reidar

reidar — CS2 Stats

CG76561198960297925[U:1:1000032197]Steam profile ↗✓ No bans

1,281Tracked matches45%Win rate2020Tracked since
1,657Hours in CS21Hrs last 2 wks
CSDB Rating5.5 SolidAll-Rounder
FaceitLevel 8 · 1,676 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (54 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,676 → 1,676
+32Tracked matches · now 1,281
−5.2ppWin rate · 50.0% → 44.8%

Rating over time

Premier CS Rating: 19,059 -940 1 Jun – 3 Jul · 9 days played
18,61819,999peak 19,9991 Jun3 Jul
19,999Peak Premier in tracked matches
1,676Highest Faceit ELO seen on CSDB
50Days played since 2026-06-01

Faceit ELO

  • At peak — 1,676
  • Next: Level 9 at 1,751 — 75 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-02
  • Level 7 first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate44.0%46.8%48.2%4.2% short
Shot accuracy0.2%13.0%13.2%13.0% short
Kill/death ratio0.911.061.070.16 short
Match win rate51.7%46.3%46.9%above

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGreidarFACEITLevel 8 · 1,676 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,676csdb.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

Aim67
Positioning59
Utility60

0–100 skill scores via Leetify.

Recent form

COLD48–49–3Last 10048%Win rateWLWLLLLLLW

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +2.0pp headshot accuracy · −121ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 500ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 509ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 569ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.7
Utility6.0
Positioning5.9
Opening Duels4.2
Clutch5.0

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 86% playstyle similarity

Most alike: opening-duel success, utility contribution.

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 →

CSDB Rating breakdown

Aim6.7
Positioning5.9
Utility6.0
Mechanics5.4
Opening Duels5.4
Win Impact3.3

Composite 5.5/10 (Solid), 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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time548ms−27ms
first ⅓ avg 575ms → last ⅓ avg 548ms
Headshot accuracy18.3%+0.7%
first ⅓ avg 17.6% → last ⅓ avg 18.3%

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

0.16Best match rating · 13–1 · dust2, 2 Jun →
29%Best headshot accuracy · 16–13 · dust2, 24 Jun →
344msFastest reaction time · 6–9 · inferno, 1 Jul →
13–1Biggest win · dust2, 2 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
3–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 60% over 10anubisWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
dust2C167–944%0.01
mirageB168–850%-0.01
infernoB157–847%0.01
anubisD155–1033%-0.00
nukeA127–558%0.00
cacheA106–460%-0.01
ancientB84–450%-0.01
overpass—42–250%-0.00
vertigo—31–233%0.00
train—11–0100%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,691Lifetime kills
0.91K/D
1,450Matches
51.7%Match win rate · Top 25% of Level 8 players
44.0%Headshot %
0.2%Shot accuracy
3,077MVPs
610Hours (in match)
2,381Bombs planted
314Bombs defused

Most-used weapons

Lifetime map wins

2,621dust2
2,383inferno
1,687nuke
526vertigo
298train
17lake
14italy
14ar_shoots

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

Faceit stats

Combat

887Matches
52%Win rate
0.93Avg K/D
80.9ADR
45%Headshot %

Clutches & streaks

45%1v1 clutch win
22%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage19950%0.9113.6
Dust216246%0.9013.5
Inferno12555%0.9214.2
Anubis12554%0.9414.6
Ancient10549%0.9314.4
Nuke8762%1.0415.4
Overpass3954%0.9413.9
Cache3462%0.9915.4

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.

