Raaqz bless you buddy!

Raaqz bless you buddy! — CS2 Stats

JP76561198028552956[U:1:68287228]Steam profile ↗✓ No bans

253Tracked matches70%Win rate2020Tracked since
CSDB Rating6.6 SolidPositional Player
Premier CS Rating21,451Top 50% of 200,982 CSDB-tracked playersPink band · top ~6.9% of ranked players (population est.)
CSDB Leaderboard#60831 of 247870 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−378Premier CS Rating · 21,829 → 21,451

Rating over time

Premier CS Rating: 21,451 +11,486 12 Nov – 1 Oct · 13 days played
9,96521,910peak 21,91012 Nov1 Oct
21,910Peak Premier in tracked matches
40Days played since 2020-12-08

Premier CS Rating

  • 459 below peak (21,910)
  • Next: Red band at 25,000 — 3,549 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGRaaqz bless you buddy!FACEITLevel 6STANDINGTop 54.0% of rankedPREMIER21,451 · Pink bandcsdb.gg/stats

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Performance scores

Aim86
Positioning58
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY58–38–4Last 10058%Win rateLWWWWLLWLW

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +0.0pp headshot accuracy · +16ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 21%
  • Avg reaction 498ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 548ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 540ms

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 (+3.1 against its own average).

Aim8.6
Utility2.6
Positioning5.8
Opening Duels2.2
Clutch0.0

Sharp aimerLimited 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

sh1ro

Plays most like sh1ro 81% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 53% on T to 37% on CT — first contacts on the defending side are being lost.

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

Aim8.6
Positioning5.8
Utility2.6
Mechanics6.6
Opening Duels3.7
Win Impact10.0

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time524ms−93ms
first ⅓ avg 617ms → last ⅓ avg 524ms
Headshot accuracy19.5%−3.3%
first ⅓ avg 22.8% → last ⅓ avg 19.5%

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

0.20Best match rating · 9–1 · inferno, 27 Mar →
50%Best headshot accuracy · 9–1 · inferno, 27 Mar →
398msFastest reaction time · 13–6 · anubis, 22 Sept →
13–0Biggest win · mirage, 28 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
7–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 82% over 11vertigoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageA1710–759%-0.00
dust2A159–660%0.03
anubisA138–562%0.02
infernoS119–282%0.03
cacheB105–550%0.00
overpassS86–275%0.01
vertigoD82–625%-0.03
ancientS54–180%0.02
nukeA53–260%0.01
train—30–30%-0.03
office—22–0100%0.13
edin—10–10%-0.02
tuscan—10–10%0.02
apollo—10–10%0.00

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

201Matches
51%Win rate
1.24Avg K/D
110.3ADR
36%Headshot %

Clutches & streaks

20%1v1 clutch win
12%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust2250%1.6224.5
Mirage2100%1.2816.5
Overpass250%1.0416.5
Vertigo10%0.6817.0
Anubis1100%0.9416.0
Cache10%1.8344.0
Nuke1100%1.007.0
Ancient1100%1.2316.0

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.

19.5%Headshot accuracy
36.7%Accuracy (enemy spotted)
41.9%Spray accuracy
79.6%Counter-strafing
7.6°Preaim
517msReaction time
52.7%T opening success
36.9%CT opening success
0.39Enemies flashed / flash
0.0%Flash assists
5.73HE damage / grenade
1.37Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3888 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.9307% — below the 40% mark we flag

