AGRB04

AGRB04 — CS2 Stats

GB76561198271918987[U:1:311653259]Steam profile ↗✓ No bans

845Tracked matches58%Win rate2022Tracked since
2,298Hours in CS1Hrs last 2 wks
CSDB Rating5.1 DevelopingPositional Player
FaceitLevel 5 · 1,168 ELOTop 67.6% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 17,364 -2,015 14 Aug – 19 Nov · 16 days played
17,17919,562peak 19,56214 Aug19 Nov
19,977Peak Premier in tracked matches
1,168Highest Faceit ELO seen on CSDB
53Days played since 2024-08-14

Faceit ELO

  • At peak — 1,168
  • Next: Level 6 at 1,201 — 33 to go
  • Reached: Level 5 · 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.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate54.2%43.8%44.8%above
Shot accuracy11.8%12.0%12.4%0.6% short
Kill/death ratio0.841.021.030.19 short
Match win rate71.8%44.7%45.2%above

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAGRB04FACEITLevel 5 · 1,168 ELOSTANDINGTop 67.6% of rankedPEAK ELO1,168csdb.gg/stats

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Performance scores

Aim70
Positioning49
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY43–47–10Last 10043%Win rateWWLLLWWTTT

Last 10 vs previous 10: −30pp win rate · +0.03 avg rating · +1.3pp headshot accuracy · −76ms 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 (+0.03), 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 21%
  • Avg reaction 572ms

Last 10

  • 4–3–3 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 23%
  • Avg reaction 537ms

Last 20

  • 11–5–4 · 55% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 23%
  • Avg reaction 575ms

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 (+1.3 against its own average).

Aim7.0
Utility4.1
Positioning4.9
Opening Duels1.7
Clutch3.6

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 93% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 43% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 588ms 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

Aim7.0
Positioning4.9
Utility4.1
Mechanics7.1
Opening Duels1.6
Win Impact7.8

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 rating0.02−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time596ms+20ms
first ⅓ avg 575ms → last ⅓ avg 596ms
Headshot accuracy21.3%+1.7%
first ⅓ avg 19.7% → last ⅓ avg 21.3%

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

0.27Best match rating · 4–0 · rush_001, 11 Oct →
48%Best headshot accuracy · 9–1 · vertigo, 15 Apr →
422msFastest reaction time · 12–12 · cache, 29 Apr →
13–1Biggest win · nuke, 14 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
9–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 75% over 12mirageWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
ancientC198–1142%-0.01
nukeC166–1038%0.01
anubisS129–375%-0.00
mirageD113–827%-0.02
vertigoD103–730%-0.00
trainC73–443%-0.01
infernoD62–433%-0.06
cache—31–233%0.08
thera—30–30%0.05
sanctum—22–0100%0.07
overpass—21–150%0.01
grail—21–150%0.02
rush_001—11–0100%0.27
poseidon—11–0100%0.09
warden—10–10%-0.02
brewery—11–0100%0.06
dust2—10–10%-0.04
palais—10–10%-0.12
mills—11–0100%0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

88,495Lifetime kills
0.84K/D
9,501Matches
71.8%Match win rate · Top 1% of Level 5 players
54.2%Headshot % · Top 25% of Level 5 players
11.8%Shot accuracy
12,858MVPs
1,452Hours (in match)
3,173Bombs planted
2,482Bombs defused

Most-used weapons

AK-4730,246
AWP8,840
Molotov2,101
P2501,278
FAMAS1,263

Lifetime map wins

5,453inferno
4,459vertigo
3,186dust2
2,284nuke
963train
593cbble
223office
152italy

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

Faceit stats

Combat

207Matches
53%Win rate
0.94Avg K/D
71.3ADR
51%Headshot %

Clutches & streaks

38%1v1 clutch win
29%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Vertigo3768%1.0615.3
Anubis2357%0.9614.3
Ancient1963%1.0915.9
Inferno1533%0.9115.1
Mirage1533%0.7211.5
Overpass771%1.0714.6
Nuke633%0.709.0
Train1100%1.5420.0

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.

