 Oct →
dust210–13-0.0413%10 Oct →
ancient3–13-0.1113%10 Oct →
dust27–13-0.0411%10 Oct →
ancient13–60.1029%9 Oct →
dust216–12-0.0223%9 Oct →
ancient13–9-0.0118%9 Oct →
dust28–13-0.0518%9 Oct →
cache13–6-0.0634%9 Oct →
dust213–10-0.0510%9 Oct →
dust26–13-0.0411%9 Oct →
cache6–13-0.0420%9 Oct →
ancient13–9-0.0016%8 Oct →
mirage5–13-0.096%8 Oct →
nuke10–13-0.0415%3 Oct →
dust216–13-0.0221%30 Sept →
dust213–11-0.0217%27 Sept →
dust213–11-0.0414%27 Sept →
dust213–7-0.0113%27 Sept →
cache8–13-0.0131%20 Sept →
mirage7–13-0.0125%19 Sept →
dust29–13-0.0531%12 Sept →
ancient7–13-0.0617%2 Sept →
cache13–110.0321%2 Sept →
ancient8–13-0.0115%2 Sept →
dust25–13-0.0440%2 Sept →
inferno7–13-0.0314%31 Aug →
mirage15–15-0.049%31 Aug →
mirage6–13-0.0314%30 Aug →
nuke16–140.0321%30 Aug →
dust24–13-0.0610%28 Aug →
cache11–13-0.0523%28 Aug →
inferno13–60.0112%28 Aug →
mirage5–13-0.0614%28 Aug →
anubis13–3-0.0015%28 Aug →
dust29–130.0137%27 Aug →
mirage3–13-0.0619%27 Aug →
dust214–16-0.0215%26 Aug →
ancient16–130.0119%25 Aug →
ancient8–13-0.0213%25 Aug →
cache13–50.0465%25 Aug →
cache13–16-0.0618%25 Aug →
inferno13–70.0324%24 Aug →
ancient13–16-0.0616%22 Aug →
ancient16–12-0.0425%22 Aug →
inferno13–8-0.0333%22 Aug →
nuke13–8-0.0523%21 Aug →
dust27–13-0.0221%21 Aug →
inferno11–13-0.0519%21 Aug →
dust215–150.0440%21 Aug →
nuke11–13-0.0225%18 Aug →
anubis3–13-0.0725%18 Aug →
anubis7–13-0.0630%17 Aug →
mirage6–13-0.0116%17 Aug →
cache11–13-0.0418%17 Aug →
inferno13–20.0333%17 Aug →
nuke6–13-0.0221%17 Aug →
dust24–1-0.0030%17 Aug →
cache13–9-0.0530%17 Aug →
cache4–130.0214%16 Aug →
nuke13–10-0.0117%16 Aug →
mirage9–13-0.0315%16 Aug →
dust215–150.0325%16 Aug →
ancient5–13-0.0410%15 Aug →
cache9–130.0231%15 Aug →
inferno13–8-0.029%15 Aug →
anubis13–7-0.0010%15 Aug →
cache13–50.1026%15 Aug →
inferno13–9-0.0324%15 Aug →
cache13–10-0.0230%14 Aug →
ancient16–130.0620%14 Aug →
mirage13–110.0316%14 Aug →
anubis9–13-0.0424%14 Aug →
cache9–13-0.0814%29 Jul →
mirage11–13-0.0121%27 Jul →
ancient13–16-0.0617%26 Jul →
mirage8–13-0.0222%26 Jul →
nuke13–10-0.0529%26 Jul →
cache1–13-0.0447%26 Jul →
anubis13–60.0212%26 Jul →
ancient9–13-0.0417%26 Jul →
inferno8–80.0213%26 Jul →
nuke5–13-0.1112%26 Jul →
dust27–130.0218%26 Jul →
cache8–13-0.0628%25 Jul →

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.