RizaS

RizaS — CS2 Stats

DE76561198053189329[U:1:92923601]Steam profile ↗VAC banned

1,077Tracked matches52%Win rate2020Tracked since
3,377Hours in CS4Hrs last 2 wks
CSDB Rating5.7 SolidClutch Specialist
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Sep 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,077 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,276 +541 1 Jan – 8 May · 11 days played
19,99921,276peak 21,2761 Jan8 May
21,509Peak Premier in tracked matches
2,011Highest Faceit ELO seen on CSDB
25Days played since 2025-03-16

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.

Compare periods

Last 7 days vs previous 7

No matches recorded between 28 Sep 2026 and 3 Oct 2026.

Measured 28 Sep 2026 → 3 Oct 2026; previous 20 Sep 2026 → 28 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,304), 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 10 median
Headshot rate43.4%50.9%
Shot accuracy20.5%13.8%
Kill/death ratio1.281.09
Match win rate59.7%48.4%

Share this profile

CSDB.GGRizaSFACEITLevel 10STANDINGTop 12.4% of rankedPEAK ELO2,011csdb.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

Aim63
Positioning63
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY49–50–1Last 10049%Win rateLLLLWLWWWW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +4.3pp headshot accuracy · +24ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 575ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 563ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 551ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.5 against its own average).

Aim6.3
Utility5.6
Positioning6.3
Opening Duels4.3
Clutch10.0

Reliable in 1v1s

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

jL

Plays most like jL 83% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 593ms 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

Aim6.3
Positioning6.3
Utility5.6
Mechanics5.3
Opening Duels3.1
Win Impact5.6

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time591ms−31ms
first ⅓ avg 622ms → last ⅓ avg 591ms
Headshot accuracy17.2%−2.0%
first ⅓ avg 19.2% → last ⅓ avg 17.2%

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

0.13Best match rating · 13–3 · inferno, 24 May →
39%Best headshot accuracy · 13–7 · dust2, 2 May →
383msFastest reaction time · 4–13 · inferno, 24 Sept →
13–0Biggest win · ancient, 16 Apr →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L4Current streak
13–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

overpassBest map · 77% over 13nukeWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
infernoB2613–1350%0.01
ancientB179–853%-0.00
nukeC176–1135%-0.00
overpassS1310–377%0.02
anubisB105–550%0.00
dust2C94–544%0.01
train—42–250%0.00
mirage—30–30%-0.01
cache—10–10%-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

112,879Lifetime kills
1.28K/D · Top 25% of Level 10 players
6,310Matches
59.7%Match win rate · Top 5% of Level 10 players
43.4%Headshot %
20.5%Shot accuracy · Top 5% of Level 10 players
14,338MVPs
2,379Hours (in match)
5,363Bombs planted
1,634Bombs defused

Most-used weapons

AK-4743,524
AWP10,065
Knife3,567
P2501,915
Tec-91,502
P901,454

Lifetime map wins

9,656inferno
3,734dust2
2,128vertigo
1,920train
1,663nuke
1,365cbble
315bank
303lake

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

Faceit stats

Combat

1,327Matches
51%Win rate
1.32Avg K/D
71.9ADR
39%Headshot %

Clutches & streaks

75%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno2941%1.3218.3
Vertigo2850%1.2416.2
Anubis2879%1.3917.9
Overpass1759%1.0917.2
Nuke1127%0.8312.8
Ancient1136%1.0314.4
Dust2540%0.9915.2
Mirage40%1.0820.0

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.

17.6%Headshot accuracy
33.3%Accuracy (enemy spotted)
40.1%Spray accuracy
73.7%Counter-strafing
10.2°Preaim
593msReaction time
36.6%T opening success
48.0%CT opening success
0.64Enemies flashed / flash
14.4%Flash assists
8.15HE damage / grenade
5.04Flashes / 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 36.631% — below the 40% mark we flag

