RAJU

RAJU — CS2 Stats

76561198142192582[U:1:181926854]Steam profile ↗✓ No bans

599Tracked matches50%Win rate2020Tracked since
CSDB Rating5.7 SolidSupport
FaceitLevel 8 · 1,222 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (21 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,222 → 1,222
+31Tracked matches · now 599
+6.7ppWin rate · 43.3% → 50.0%

Rating over time

Premier CS Rating: 14,392 +335 16 May – 29 May · 6 days played
13,66114,392peak 14,39216 May29 May
Faceit ELO: 1,222 +0 4 Sept – 20 Sept · 3 observations
1,2221,222peak 1,2224 Sept20 Sept
14,650Peak Premier in tracked matches
1,222Highest Faceit ELO seen on CSDB
58Days played since 2025-05-16

Faceit ELO

  • At peak — 1,222
  • Next: Level 7 at 1,351 — 129 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-04
  • Level 5 first seen 2026-09-04

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.GGRAJUFACEITLevel 8 · 1,222 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,222csdb.gg/stats

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Performance scores

Aim71
Positioning63
Utility69

0–100 skill scores via Leetify.

Recent form

HOT49–50–1Last 10049%Win rateWLLWWWWWLW

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · −0.3pp headshot accuracy · +41ms reaction

Win rate up 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 531ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 545ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 525ms

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: Support — Utility contribution stands above the rest of this profile (+1.9 against its own average).

Aim7.1
Utility6.9
Positioning6.3
Opening Duels4.7
Clutch2.2

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

ZywOo

Plays most like ZywOo 82% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.1
Positioning6.3
Utility6.9
Mechanics6.5
Opening Duels4.4
Win Impact5.0

Composite 5.7/10 (Solid), 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 time521ms−46ms
first ⅓ avg 567ms → last ⅓ avg 521ms
Headshot accuracy16.0%−4.8%
first ⅓ avg 20.9% → last ⅓ avg 16.0%

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

0.16Best match rating · 13–2 · train, 16 May →
48%Best headshot accuracy · 2–13 · train, 23 May →
406msFastest reaction time · 13–11 · nuke, 19 Sept →
13–2Biggest win · mirage, 24 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–10In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 75% over 20mirageWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
infernoB2210–1245%0.02
anubisS2015–575%0.02
nukeB157–847%0.00
ancientB158–753%0.03
mirageD133–1023%0.01
dust2D72–529%-0.01
train—42–250%0.03
cache—21–150%0.01
overpass—21–150%0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (23% over 13). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

235Matches
51%Win rate
1.16Avg K/D
85.1ADR
46%Headshot %

Clutches & streaks

31%1v1 clutch win
28%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient4949%1.2417.6
Anubis4459%1.1217.3
Inferno4459%1.1816.4
Mirage3738%1.1516.4
Dust22642%1.1316.7
Nuke2357%1.1117.5
Cache743%1.0114.4
Overpass475%1.2216.0

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.

15.6%Headshot accuracy
34.6%Accuracy (enemy spotted)
37.1%Spray accuracy
79.4%Counter-strafing
10.3°Preaim
522msReaction time
41.5%T opening success
53.7%CT opening success
0.64Enemies flashed / flash
8.7%Flash assists
11.80HE damage / grenade
12.83Flashes / match

Recommended for you

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.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–100.0721%11 Oct →
nuke9–130.0225%11 Oct →
anubis11–13-0.017%5 Oct →
ancient16–14-0.0116%2 Oct →
anubis16–13-0.008%2 Oct →
inferno16–130.039%2 Oct →
anubis13–11-0.009%26 Sept →
mirage13–9-0.0219%26 Sept →
ancient3–130.0714%25 Sept →
anubis13–50.0830%25 Sept →
dust217–19-0.0612%22 Sept →
anubis13–30.0515%22 Sept →
inferno13–160.1022%20 Sept →
ancient8–13-0.0317%19 Sept →
nuke13–11-0.0220%19 Sept →
mirage13–16-0.0428%8 Sept →
ancient7–130.1113%8 Sept →
anubis9–13-0.0016%8 Sept →
ancient10–130.028%7 Sept →
anubis13–6-0.0211%5 Sept →
nuke6–130.0014%3 Sept →
ancient13–90.0312%3 Sept →
nuke22–200.0318%2 Sept →
cache4–130.0114%2 Sept →
anubis17–190.0511%2 Sept →
inferno13–160.0111%2 Sept →
mirage10–130.0230%2 Sept →
ancient13–90.059%1 Sept →
anubis16–14-0.0218%30 Aug →
anubis13–30.0314%23 Aug →
mirage7–13-0.0313%22 Aug →
ancient13–8-0.0319%17 Aug →
cache13–11-0.0025%16 Aug →
mirage9–130.0111%16 Aug →
ancient14–160.0328%16 Aug →
inferno13–90.0415%16 Aug →
inferno13–60.0010%14 Aug →
anubis13–50.0125%10 Aug →
nuke11–13-0.0419%10 Aug →
anubis14–160.0715%9 Aug →
anubis6–13-0.083%4 Aug →
inferno11–130.029%3 Aug →
inferno13–60.1017%3 Aug →
ancient13–50.1214%3 Aug →
dust210–13-0.0423%11 Jul →
dust25–13-0.1110%8 Jul →
anubis13–9-0.0014%8 Jul →
inferno8–13-0.0918%8 Jul →
anubis13–5-0.0117%8 Jul →
ancient13–90.0313%8 Jul →
inferno8–130.0220%7 Jul →
mirage6–13-0.0123%4 Jul →
nuke13–40.0320%4 Jul →
overpass13–50.0618%4 Jul →
anubis22–19-0.0110%4 Jul →
inferno8–13-0.0119%3 Jul →
mirage13–20.0823%24 Jun →
anubis13–3-0.0217%23 Jun →
dust213–30.0920%4 Feb →
inferno13–5-0.0316%4 Feb →
anubis13–110.0019%4 Feb →
inferno8–130.0114%19 Dec →
mirage7–130.0519%16 Dec →
nuke6–130.0115%16 Dec →
train13–80.0517%11 Dec →
mirage11–13-0.0025%10 Dec →
mirage5–13-0.0118%12 Nov →
inferno4–13-0.0330%10 Nov →
nuke9–13-0.0315%31 Oct →
nuke11–13-0.0416%6 Oct →
inferno14–160.0123%25 Sept →
mirage13–60.0013%25 Sept →
inferno6–130.0440%13 Sept →
inferno13–90.0618%11 Sept →
overpass7–13-0.0524%10 Sept →
train2–13-0.0626%4 Sept →
mirage8–13-0.0222%2 Sept →
nuke7–13-0.0015%22 Aug →
inferno13–60.0624%22 Aug →
ancient13–80.0714%22 Aug →
inferno13–80.0129%22 Aug →
dust23–130.0212%4 Aug →
inferno10–13-0.0214%29 Jul →
ancient13–110.0716%18 Jul →
nuke13–100.0324%18 Jul →
ancient10–13-0.0017%29 May →
nuke13–6-0.0420%29 May →
inferno12–12-0.0117%28 May →
anubis13–60.1313%27 May →
inferno13–60.1024%27 May →
nuke9–13-0.0217%27 May →
dust213–30.0428%27 May →
train2–13-0.0248%23 May →
dust22–13-0.0219%21 May →
inferno13–50.0814%19 May →
nuke13–90.0616%17 May →
ancient7–13-0.0116%17 May →
mirage10–130.0524%16 May →
anubis13–20.0917%16 May →
train13–20.1621%16 May →

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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