Feathers McGraw

Feathers McGraw — CS2 Stats

76561198400159697[U:1:439893969]Steam profile ↗✓ No bans

1,595Tracked matches57%Win rate2020Tracked since
CSDB Rating5.1 DevelopingPositional Player
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (38 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,351 → 1,351
+12Tracked matches · now 1,595
−6.7ppWin rate · 63.3% → 56.7%

Rating over time

1,351Highest Faceit ELO seen on CSDB
53Days played since 2025-08-04

Faceit ELO

  • At peak — 1,351
  • Next: Level 8 at 1,531 — 180 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-08-31
  • Level 6 first seen 2026-08-31

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

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CSDB.GGFeathers McGrawPEAK ELO1,351csdb.gg/stats

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Performance scores

Aim67
Positioning53
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY58–40–2Last 10058%Win rateLWLLWWWLWW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −0.6pp headshot accuracy · −91ms reaction

Win rate 0pp 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 20%
  • Avg reaction 537ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 533ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 579ms

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 (+1.1 against its own average).

Aim6.7
Utility5.1
Positioning5.3
Opening Duels2.1
Clutch4.4

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 86% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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.

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

Aim6.7
Positioning5.3
Utility5.1
Mechanics6.0
Opening Duels1.8
Win Impact7.2

Composite 5.1/10 (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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time592ms−18ms
first ⅓ avg 609ms → last ⅓ avg 592ms
Headshot accuracy17.8%−2.0%
first ⅓ avg 19.8% → last ⅓ avg 17.8%

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

0.31Best match rating · 9–2 · overpass, 1 Sept →
67%Best headshot accuracy · 0–4 · overpass, 27 Nov →
438msFastest reaction time · 13–9 · ancient, 29 Sept →
13–1Biggest win · nuke, 27 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
10–2In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 83% over 6ancientWeakest map · 50% over 18
MapGradePlayedRecordWin rateAvg rating
mirageA2011–955%-0.01
ancientB189–950%-0.01
nukeS1511–473%0.02
overpassS1410–471%0.04
cacheS75–271%0.02
infernoB63–350%0.03
anubisS65–183%0.00
trainA53–260%-0.00
poseidon—20–20%0.09
dust2—20–20%-0.04
shelter—11–0100%0.01
sanctum—10–10%0.01
vertigo—10–10%-0.09
brewery—10–10%-0.12
dogtown—10–10%0.14

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (50% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

459Matches
51%Win rate
0.98Avg K/D
77.5ADR
48%Headshot %

Clutches & streaks

42%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage11754%1.0015.5
Ancient7151%0.9514.7
Nuke5746%1.0015.3
Overpass3770%1.0616.2
Anubis3364%1.1316.5
Inferno2638%0.9715.0
Train2268%1.0915.3
Dust21850%0.7811.9

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
37.0%Accuracy (enemy spotted)
39.1%Spray accuracy
77.2%Counter-strafing
11.6°Preaim
584msReaction time
37.5%T opening success
36.7%CT opening success
0.58Enemies flashed / flash
7.4%Flash assists
10.59HE damage / grenade
8.72Flashes / 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 37.4944% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
nuke7–130.0424%4 Oct →
cache13–11-0.0115%4 Oct →
inferno4–13-0.0421%4 Oct →
anubis9–13-0.0217%3 Oct →
nuke16–14-0.0023%1 Oct →
ancient13–9-0.0019%29 Sept →
nuke13–10.0518%27 Sept →
mirage6–130.0419%27 Sept →
mirage13–9-0.0213%20 Sept →
shelter13–90.0114%20 Sept →
cache8–130.0221%29 Aug →
inferno13–40.0722%27 Aug →
ancient8–13-0.0618%23 Aug →
mirage13–50.0926%22 Jul →
cache13–70.0914%22 Jul →
mirage13–9-0.0125%18 Jul →
cache8–13-0.0716%28 Jun →
ancient19–16-0.097%13 Jun →
anubis13–10-0.0212%13 Jun →
inferno7–13-0.0328%13 Jun →
anubis13–9-0.0610%7 Jun →
overpass4–11-0.0313%22 May →
mirage12–16-0.0112%17 May →
overpass13–70.0222%17 May →
cache13–60.0916%17 May →
ancient6–13-0.0417%16 May →
overpass4–13-0.0022%16 May →
nuke8–13-0.0412%16 May →
mirage13–80.0618%5 May →
ancient13–100.0116%4 May →
mirage13–80.0212%4 May →
cache19–170.0531%3 May →
ancient13–10-0.0116%3 May →
cache8–5-0.0226%2 May →
inferno7–130.0427%27 Apr →
poseidon4–90.0318%14 Apr →
inferno9–60.0516%14 Apr →
nuke4–9-0.0210%14 Apr →
sanctum3–90.0133%14 Apr →
mirage13–80.0117%2 Apr →
anubis13–100.0414%29 Mar →
mirage7–13-0.0619%29 Mar →
nuke6–13-0.0212%29 Mar →
mirage13–9-0.0324%21 Mar →
anubis13–50.0925%21 Mar →
poseidon8–80.1533%19 Mar →
mirage9–13-0.047%7 Mar →
ancient8–130.0332%7 Mar →
mirage10–13-0.059%7 Mar →
dust210–13-0.0216%7 Mar →
nuke13–110.0117%31 Jan →
anubis13–11-0.0014%22 Jan →
nuke19–150.0514%13 Jan →
mirage11–13-0.0315%8 Jan →
mirage16–120.0214%20 Dec →
train13–90.0218%19 Dec →
mirage13–9-0.0318%19 Dec →
train9–130.0417%19 Dec →
ancient13–110.0219%27 Nov →
overpass13–30.1418%27 Nov →
overpass0–4-0.0767%27 Nov →
ancient9–13-0.0526%16 Nov →
train13–40.0228%27 Sept →
overpass16–13-0.0624%27 Sept →
train13–80.0121%20 Sept →
ancient13–3-0.0321%20 Sept →
mirage13–60.0313%20 Sept →
ancient16–140.0630%20 Sept →
overpass16–130.0823%20 Sept →
dust26–13-0.0710%19 Sept →
nuke13–30.0516%19 Sept →
overpass13–90.0514%19 Sept →
mirage7–13-0.0314%18 Sept →
ancient4–13-0.0422%13 Sept →
nuke13–60.0317%13 Sept →
train5–13-0.1218%13 Sept →
overpass25–230.0117%12 Sept →
overpass13–50.0416%10 Sept →
nuke13–60.0328%10 Sept →
mirage13–9-0.012%10 Sept →
mirage8–13-0.0123%6 Sept →
vertigo3–9-0.0921%3 Sept →
inferno9–60.1229%3 Sept →
overpass9–20.3124%1 Sept →
brewery1–9-0.1231%1 Sept →
dogtown8–80.1429%1 Sept →
ancient11–130.0220%31 Aug →
overpass16–14-0.0110%15 Aug →
ancient9–130.0217%12 Aug →
ancient8–13-0.0723%7 Aug →
ancient19–17-0.0216%7 Aug →
nuke13–9-0.0224%7 Aug →
ancient13–90.0622%6 Aug →
overpass7–130.0120%6 Aug →
nuke13–7-0.0116%6 Aug →
nuke13–9-0.0313%5 Aug →
mirage3–13-0.0414%5 Aug →
overpass13–40.1224%5 Aug →
nuke13–40.1222%4 Aug →
ancient6–130.0126%4 Aug →

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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