armridder

armridder — CS2 Stats

76561198002108844[U:1:41843116]Steam profile ↗✓ No bans

367Tracked matches50%Win rate2020Tracked since
2,451Hours in CS
CSDB Rating5.1 DevelopingSupport
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify
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. 39 days played since 15 Apr 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 11,654 +4,129 24 Apr – 18 Jun · 23 days played
7,52512,922peak 12,92224 Apr18 Jun
12,962Peak Premier in tracked matches
39Days played since 2026-04-15

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 2 among CSDB-tracked players (n=5,902), 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 2 medianLevel 3 medianvs Level 3
Headshot rate43.2%41.3%41.8%above
Shot accuracy16.1%12.7%12.2%above
Kill/death ratio0.970.950.98meets
Match win rate36.6%42.6%43.3%6.6% short

This profile matches the typical Level 3 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGarmridderFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim38
Positioning47
Utility73

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateWWLLLLWWWW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −4.8pp headshot accuracy · +35ms reaction

Win rate +10pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 758ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 692ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 675ms

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 (+3.4 against its own average).

Aim3.8
Utility7.3
Positioning4.7
Opening Duels3.6
Clutch0.0

Effective flashes

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 59% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Strengths

Flashes. 0.86 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 704ms 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

Aim3.8
Positioning4.7
Utility7.3
Mechanics7.1
Opening Duels3.2
Win Impact5.0

Composite 5.1/10 (Developing), 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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time710ms+34ms
first ⅓ avg 675ms → last ⅓ avg 710ms
Headshot accuracy18.6%+1.2%
first ⅓ avg 17.3% → last ⅓ avg 18.6%

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

0.15Best match rating · 13–8 · dust2, 29 Aug →
32%Best headshot accuracy · 11–4 · inferno, 18 Jun →
445msFastest reaction time · 4–13 · mirage, 16 May →
13–1Biggest win · mirage, 13 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
8–4In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 67% over 6ancientWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C3614–2239%-0.02
nukeA2113–862%0.01
infernoC156–940%-0.02
overpassB84–450%-0.01
mirageA74–357%-0.01
cacheS64–267%-0.01
ancientD50–50%-0.01
vertigo—20–20%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

111,140Lifetime kills
0.97K/D · Top 50% of Level 2 players
5,600Matches
36.6%Match win rate
43.2%Headshot % · Top 50% of Level 2 players
16.1%Shot accuracy · Top 25% of Level 2 players
11,446MVPs
2,451Hours (in match)
4,187Bombs planted
1,148Bombs defused

Most-used weapons

AK-4722,870
AWP17,470
SG 5539,054
P2504,919
Tec-93,470
P903,064

Lifetime map wins

16,363dust2
8,337inferno
7,829nuke
587cbble
233train
126vertigo
80ar_shoots
53aztec

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

Faceit stats

Combat

545Matches
48%Win rate
0.95Avg K/D
50.1ADR
38%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke10%0.6416.0
Anubis10%0.5910.0

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.

18.2%Headshot accuracy
29.5%Accuracy (enemy spotted)
33.3%Spray accuracy
81.9%Counter-strafing
13.4°Preaim
704msReaction time
38.4%T opening success
47.3%CT opening success
0.86Enemies flashed / flash
11.3%Flash assists
11.19HE damage / grenade
15.52Flashes / 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 13.3645° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 704.4126ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Ancient

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–5-0.0513%8 Sept →
nuke13–30.057%8 Sept →
dust29–13-0.056%8 Sept →
inferno5–13-0.0821%4 Sept →
dust27–13-0.0119%4 Sept →
vertigo7–13-0.0113%4 Sept →
cache16–13-0.0323%1 Sept →
nuke13–50.0418%1 Sept →
dust213–30.0517%1 Sept →
inferno13–4-0.0013%29 Aug →
dust213–4-0.0219%29 Aug →
dust213–80.1514%29 Aug →
dust28–130.019%22 Aug →
overpass9–13-0.0118%22 Aug →
inferno14–160.0225%22 Aug →
cache13–11-0.0124%22 Aug →
inferno7–13-0.0519%7 Aug →
cache13–30.0124%7 Aug →
dust213–50.0220%7 Aug →
dust24–13-0.0225%4 Aug →
inferno3–13-0.0322%4 Aug →
nuke13–7-0.0321%18 Jul →
dust213–9-0.0225%18 Jul →
mirage5–13-0.0812%18 Jun →
nuke13–7-0.0119%18 Jun →
inferno11–40.0132%18 Jun →
dust20–13-0.089%18 Jun →
overpass2–13-0.0224%13 Jun →
nuke11–13-0.0514%13 Jun →
dust29–13-0.0415%13 Jun →
mirage13–10.0823%13 Jun →
nuke6–13-0.0531%10 Jun →
mirage13–11-0.0120%10 Jun →
nuke13–10-0.0111%9 Jun →
dust22–13-0.0817%9 Jun →
nuke0–3-0.010%9 Jun →
inferno9–13-0.0422%9 Jun →
dust213–11-0.0216%7 Jun →
ancient10–13-0.0231%6 Jun →
inferno13–40.0716%6 Jun →
dust213–10-0.0017%6 Jun →
nuke7–13-0.0313%6 Jun →
inferno13–4-0.0414%3 Jun →
nuke13–4-0.0325%3 Jun →
dust26–13-0.0828%3 Jun →
dust213–20.0323%30 May →
nuke15–150.0116%30 May →
nuke13–2-0.0015%30 May →
nuke13–80.0217%29 May →
ancient6–130.016%26 May →
dust212–16-0.0512%26 May →
dust25–13-0.095%26 May →
overpass16–14-0.0320%25 May →
dust215–15-0.0312%25 May →
nuke13–90.028%25 May →
mirage13–110.0120%23 May →
inferno9–13-0.0412%23 May →
dust213–20.089%23 May →
overpass13–9-0.0617%23 May →
nuke13–8-0.0227%23 May →
dust21–13-0.1017%20 May →
nuke3–130.0818%20 May →
ancient10–13-0.0025%20 May →
inferno13–40.0125%19 May →
nuke13–30.1219%19 May →
cache6–13-0.0612%19 May →
nuke3–13-0.0316%16 May →
dust29–130.0721%16 May →
mirage4–13-0.0320%16 May →
dust213–110.0316%15 May →
inferno13–100.067%15 May →
overpass4–130.0230%13 May →
inferno7–13-0.0119%13 May →
dust213–9-0.028%7 May →
cache11–130.0113%6 May →
inferno4–13-0.0617%6 May →
dust210–13-0.0312%6 May →
cache13–10.0419%6 May →
dust27–13-0.0418%5 May →
ancient6–13-0.0327%3 May →
inferno8–13-0.0526%2 May →
nuke10–13-0.0018%2 May →
ancient6–13-0.0114%2 May →
overpass13–11-0.0120%1 May →
dust29–13-0.0212%1 May →
mirage13–11-0.0211%1 May →
dust24–13-0.1118%30 Apr →
nuke13–20.0521%30 Apr →
dust213–40.0727%27 Apr →
overpass13–100.019%25 Apr →
dust28–13-0.0311%25 Apr →
dust211–13-0.027%24 Apr →
dust213–80.0320%24 Apr →
dust21–13-0.0722%20 Apr →
dust24–13-0.0424%18 Apr →
overpass8–13-0.0012%18 Apr →
vertigo12–12-0.0918%18 Apr →
nuke13–70.1217%16 Apr →
dust210–13-0.0017%16 Apr →
mirage4–13-0.0220%15 Apr →

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 →