Spend your practice time on Vertigo

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis7–130.0312%1 Oct →
mirage13–9-0.0226%30 Sept →
dust213–80.0239%30 Sept →
ancient13–100.1220%30 Sept →
office13–60.1010%29 Sept →
inferno6–13-0.0114%29 Sept →
cache5–13-0.0325%28 Sept →
mirage13–00.1218%28 Sept →
anubis13–16-0.0415%28 Sept →
cache13–60.0723%27 Sept →
dust29–130.0219%27 Sept →
inferno13–80.0415%27 Sept →
ancient13–10-0.0319%27 Sept →
mirage13–8-0.0014%27 Sept →
mirage10–13-0.0517%24 Sept →
cache7–13-0.0319%24 Sept →
dust213–110.0514%24 Sept →
inferno16–130.0424%23 Sept →
anubis13–100.0826%23 Sept →
dust213–80.0233%22 Sept →
inferno13–10-0.025%22 Sept →
anubis13–60.1116%22 Sept →
dust213–40.1334%22 Sept →
cache13–60.0314%22 Sept →
mirage9–130.0123%22 Sept →
inferno13–7-0.0318%22 Sept →
dust213–6-0.0027%21 Sept →
anubis13–80.0214%21 Sept →
nuke13–30.0418%21 Sept →
nuke6–13-0.0518%20 Sept →
cache11–13-0.0426%20 Sept →
ancient15–15-0.0117%20 Sept →
cache13–110.1012%20 Sept →
anubis11–13-0.0026%20 Sept →
anubis13–110.0125%20 Sept →
cache8–13-0.0622%18 Sept →
inferno13–10-0.0022%15 Sept →
anubis5–13-0.0021%10 Sept →
dust213–90.0625%10 Sept →
mirage6–13-0.153%8 Sept →
dust29–13-0.0624%8 Sept →
cache2–13-0.0415%6 Sept →
dust212–160.0428%6 Sept →
anubis13–100.0620%6 Sept →
dust213–70.0231%6 Sept →
mirage11–70.1131%6 Sept →
dust27–13-0.0523%18 May →
dust28–13-0.0329%18 May →
inferno13–90.0111%18 May →
anubis2–13-0.0413%18 May →
edin5–13-0.0236%23 Feb →
overpass6–13-0.0320%16 Nov →
vertigo10–13-0.0229%16 Nov →
mirage13–100.0623%15 Nov →
anubis13–11-0.019%15 Nov →
vertigo6–13-0.0629%15 Nov →
ancient13–30.0010%15 Nov →
vertigo7–13-0.0323%13 Nov →
mirage13–50.058%13 Nov →
overpass13–8-0.0121%13 Nov →
office13–20.1633%12 Nov →
vertigo13–90.0136%12 Nov →
nuke13–80.0718%12 Nov →
vertigo14–16-0.0527%2 Nov →
overpass13–100.0426%2 Nov →
mirage13–40.0215%31 Oct →
ancient13–90.0415%31 Oct →
nuke13–2-0.024%31 Oct →
vertigo13–80.0025%28 Sept →
mirage3–13-0.0220%28 Sept →
dust213–20.1331%28 Sept →
mirage6–13-0.0738%27 Sept →
dust26–90.0330%17 Sept →
overpass8–13-0.097%17 Sept →
mirage13–10-0.0211%16 Sept →
mirage8–13-0.0731%11 Sept →
vertigo5–13-0.0318%10 Sept →
mirage13–11-0.0333%9 Sept →
overpass13–10-0.0515%9 Sept →
inferno13–20.1124%9 Sept →
anubis13–20.1026%9 Sept →
overpass13–90.0830%4 Sept →
overpass9–60.0417%14 Aug →
mirage9–50.0230%15 Apr →
train2–9-0.1021%15 Apr →
vertigo4–9-0.0512%12 Apr →
train8–80.1124%4 Apr →
tuscan6–90.0223%4 Apr →
anubis9–7-0.0113%4 Apr →
train7–9-0.0818%29 Mar →
inferno8–8-0.0129%28 Mar →
cache9–50.0121%27 Mar →
inferno9–6-0.0225%27 Mar →
mirage7–9-0.0221%27 Mar →
inferno9–10.2050%27 Mar →
overpass9–40.1320%30 May →
nuke8–80.0229%30 May →
apollo0–100.0027%8 Dec →
cache16–140.0022%8 Dec →
dust216–40.009%8 Dec →

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 →

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