Ragnar

Ragnar — CS2 Stats

DE76561198142144280[U:1:181878552]Steam profile ↗✓ No bans

814Tracked matches52%Win rate2020Tracked since
2,718Hours in CS4Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
Premier CS Rating21,970Top 50% of 192,959 CSDB-tracked playersPink band · top ~6.3% of ranked players (population est.)
CSDB Leaderboard#52574 of 238837 tracked
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 814 tracked matches. Play, then come back: the next observation lands here.

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. 30 days played since 15 Mar 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: 21,970 +2,201 15 Mar3 Sept · 17 days played
18,71623,501peak 23,50115 Mar3 Sept
23,501Peak Premier in tracked matches
30Days played since 2026-03-15

Premier CS Rating

  • 1,531 below peak (23,501)
  • +904 over 90 days
  • Next: Red band at 25,000 3,030 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-03
  • Purple band first seen 2026-09-03

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate40.0%46.9%49.2%9.2% short
Shot accuracy16.8%13.0%13.3%above
Kill/death ratio1.271.081.12above
Match win rate44.4%46.7%48.5%4.1% short

This profile matches the typical Red band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGRagnarPREMIER21,970 · Pink bandcsdb.gg/stats

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Performance scores

Aim68
Positioning63
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY55387Last 10055%Win rateLWWWLWLLWL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −4.7pp headshot accuracy · −6ms 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

  • 32 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 549ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 564ms

Last 20

  • 9101 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 567ms

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 PlayerPositioning stands above the rest of this profile (+1.5 against its own average).

Aim6.8
Utility3.2
Positioning6.3
Opening Duels6.3
Clutch3.2

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

donk

Plays most like donk 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 61% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 586ms 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

Aim6.8
Positioning6.3
Utility3.2
Mechanics6.3
Opening Duels5.4
Win Impact5.6

Composite 5.9/10 (Solid), 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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time582ms−31ms
first ⅓ avg 612ms → last ⅓ avg 582ms
Headshot accuracy16.5%−0.7%
first ⅓ avg 17.2% → last ⅓ avg 16.5%

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

0.21Best match rating · 13–9 · cache, 1 Jun
43%Best headshot accuracy · 6–9 · inferno, 10 Jun
398msFastest reaction time · 13–3 · inferno, 15 Mar
13–0Biggest win · dust2, 16 Jun

Across the last 100 tracked matches.

Highlights

7Longest win streak
93In matches decided by ≤2 rounds
8Overtime games

Map breakdown

overpassBest map · 100% over 5dust2Weakest map · 48% over 25
MapGradePlayedRecordWin rateAvg rating
infernoB28151354%0.03
dust2B25121348%-0.01
ancientB126650%-0.00
anubisB105550%0.02
cacheA85363%0.03
mirageA53260%0.04
nukeA53260%0.05
overpassS550100%-0.00
vertigo1010%-0.04
train110100%0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (48% over 25). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

86,315Lifetime kills
1.27K/D · Top 25% of Pink band
4,198Matches
44.4%Match win rate
40.0%Headshot %
16.8%Shot accuracy · Top 25% of Pink band
9,343MVPs
1,564Hours (in match)
3,757Bombs planted
915Bombs defused

Most-used weapons

AK-4718,133
AWP16,056
XM10144,446
P902,449
SSG 082,346
AUG2,284

Lifetime map wins

15,531dust2
6,095inferno
1,698nuke
733cbble
484vertigo
468train
183office
108italy

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

Faceit stats

Combat

80Matches
54%Win rate
1.44Avg K/D
90.9ADR
46%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Dust22454%1.4318.0
Inferno1968%1.5117.5
Mirage1040%1.6115.8
Anubis650%1.4419.2
Ancient475%1.3918.0
Nuke333%1.1217.7
Vertigo1100%2.3321.0
Overpass1100%1.3117.0

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.

17.3%Headshot accuracy
33.1%Accuracy (enemy spotted)
41.1%Spray accuracy
78.1%Counter-strafing
10.0°Preaim
586msReaction time
41.9%T opening success
61.5%CT opening success
0.41Enemies flashed / flash
3.5%Flash assists
7.62HE damage / grenade
3.56Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4138 — below the 0.5 mark we flag

    Grenade Lineups
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.

48% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno9–13-0.0114%16 Aug
anubis13–30.073%16 Aug
dust213–3-0.0213%12 Aug
mirage13–7-0.0314%11 Aug
dust210–130.0226%11 Aug
mirage13–80.0316%11 Aug
ancient8–13-0.040%9 Aug
dust210–13-0.0811%9 Aug
inferno13–9-0.0414%9 Aug
inferno1–13-0.0317%9 Aug
ancient14–160.0225%9 Aug
dust211–13-0.0129%7 Aug
anubis6–130.0014%7 Aug
inferno10–130.0219%7 Aug
inferno13–7-0.0221%7 Aug
cache2–13-0.118%16 Jul
dust213–50.0117%16 Jul
inferno8–80.158%14 Jul
ancient10–40.0625%12 Jul
inferno13–7-0.0210%12 Jul
anubis13–80.0326%12 Jul
dust213–9-0.0117%12 Jul
ancient7–13-0.0317%9 Jul
vertigo12–12-0.0424%7 Jul
train13–80.0722%7 Jul
cache13–100.0612%7 Jul
mirage13–20.0817%7 Jul
anubis9–13-0.0317%5 Jul
dust27–13-0.0312%5 Jul
dust28–130.0325%25 Jun
cache13–110.1222%25 Jun
ancient13–8-0.0311%21 Jun
dust215–15-0.0219%21 Jun
dust213–80.0319%17 Jun
nuke13–60.1316%17 Jun
anubis13–110.0315%17 Jun
dust213–60.0713%17 Jun
mirage9–130.0021%17 Jun
inferno15–150.0423%16 Jun
dust213–00.0330%16 Jun
inferno3–130.056%14 Jun
ancient13–11-0.0220%14 Jun
inferno13–110.0016%12 Jun
dust213–30.0624%12 Jun
dust213–3-0.0513%12 Jun
nuke13–60.0614%12 Jun
ancient13–8-0.0321%10 Jun
inferno13–50.1018%10 Jun
ancient6–13-0.0212%10 Jun
inferno6–90.0143%10 Jun
inferno15–150.0010%9 Jun
overpass13–6-0.0218%9 Jun
nuke16–120.0617%4 Jun
inferno13–8-0.0218%4 Jun
ancient13–50.058%4 Jun
nuke8–8-0.0215%4 Jun
cache7–130.008%4 Jun
dust27–130.0427%4 Jun
cache3–13-0.0328%3 Jun
ancient2–130.0115%3 Jun
dust27–130.0018%3 Jun
anubis5–130.0022%3 Jun
inferno13–30.0210%3 Jun
inferno13–110.0413%1 Jun
overpass13–100.0120%1 Jun
dust213–20.048%1 Jun
cache13–90.2121%1 Jun
anubis15–150.0121%31 May
inferno11–130.0216%31 May
overpass13–8-0.0615%31 May
inferno13–6-0.0513%31 May
ancient12–16-0.048%31 May
inferno13–2-0.033%31 May
anubis4–13-0.0110%31 May
mirage7–130.104%31 May
inferno13–11-0.0118%27 May
nuke9–130.0317%27 May
dust21–13-0.0914%27 May
dust24–13-0.0510%23 May
inferno12–160.0726%3 May
inferno10–130.0527%3 May
overpass13–90.0019%3 May
inferno13–70.1120%3 May
dust27–2-0.028%3 May
cache13–11-0.0215%3 May
cache13–11-0.0330%3 May
inferno13–10.1028%28 Apr
dust213–10.0819%28 Apr
inferno5–130.0232%27 Apr
dust210–13-0.0518%27 Apr
dust213–110.0015%26 Apr
ancient13–80.0514%26 Apr
dust25–13-0.0819%15 Mar
inferno8–130.049%15 Mar
inferno13–60.1231%15 Mar
anubis13–60.0521%15 Mar
dust28–13-0.089%15 Mar
inferno13–30.0314%15 Mar
anubis13–100.0521%15 Mar
overpass13–80.0422%15 Mar

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →