Fred

Fred — CS2 Stats

DK76561198787934208[U:1:827668480]Steam profile ↗✓ No bans

712Tracked matches52%Win rate2025Tracked since
CSDB Rating4.7 DevelopingSupport
FaceitLevel 7 · 983 ELOTop 42.3% 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. 64 days played since 20 Nov 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 9,999 +1,289 16 Jun30 Jun · 4 days played
8,7109,999peak 9,99916 Jun30 Jun
9,999Peak Premier in tracked matches
983Highest Faceit ELO seen on CSDB
64Days played since 2025-11-20

Faceit ELO

  • At peak — 983
  • Next: Level 5 at 1,051 68 to go
  • Reached: Level 4 · Level 3 · Level 2

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.

Share this profile

CSDB.GGFredFACEITLevel 7 · 983 ELOSTANDINGTop 42.3% of rankedPEAK ELO983csdb.gg/stats

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Performance scores

Aim62
Positioning48
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY46522Last 10046%Win rateWLWLWWLWLL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −6.7pp headshot accuracy · +24ms 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 -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 528ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 607ms

Last 20

  • 119 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 595ms

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 (+2.4 against its own average).

Aim6.2
Utility6.7
Positioning4.8
Opening Duels2.5
Clutch3.2

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

NiKo

Plays most like NiKo 76% 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

Areas to improve

Reaction time. 584ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.2
Positioning4.8
Utility6.7
Mechanics4.3
Opening Duels1.6
Win Impact5.6

Composite 4.7/10 (Developing), 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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time598ms−65ms
first ⅓ avg 663ms → last ⅓ avg 598ms
Headshot accuracy20.1%+4.1%
first ⅓ avg 16.1% → last ⅓ avg 20.1%

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 · 13–5 · anubis, 9 Jul
40%Best headshot accuracy · 13–2 · ancient, 30 Jun
406msFastest reaction time · 4–13 · ancient, 19 May
13–2Biggest win · ancient, 30 Jun

Across the last 100 tracked matches.

Highlights

4Longest win streak
814In matches decided by ≤2 rounds
11Overtime games

Map breakdown

dust2Best map · 60% over 5nukeWeakest map · 16% over 19
MapGradePlayedRecordWin rateAvg rating
ancientA31171455%-0.01
nukeD1931616%-0.03
infernoB157847%-0.01
anubisA148657%-0.00
mirageD72529%-0.01
dust2A53260%-0.02
train42250%-0.04
overpass32167%0.01
cache110100%-0.04
vertigo110100%0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (16% over 19). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

905Matches
50%Win rate
0.85Avg K/D
71.5ADR
48%Headshot %

Clutches & streaks

36%1v1 clutch win
18%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient26250%0.8713.6
Nuke16952%0.8313.1
Anubis13252%0.9514.9
Inferno12950%0.8112.8
Overpass7853%0.9013.2
Mirage5838%0.6810.8
Dust23250%0.7611.3
Train2548%0.8313.8

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.

19.9%Headshot accuracy
33.0%Accuracy (enemy spotted)
32.0%Spray accuracy
69.4%Counter-strafing
8.8°Preaim
584msReaction time
28.6%T opening success
42.8%CT opening success
0.59Enemies flashed / flash
7.6%Flash assists
11.59HE damage / grenade
16.04Flashes / 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

    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 28.6203% — below the 40% mark we flag

Spend your practice time on Nuke

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

16% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–9-0.0411%27 Aug
ancient11–13-0.0414%26 Aug
ancient16–140.0213%23 Aug
anubis6–13-0.0510%13 Aug
anubis13–100.0116%11 Aug
inferno9–6-0.0127%9 Aug
inferno11–13-0.0617%8 Aug
inferno16–13-0.0118%2 Aug
inferno11–130.0320%31 Jul
mirage5–13-0.0822%26 Jul
nuke7–13-0.0724%26 Jul
anubis13–9-0.0920%23 Jul
anubis13–4-0.0012%23 Jul
ancient22–19-0.0130%23 Jul
nuke4–13-0.0636%22 Jul
ancient19–16-0.0326%22 Jul
dust25–13-0.0319%10 Jul
ancient13–11-0.0123%9 Jul
anubis13–50.1225%9 Jul
nuke11–13-0.0619%1 Jul
ancient13–20.0140%30 Jun
nuke8–13-0.057%27 Jun
ancient13–70.0619%27 Jun
anubis9–130.0421%18 Jun
inferno13–110.0128%17 Jun
ancient15–15-0.0316%17 Jun
anubis13–30.0220%17 Jun
anubis13–60.0415%16 Jun
anubis8–130.0530%15 Jun
anubis8–13-0.0512%11 Jun
nuke8–13-0.0317%4 Jun
ancient1–13-0.0418%3 Jun
nuke11–130.0321%25 May
ancient10–13-0.1415%23 May
ancient13–100.0313%21 May
ancient4–13-0.0510%19 May
ancient13–7-0.0022%15 May
mirage9–13-0.0115%13 May
cache13–10-0.0420%5 May
mirage13–8-0.0521%5 May
ancient11–13-0.0014%5 May
nuke13–8-0.0728%30 Apr
anubis22–200.0217%25 Apr
nuke11–130.0020%23 Apr
nuke9–13-0.0111%2 Apr
anubis11–13-0.0213%17 Mar
ancient10–130.0718%14 Mar
dust216–13-0.0314%10 Mar
ancient8–130.0120%26 Feb
dust24–130.0323%23 Feb
mirage13–4-0.0124%21 Feb
nuke8–130.0117%19 Feb
dust213–11-0.0319%19 Feb
ancient10–13-0.0316%15 Feb
inferno4–13-0.0917%15 Feb
mirage6–130.0319%12 Feb
mirage10–130.0427%9 Feb
anubis6–13-0.0617%9 Feb
nuke10–13-0.0319%9 Feb
overpass13–3-0.0017%8 Feb
ancient13–10-0.0013%4 Feb
nuke13–6-0.0424%31 Jan
nuke5–9-0.1111%22 Jan
ancient2–130.0828%12 Jan
mirage12–12-0.0120%4 Jan
nuke10–13-0.0310%31 Dec
ancient3–13-0.0414%14 Dec
train13–5-0.0414%11 Dec
dust213–10-0.0417%10 Dec
ancient13–10-0.0713%10 Dec
vertigo9–40.0014%4 Dec
ancient9–13-0.0714%2 Dec
overpass11–13-0.0020%30 Nov
ancient11–00.029%30 Nov
inferno8–13-0.0137%30 Nov
overpass13–110.0314%30 Nov
ancient13–5-0.0315%29 Nov
inferno13–90.0111%29 Nov
ancient13–70.0212%29 Nov
nuke2–13-0.0316%29 Nov
ancient13–6-0.0412%29 Nov
ancient4–13-0.0711%28 Nov
inferno13–8-0.0424%28 Nov
ancient16–120.0111%27 Nov
nuke11–130.0018%27 Nov
inferno14–16-0.0810%27 Nov
train11–13-0.029%24 Nov
train13–6-0.0319%24 Nov
ancient7–13-0.053%24 Nov
train2–13-0.0632%24 Nov
inferno10–130.0318%24 Nov
nuke13–16-0.0313%23 Nov
inferno13–11-0.0514%23 Nov
nuke9–13-0.0111%23 Nov
inferno13–60.0320%23 Nov
ancient13–11-0.0015%23 Nov
ancient13–40.0118%20 Nov
inferno11–13-0.0130%20 Nov
nuke13–70.0119%20 Nov
inferno14–160.0518%20 Nov

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 →