RinaLaLeaf

RinaLaLeaf — CS2 Stats

DE76561197979198228[U:1:18932500]Steam profile ↗✓ No bans

2,862Tracked matches47%Win rate2020Tracked since
CSDB Rating5.4 DevelopingSupport
FaceitLevel 9 · 1,959 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,959 → 1,959
+18Tracked matches · now 2,862
+6.7ppWin rate · 40.0% → 46.7%
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. 47 days played since 27 Jan 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 21,051 -511 1 Feb29 Jun · 24 days played
21,05123,572peak 23,5721 Feb29 Jun
Faceit ELO: 1,959 +0 30 Aug3 Sept · 2 observations
1,9591,959peak 1,95930 Aug3 Sept
23,776Peak Premier in tracked matches
1,959Highest Faceit ELO seen on CSDB
47Days played since 2026-01-27

Faceit ELO

  • At peak — 1,959
  • Next: Level 10 at 2,001 42 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-30
  • Level 8 first seen 2026-08-30

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.GGRinaLaLeafFACEITLevel 9 · 1,959 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,959csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim67
Positioning54
Utility66

0–100 skill scores via Leetify.

Recent form

HOT44533Last 10044%Win rateWWLWLWWLWW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · −1.7pp headshot accuracy · −53ms reaction

Win rate up 30pp 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

  • 32 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 567ms

Last 10

  • 73 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 560ms

Last 20

  • 119 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 586ms

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 against its own average).

Aim6.7
Utility6.6
Positioning5.4
Opening Duels2.7
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 79% 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. 595ms 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
Positioning5.4
Utility6.6
Mechanics6.9
Opening Duels1.9
Win Impact3.9

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.04
first ⅓ avg -0.03 → last ⅓ avg 0.01
Reaction time594ms+16ms
first ⅓ avg 578ms → last ⅓ avg 594ms
Headshot accuracy19.8%+4.4%
first ⅓ avg 15.4% → last ⅓ avg 19.8%

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

0.16Best match rating · 5–1 · ancient, 29 Jun
40%Best headshot accuracy · 5–1 · ancient, 29 Jun
430msFastest reaction time · 9–13 · inferno, 17 Feb
13–0Biggest win · ancient, 6 Aug

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
116In matches decided by ≤2 rounds
13Overtime games

Map breakdown

dust2Best map · 70% over 10anubisWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
ancientC29111838%-0.01
infernoA2112957%-0.02
overpassC145936%-0.02
dust2S107370%-0.03
anubisD102820%-0.01
cacheA74357%0.01
mirageD72529%0.00
nuke21150%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,356Matches
50%Win rate
1.04Avg K/D
80.0ADR
39%Headshot %

Clutches & streaks

38%1v1 clutch win
23%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient38660%1.1416.0
Inferno20942%1.0715.7
Anubis19344%1.0114.7
Overpass11860%1.0914.5
Dust27244%0.8613.8
Vertigo6248%0.9214.3
Mirage6136%0.8612.5
Train3866%0.9614.6

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.

19.1%Headshot accuracy
32.9%Accuracy (enemy spotted)
37.4%Spray accuracy
81.1%Counter-strafing
10.4°Preaim
595msReaction time
32.4%T opening success
43.2%CT opening success
0.52Enemies flashed / flash
9.0%Flash assists
9.28HE damage / grenade
12.53Flashes / 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 32.3716% — below the 40% mark we flag

Spend your practice time on Anubis

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–40.0814%20 Sept
cache13–10-0.0118%19 Sept
dust210–13-0.0221%4 Sept
inferno13–90.0121%4 Sept
mirage12–16-0.0616%27 Aug
inferno16–13-0.0210%20 Aug
ancient13–6-0.0430%6 Aug
mirage14–160.0117%6 Aug
ancient13–00.1424%6 Aug
cache13–100.0516%24 Jul
cache13–110.039%24 Jul
inferno5–13-0.0523%24 Jul
cache11–130.0127%18 Jul
nuke2–13-0.058%17 Jul
anubis5–13-0.045%16 Jul
ancient4–130.0019%9 Jul
ancient13–7-0.0216%9 Jul
inferno13–4-0.0136%29 Jun
ancient5–10.1640%29 Jun
inferno6–130.0619%29 Jun
ancient10–130.0021%29 Jun
anubis11–13-0.0420%17 Jun
dust213–80.0112%17 Jun
ancient5–13-0.0423%17 Jun
ancient13–40.0315%14 Jun
ancient9–130.0226%14 Jun
overpass4–130.0423%23 May
ancient0–13-0.0233%23 May
overpass13–60.0321%21 May
ancient6–13-0.0117%18 May
anubis8–130.0216%18 May
dust213–8-0.0021%17 May
dust27–13-0.0617%17 May
inferno6–13-0.0825%15 May
ancient13–11-0.0320%15 May
ancient13–70.0412%14 May
ancient9–13-0.0314%14 May
anubis13–30.0730%14 May
ancient8–13-0.0116%3 May
inferno13–110.0017%3 May
dust213–70.0224%3 May
cache1–13-0.0212%3 May
anubis9–13-0.0318%2 May
cache11–130.0317%29 Apr
cache13–110.0013%29 Apr
overpass5–130.0116%30 Mar
inferno13–110.0420%30 Mar
mirage13–50.1123%30 Mar
anubis9–130.0210%29 Mar
dust213–9-0.0715%28 Mar
anubis13–9-0.0310%28 Mar
inferno16–140.0014%28 Mar
mirage13–110.0415%28 Mar
ancient8–13-0.0316%28 Mar
inferno9–13-0.0111%13 Mar
overpass13–8-0.028%7 Mar
dust213–9-0.1024%7 Mar
inferno8–13-0.0619%23 Feb
overpass9–13-0.0512%23 Feb
anubis10–13-0.0514%22 Feb
inferno13–10-0.1019%22 Feb
overpass13–7-0.0025%22 Feb
overpass7–13-0.0226%22 Feb
ancient9–13-0.077%22 Feb
nuke16–14-0.0415%19 Feb
inferno8–13-0.0723%19 Feb
ancient13–5-0.0012%19 Feb
inferno9–13-0.0724%17 Feb
anubis5–13-0.0619%17 Feb
inferno13–11-0.0415%16 Feb
overpass10–13-0.1017%16 Feb
mirage5–13-0.0222%12 Feb
ancient16–14-0.0313%11 Feb
ancient9–13-0.0110%10 Feb
dust213–16-0.0217%8 Feb
overpass13–60.0111%6 Feb
ancient11–13-0.0010%6 Feb
overpass13–3-0.0215%6 Feb
ancient13–9-0.0112%4 Feb
ancient11–13-0.0519%3 Feb
ancient6–13-0.0512%2 Feb
ancient16–13-0.0319%2 Feb
inferno7–13-0.0413%2 Feb
dust213–50.0018%1 Feb
inferno10–13-0.0218%1 Feb
anubis15–15-0.0222%31 Jan
ancient10–13-0.018%31 Jan
inferno16–14-0.0122%30 Jan
mirage15–15-0.0211%30 Jan
ancient7–13-0.0118%30 Jan
overpass5–13-0.0410%30 Jan
inferno13–8-0.0315%29 Jan
overpass9–13-0.076%29 Jan
dust213–9-0.0718%29 Jan
ancient3–13-0.0917%29 Jan
overpass13–16-0.0315%28 Jan
overpass6–13-0.017%28 Jan
mirage8–13-0.0526%27 Jan
inferno13–60.0521%27 Jan
ancient15–15-0.0110%27 Jan

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 →