18.4%Headshot accuracy
33.4%Accuracy (enemy spotted)
35.8%Spray accuracy
74.5%Counter-strafing
10.2°Preaim
540msReaction time
53.5%T opening success
50.1%CT opening success
0.57Enemies flashed / flash
5.7%Flash assists
12.23HE damage / grenade
9.69Flashes / 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.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–90.0913%26 Oct →
ancient11–130.0317%25 Oct →
inferno13–90.0518%24 Oct →
inferno13–160.0423%22 Oct →
anubis4–13-0.0525%20 Oct →
ancient7–130.0326%20 Oct →
cache4–130.0118%19 Oct →
cache10–130.0125%17 Oct →
nuke2–13-0.0027%15 Oct →
vertigo13–60.067%15 Oct →
overpass13–70.0416%15 Oct →
dust213–60.0722%14 Oct →
train13–50.0127%14 Oct →
nuke13–100.0515%14 Oct →
anubis7–13-0.0323%8 Oct →
inferno13–100.0114%30 Sept →
dust23–13-0.089%30 Sept →
dust213–60.0116%30 Sept →
anubis2–13-0.0319%29 Sept →
dust215–150.1220%25 Sept →
mirage13–100.0310%25 Sept →
inferno2–6-0.0120%12 Sept →
dust213–5-0.0119%10 Sept →
anubis7–13-0.0214%17 Aug →
dust211–13-0.0120%17 Aug →
dust23–13-0.0121%17 Aug →
ancient13–10-0.0417%15 Aug →
mirage11–13-0.0417%15 Aug →
mirage13–60.1320%15 Aug →
nuke10–130.0216%14 Aug →
anubis11–13-0.0314%14 Aug →
cache13–80.0013%13 Aug →
anubis13–40.0020%13 Aug →
anubis13–100.058%11 Aug →
anubis13–70.1121%11 Aug →
nuke13–90.0213%3 Aug →
dust25–130.0122%3 Aug →
nuke6–13-0.0217%2 Aug →
inferno13–70.0323%1 Aug →
mirage13–6-0.0220%30 Jul →
mirage9–13-0.078%29 Jul →
cache3–13-0.068%28 Jul →
dust213–100.0018%28 Jul →
cache13–50.0314%28 Jul →
nuke13–6-0.0421%23 Jul →
inferno6–13-0.0313%22 Jul →
cache13–70.0010%15 Jul →
anubis6–13-0.045%14 Jul →
cache16–130.0114%12 Jul →
mirage11–13-0.028%10 Jul →
mirage0–11-0.0517%8 Jul →
ancient13–7-0.0114%8 Jul →
nuke8–130.0013%7 Jul →
cache8–13-0.0511%7 Jul →
cache13–11-0.0217%6 Jul →
dust213–70.0419%3 Jul →
mirage13–20.027%3 Jul →
dust23–13-0.0918%3 Jul →
ancient13–30.0120%2 Jul →
anubis9–130.0012%2 Jul →
vertigo10–13-0.0214%2 Jul →
inferno10–13-0.0225%2 Jul →
inferno10–130.0119%2 Jul →
mirage13–80.0411%1 Jul →
inferno6–9-0.0517%1 Jul →
mirage13–7-0.0512%30 Jun →
nuke13–7-0.0412%29 Jun →
mirage14–16-0.0017%29 Jun →
nuke13–60.0415%29 Jun →
ancient3–13-0.0517%29 Jun →
dust211–13-0.0310%28 Jun →
mirage13–2-0.0119%28 Jun →
mirage9–130.0014%28 Jun →
inferno13–80.0415%28 Jun →
nuke13–80.0711%28 Jun →
dust28–130.0123%28 Jun →
inferno9–13-0.0122%28 Jun →
anubis16–120.0016%28 Jun →
ancient2–13-0.0428%25 Jun →
inferno13–50.0720%25 Jun →
overpass13–9-0.0220%25 Jun →
anubis6–130.0118%25 Jun →
dust210–130.0324%25 Jun →
mirage15–15-0.0115%24 Jun →
dust216–13-0.0129%24 Jun →
overpass13–160.0417%24 Jun →
inferno13–4-0.0014%24 Jun →
mirage13–110.0212%24 Jun →
vertigo9–13-0.0416%21 Jun →
cache13–11-0.0125%21 Jun →
anubis3–13-0.088%21 Jun →
ancient13–5-0.0013%10 Jun →
overpass2–13-0.0712%9 Jun →
nuke9–13-0.0423%6 Jun →
inferno2–9-0.1513%4 Jun →
anubis15–150.0310%2 Jun →
dust213–10.1627%2 Jun →
mirage7–13-0.0728%2 Jun →
nuke16–13-0.0010%1 Jun →
anubis13–100.0520%1 Jun →

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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