20.6%Headshot accuracy
33.2%Accuracy (enemy spotted)
37.7%Spray accuracy
81.9%Counter-strafing
10.7°Preaim
588msReaction time
22.5%T opening success
42.8%CT opening success
0.54Enemies flashed / flash
6.2%Flash assists
6.19HE damage / grenade
12.82Flashes / 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 22.5126% — 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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
rush_0014–00.2717%11 Oct →
ancient13–2-0.0411%18 Aug →
nuke11–13-0.0430%18 Aug →
ancient9–13-0.0231%18 May →
inferno7–13-0.0416%18 May →
nuke13–10.1432%14 May →
cache13–110.0626%8 May →
cache12–120.1115%29 Apr →
cache12–120.0629%29 Apr →
vertigo12–120.0227%27 Apr →
sanctum9–70.1017%15 Apr →
vertigo9–10.2548%15 Apr →
poseidon9–50.0940%15 Apr →
sanctum9–70.0420%15 Apr →
overpass13–3-0.0218%15 Apr →
vertigo9–4-0.0014%24 Feb →
nuke0–9-0.257%24 Feb →
mirage12–120.0413%24 Feb →
mirage13–80.0326%7 Feb →
warden7–13-0.0218%7 Feb →
anubis13–10-0.0318%22 Jan →
mirage10–13-0.0223%14 Nov →
mirage16–130.0018%11 Nov →
ancient12–16-0.0521%13 Sept →
train7–13-0.0619%18 Aug →
train13–70.0528%23 May →
brewery9–60.0632%11 May →
grail13–60.0015%8 May →
grail12–120.0418%8 May →
mirage13–9-0.0622%11 Apr →
inferno0–9-0.2418%2 Apr →
nuke7–90.025%2 Apr →
mirage12–120.0415%2 Apr →
mirage2–13-0.0915%26 Mar →
ancient13–90.0426%26 Mar →
nuke6–13-0.0810%7 Mar →
dust21–13-0.0419%4 Mar →
ancient13–70.0218%24 Feb →
train13–20.0416%2 Dec →
vertigo13–8-0.0524%19 Nov →
mirage7–13-0.0516%19 Nov →
ancient13–8-0.0519%19 Nov →
anubis16–140.0030%19 Nov →
nuke6–13-0.0816%19 Nov →
palais7–9-0.1219%19 Nov →
train10–13-0.0518%18 Nov →
train10–13-0.0041%14 Nov →
train9–13-0.0621%14 Nov →
train13–50.0321%14 Nov →
vertigo4–13-0.0618%3 Nov →
inferno4–9-0.083%22 Oct →
anubis13–8-0.0512%18 Oct →
ancient5–130.0434%17 Oct →
vertigo6–130.0419%15 Oct →
mirage5–13-0.0726%15 Oct →
anubis7–13-0.0213%11 Oct →
vertigo10–13-0.038%7 Oct →
inferno13–11-0.0217%6 Oct →
vertigo14–16-0.0714%5 Oct →
ancient9–13-0.0123%4 Oct →
vertigo3–9-0.1319%4 Oct →
nuke8–13-0.0512%3 Oct →
anubis13–11-0.0228%3 Oct →
overpass12–120.0317%3 Oct →
ancient16–14-0.0319%18 Sept →
inferno11–130.0421%18 Sept →
ancient7–13-0.0715%14 Sept →
inferno13–9-0.0122%14 Sept →
nuke4–13-0.0211%10 Sept →
anubis13–110.0416%10 Sept →
anubis8–13-0.0415%26 Aug →
nuke9–130.0620%25 Aug →
thera9–130.0728%25 Aug →
thera12–120.0812%25 Aug →
mills13–80.0921%25 Aug →
thera12–120.0122%25 Aug →
ancient13–20.1116%25 Aug →
nuke13–70.0531%24 Aug →
anubis13–20.2223%24 Aug →
anubis13–110.0713%24 Aug →
ancient13–16-0.0317%22 Aug →
mirage9–130.0932%22 Aug →
ancient9–130.039%22 Aug →
ancient6–13-0.0311%21 Aug →
ancient13–100.0133%21 Aug →
nuke13–100.0527%20 Aug →
anubis13–80.0110%19 Aug →
vertigo15–15-0.0328%19 Aug →
ancient10–130.0322%19 Aug →
anubis13–8-0.0514%18 Aug →
ancient3–13-0.0512%18 Aug →
mirage5–13-0.1119%16 Aug →
anubis0–13-0.1418%16 Aug →
nuke13–50.0226%16 Aug →
ancient4–13-0.0226%16 Aug →
nuke13–80.1423%16 Aug →
nuke13–30.0719%15 Aug →
ancient13–7-0.0217%15 Aug →
nuke13–16-0.0311%14 Aug →
nuke5–130.0826%14 Aug →

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 →

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