Frehr

Frehr — CS2 Stats

76561199796359285[U:1:1836093557]Steam profile ↗✓ No bans

391Tracked matches41%Win rate2024Tracked since
CSDB Rating2.8 LearningSupport
Premier CS Rating3,753Grey band · top ~84.1% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (2 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.

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. 46 days played since 23 Jun 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 3,753 -1,246 23 Jun21 Sept · 32 days played
3,5645,337peak 5,33723 Jun21 Sept
5,518Peak Premier in tracked matches
46Days played since 2026-06-23

Premier CS Rating

  • 1,584 below peak (5,337)
  • -332 over 30 days · steady
  • -1,246 over 90 days
  • Next: Light Blue band at 5,000 1,247 to go
  • Reached: Light Blue band

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

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CSDB.GGFrehrPREMIER3,753 · Grey bandcsdb.gg/stats

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Performance scores

Aim27
Positioning36
Utility49

0–100 skill scores via Leetify.

Recent form

COLD40528Last 10040%Win rateLLLLWLLLWW

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · +4.1pp headshot accuracy · −6ms reaction

Win rate down 40pp 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

  • 14 · 20% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 16%
  • Avg reaction 572ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 15%
  • Avg reaction 584ms

Last 20

  • 1010 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 588ms

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: SupportUtility contribution stands above the rest of this profile (+2.1 against its own average).

Aim2.7
Utility4.9
Positioning3.6
Opening Duels0.0

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 61% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Areas to improve

Reaction time. 615ms 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

Aim2.7
Positioning3.6
Utility4.9
Mechanics4.6
Opening Duels0.0
Win Impact2.1

Composite 2.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time626ms−82ms
first ⅓ avg 708ms → last ⅓ avg 626ms
Headshot accuracy11.6%+1.6%
first ⅓ avg 10.0% → last ⅓ avg 11.6%

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

0.12Best match rating · 8–8 · inferno, 31 Aug
33%Best headshot accuracy · 13–3 · inferno, 8 Aug
328msFastest reaction time · 2–9 · inferno, 21 Sept
13–1Biggest win · nuke, 7 Sept

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
711In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 50% over 6mirageWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoC36162044%-0.02
nukeC2191243%-0.05
ancientC156940%-0.03
anubisC94544%-0.02
cacheB63350%-0.00
dust2C52340%-0.03
mirageD5050%-0.03
overpass2020%-0.08
vertigo1010%-0.03

Across the last 100 tracked matches.

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

Skill profile

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

10.7%Headshot accuracy
27.3%Accuracy (enemy spotted)
27.7%Spray accuracy
70.7%Counter-strafing
11.4°Preaim
615msReaction time
27.9%T opening success
26.3%CT opening success
0.55Enemies flashed / flash
5.7%Flash assists
9.12HE damage / grenade
4.75Flashes / 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 10.6942% — below the 15% mark we flag

    Aim Training
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 27.9036% — below the 40% mark we flag

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.

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

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno10–13-0.0618%21 Sept
inferno3–13-0.0815%21 Sept
inferno2–9-0.155%21 Sept
nuke3–9-0.1920%21 Sept
inferno9–40.1121%21 Sept
vertigo5–9-0.035%20 Sept
inferno4–9-0.0712%17 Sept
nuke5–9-0.1811%15 Sept
nuke13–6-0.0117%13 Sept
inferno9–20.1125%13 Sept
inferno4–13-0.0310%11 Sept
nuke4–13-0.0515%11 Sept
inferno9–7-0.0515%10 Sept
ancient13–6-0.0612%9 Sept
anubis13–5-0.024%9 Sept
nuke13–11-0.0510%9 Sept
anubis13–11-0.009%9 Sept
nuke10–13-0.025%7 Sept
inferno13–4-0.0113%7 Sept
nuke13–1-0.0314%7 Sept
nuke8–8-0.1312%6 Sept
cache13–40.076%3 Sept
inferno10–13-0.0615%3 Sept
inferno10–13-0.017%2 Sept
dust22–13-0.0711%2 Sept
inferno9–60.0611%2 Sept
nuke15–15-0.103%31 Aug
ancient13–9-0.0713%31 Aug
inferno8–80.1214%31 Aug
inferno10–13-0.0012%29 Aug
nuke13–8-0.049%29 Aug
mirage9–13-0.0813%29 Aug
anubis7–13-0.034%28 Aug
anubis4–130.0313%26 Aug
cache2–13-0.0412%26 Aug
ancient5–130.0320%23 Aug
anubis13–7-0.0614%23 Aug
inferno11–13-0.037%23 Aug
nuke13–16-0.048%20 Aug
nuke10–130.0515%20 Aug
inferno13–11-0.058%20 Aug
anubis14–160.0012%15 Aug
cache15–150.0216%15 Aug
ancient13–5-0.0214%15 Aug
nuke11–13-0.0510%15 Aug
mirage11–13-0.075%14 Aug
anubis6–13-0.076%14 Aug
ancient10–13-0.025%14 Aug
nuke15–150.0210%14 Aug
inferno0–13-0.0611%13 Aug
inferno9–13-0.014%13 Aug
inferno13–50.0017%13 Aug
nuke13–9-0.0312%13 Aug
inferno11–13-0.0010%12 Aug
ancient6–13-0.0324%12 Aug
cache8–13-0.027%8 Aug
inferno13–3-0.0233%8 Aug
nuke9–13-0.018%8 Aug
dust215–15-0.0315%8 Aug
ancient6–13-0.036%6 Aug
nuke13–110.017%6 Aug
inferno9–5-0.1614%5 Aug
dust214–16-0.0410%4 Aug
ancient2–13-0.065%4 Aug
cache13–9-0.029%3 Aug
ancient4–13-0.087%2 Aug
inferno13–5-0.0612%30 Jul
nuke13–6-0.028%29 Jul
inferno13–80.0210%29 Jul
ancient6–13-0.066%28 Jul
ancient13–110.015%27 Jul
inferno13–40.047%26 Jul
inferno11–13-0.025%26 Jul
inferno3–9-0.1410%25 Jul
dust213–4-0.0217%25 Jul
cache13–6-0.0211%24 Jul
ancient13–8-0.0214%24 Jul
inferno13–50.0212%24 Jul
mirage14–16-0.0310%24 Jul
dust213–110.0111%24 Jul
mirage4–13-0.029%23 Jul
inferno12–16-0.0310%22 Jul
inferno14–16-0.084%22 Jul
anubis7–13-0.0011%22 Jul
anubis13–8-0.0715%7 Jul
inferno7–90.027%6 Jul
nuke13–80.0213%1 Jul
overpass5–13-0.049%1 Jul
overpass8–13-0.1112%30 Jun
nuke5–13-0.1012%30 Jun
inferno13–40.054%29 Jun
inferno13–6-0.035%29 Jun
inferno8–8-0.077%29 Jun
mirage11–130.069%28 Jun
ancient7–13-0.0411%26 Jun
nuke13–6-0.0115%26 Jun
inferno13–30.0413%26 Jun
inferno8–8-0.0317%26 Jun
ancient7–13-0.0412%25 Jun
ancient13–8-0.038%23 Jun

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 →