Spend your practice time on Nuke

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

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–13-0.044%27 Sept →
dust211–13-0.0323%22 Aug →
inferno2–13-0.0214%8 May →
anubis3–13-0.0811%8 May →
inferno16–140.0321%8 May →
ancient11–13-0.0215%8 May →
inferno13–6-0.0224%2 May →
dust213–70.0439%2 May →
anubis16–140.0421%25 Apr →
ancient13–4-0.0511%25 Apr →
overpass13–9-0.0113%25 Apr →
ancient13–3-0.0010%25 Apr →
inferno13–110.0711%5 Apr →
ancient13–60.0411%5 Apr →
overpass2–130.0316%5 Apr →
nuke3–13-0.0617%3 Apr →
anubis9–13-0.0617%3 Apr →
ancient13–90.0714%3 Apr →
nuke9–130.0013%3 Apr →
dust213–110.0117%28 Mar →
inferno6–13-0.0126%28 Mar →
dust216–130.0417%28 Mar →
mirage5–130.0519%28 Mar →
inferno13–11-0.0211%15 Mar →
ancient15–15-0.0438%15 Mar →
anubis13–70.0218%15 Mar →
nuke13–30.0311%15 Mar →
inferno9–13-0.0222%15 Mar →
nuke7–13-0.0518%15 Mar →
mirage14–16-0.0515%15 Mar →
ancient13–70.0117%14 Mar →
anubis13–40.0820%14 Mar →
ancient8–13-0.0514%14 Mar →
overpass13–20.006%14 Mar →
mirage9–13-0.0324%14 Mar →
ancient13–9-0.0111%14 Mar →
inferno7–13-0.0029%14 Mar →
inferno10–13-0.0126%14 Mar →
anubis13–110.0316%14 Mar →
nuke16–140.0214%14 Mar →
dust213–90.0215%14 Mar →
overpass14–160.0214%14 Mar →
ancient13–90.0317%14 Mar →
overpass13–80.0121%14 Mar →
anubis13–40.0621%13 Mar →
overpass11–130.0220%13 Mar →
dust27–13-0.0124%13 Mar →
overpass13–50.0818%13 Mar →
inferno13–16-0.0311%13 Mar →
nuke2–13-0.0123%13 Mar →
inferno10–13-0.0320%13 Mar →
nuke9–13-0.0217%13 Mar →
anubis7–130.0017%13 Mar →
nuke9–6-0.0216%13 Mar →
inferno13–110.0225%10 Mar →
anubis10–130.0313%6 Mar →
ancient13–110.0422%6 Mar →
anubis3–13-0.095%6 Mar →
inferno13–80.0426%6 Mar →
inferno6–130.069%5 Jan →
nuke12–16-0.0220%2 Jan →
overpass13–11-0.0012%2 Jan →
nuke10–130.0723%1 Jan →
overpass13–30.0024%1 Jan →
ancient9–13-0.0215%1 Jan →
overpass13–9-0.0022%1 Jan →
ancient10–13-0.0216%1 Jan →
dust24–130.0130%1 Jan →
nuke6–130.0024%1 Jan →
inferno13–6-0.0119%1 Jan →
inferno13–10-0.0518%27 Dec →
overpass13–9-0.0123%23 Nov →
inferno13–110.0112%23 Nov →
nuke13–50.0118%23 Nov →
ancient5–13-0.0321%23 Nov →
inferno9–13-0.018%23 Nov →
ancient7–13-0.0713%24 Sept →
inferno5–13-0.0719%24 Sept →
inferno4–130.0125%24 Sept →
train13–30.0312%27 Aug →
ancient9–130.0127%27 Aug →
overpass13–90.0824%27 Aug →
nuke13–40.0830%27 Aug →
inferno13–50.0715%27 Aug →
overpass13–110.0619%16 Jul →
dust211–13-0.0619%16 Jul →
nuke5–13-0.0317%16 Jul →
dust211–130.0721%4 Jun →
inferno11–13-0.059%4 Jun →
nuke7–13-0.0222%4 Jun →
inferno13–30.1313%24 May →
train13–30.0219%24 May →
train4–13-0.0324%24 May →
inferno13–90.0120%16 Apr →
nuke13–110.0518%16 Apr →
inferno8–13-0.0114%16 Apr →
ancient13–00.0710%16 Apr →
train9–13-0.0127%16 Mar →
inferno13–90.0428%16 Mar →
nuke6–13-0.0616%16 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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