Rogild

Rogild — CS2 Stats

DK76561198415181920[U:1:454916192]Steam profile ↗✓ No bans

460Tracked matches43%Win rate2025Tracked since
966Hours in CS18Hrs last 2 wks
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating12,509Blue band · top ~41.6% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (4 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: 12,509 +2,026 6 Aug – 30 Oct · 30 days played
9,22212,682peak 12,6826 Aug30 Oct
12,801Peak Premier in tracked matches
45Days played since 2026-08-06

Premier CS Rating

  • 173 below peak (12,682)
  • +1,673 over 30 days · improving
  • +2,026 over 90 days
  • Next: Purple band at 15,000 — 2,491 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.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate35.4%42.7%43.8%8.4% short
Shot accuracy0.0%11.2%12.0%12.0% short
Kill/death ratio0.920.991.020.10 short
Match win rate38.4%43.9%44.7%6.3% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRogildFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER12,509 · Blue 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

Aim64
Positioning60
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY40–56–4Last 10040%Win rateLLWLWWLLWW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +0.0pp headshot accuracy · +39ms 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 -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 741ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 10%
  • Avg reaction 693ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 674ms

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 Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim6.4
Utility4.6
Positioning6.0
Opening Duels3.2

Limited 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

Twistzz

Plays most like Twistzz 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Reaction time. 666ms 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

Aim6.4
Positioning6.0
Utility4.6
Mechanics7.4
Opening Duels4.9
Win Impact2.8

Composite 5.4/10 (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 rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time674ms−5ms
first ⅓ avg 679ms → last ⅓ avg 674ms
Headshot accuracy10.5%+1.3%
first ⅓ avg 9.2% → last ⅓ avg 10.5%

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

0.09Best match rating · 12–12 · inferno, 6 Sept →
22%Best headshot accuracy · 13–7 · cache, 31 Aug →
500msFastest reaction time · 3–13 · dust2, 26 Aug →
13–1Biggest win · dust2, 24 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
4–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 50% over 6ancientWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
infernoB2913–1645%0.01
mirageC176–1135%-0.01
anubisC135–838%-0.02
ancientD133–1023%0.01
nukeB136–746%-0.01
dust2C94–544%-0.03
cacheB63–350%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,609Lifetime kills
0.92K/D
1,004Matches
38.4%Match win rate
35.4%Headshot %
0.0%Shot accuracy
1,745MVPs
359Hours (in match)
1,065Bombs planted
206Bombs defused

Most-used weapons

Lifetime map wins

1,548dust2
1,341inferno
1,142nuke
374train
29vertigo
21lake
17ar_shoots
6assault

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

Skill profile

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

10.3%Headshot accuracy
38.8%Accuracy (enemy spotted)
36.4%Spray accuracy
83.1%Counter-strafing
8.9°Preaim
666msReaction time
56.0%T opening success
43.4%CT opening success
0.63Enemies flashed / flash
10.3%Flash assists
11.97HE damage / grenade
2.46Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.348% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

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

    Flashes per match 2.4585 — below the 4 mark we flag

    Grenade Lineups →
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.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–16-0.016%30 Oct →
ancient3–13-0.018%30 Oct →
nuke13–5-0.006%30 Oct →
mirage9–13-0.0111%30 Oct →
dust28–4-0.0313%29 Oct →
dust213–60.0417%26 Oct →
mirage11–130.0111%25 Oct →
inferno14–160.048%24 Oct →
dust213–1-0.0113%24 Oct →
anubis13–10-0.0111%23 Oct →
nuke8–13-0.0110%21 Oct →
mirage3–13-0.0017%21 Oct →
cache13–9-0.0412%21 Oct →
inferno5–130.0011%18 Oct →
ancient13–110.018%18 Oct →
inferno13–110.0111%14 Oct →
inferno13–3-0.056%14 Oct →
mirage13–8-0.037%14 Oct →
inferno13–60.0411%11 Oct →
cache8–13-0.0510%11 Oct →
dust213–10.0410%7 Oct →
ancient12–16-0.0311%7 Oct →
nuke9–0-0.0318%7 Oct →
anubis7–13-0.026%7 Oct →
dust28–13-0.0413%6 Oct →
nuke9–130.0220%4 Oct →
inferno5–13-0.016%30 Sept →
cache10–13-0.082%30 Sept →
dust26–13-0.0715%27 Sept →
cache6–13-0.0513%27 Sept →
mirage10–13-0.045%27 Sept →
ancient13–5-0.0211%27 Sept →
mirage13–70.0310%24 Sept →
inferno1–13-0.028%24 Sept →
ancient12–120.089%23 Sept →
inferno13–100.016%23 Sept →
anubis8–13-0.0119%18 Sept →
ancient8–130.0320%18 Sept →
anubis13–90.0816%16 Sept →
ancient11–130.0210%16 Sept →
inferno13–40.0511%16 Sept →
mirage13–8-0.0212%15 Sept →
mirage16–13-0.0318%14 Sept →
nuke19–17-0.0514%13 Sept →
mirage3–13-0.039%13 Sept →
inferno13–70.0717%13 Sept →
ancient14–160.039%11 Sept →
anubis13–16-0.0610%9 Sept →
ancient8–13-0.018%9 Sept →
ancient11–13-0.0114%9 Sept →
mirage13–90.0710%8 Sept →
nuke5–13-0.059%8 Sept →
ancient12–12-0.008%6 Sept →
inferno12–120.0911%6 Sept →
inferno0–13-0.1212%6 Sept →
inferno9–130.016%2 Sept →
nuke6–130.0414%2 Sept →
mirage7–13-0.0511%2 Sept →
ancient10–130.068%1 Sept →
dust26–13-0.0510%1 Sept →
cache13–7-0.0322%31 Aug →
inferno13–90.0113%31 Aug →
inferno13–2-0.0019%30 Aug →
ancient13–11-0.0013%30 Aug →
inferno13–80.017%30 Aug →
anubis13–50.0411%30 Aug →
nuke13–4-0.0214%29 Aug →
nuke15–150.0410%28 Aug →
inferno5–130.0216%28 Aug →
mirage9–13-0.029%28 Aug →
anubis10–130.047%26 Aug →
dust23–13-0.069%26 Aug →
inferno13–50.0510%26 Aug →
nuke4–13-0.067%24 Aug →
inferno2–13-0.0413%23 Aug →
anubis13–7-0.052%23 Aug →
nuke13–2-0.022%23 Aug →
inferno4–130.0114%23 Aug →
inferno11–130.0018%23 Aug →
cache13–1-0.0317%22 Aug →
mirage2–13-0.067%22 Aug →
inferno13–9-0.0517%21 Aug →
anubis6–13-0.0815%21 Aug →
nuke10–13-0.018%19 Aug →
dust24–13-0.0610%19 Aug →
inferno13–40.085%19 Aug →
mirage7–130.0112%16 Aug →
inferno10–130.057%16 Aug →
inferno9–3-0.0514%16 Aug →
mirage1–5-0.087%13 Aug →
anubis13–7-0.059%12 Aug →
inferno9–130.016%9 Aug →
inferno7–13-0.0113%9 Aug →
inferno6–130.013%8 Aug →
inferno11–130.018%8 Aug →
nuke16–120.056%7 Aug →
mirage7–13-0.014%7 Aug →
anubis4–13-0.017%7 Aug →
anubis6–13-0.065%6 Aug →
mirage13–70.019%6 Aug →

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 →

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