Renata — CS2 Stats

76561198327301428[U:1:367035700]

1,176Tracked matches68%Win rate2020Tracked since
3,868Hours in CS15Hrs last 2 wks
CSDB Rating6.1 SolidAggressive Rifler
Premier CS Rating17,728Purple band · top ~17.5% of ranked players (population est.)
CSDB Leaderboard#9884 of 17937 tracked
WingmanThe Global Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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 playerPink band medianvs Pink band
Headshot rate44.2%48.1%3.9% short
Shot accuracy17.5%12.9%above
Kill/death ratio1.121.08above
Match win rate51.1%46.5%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRenataPREMIER17,728 · Purple bandcsdb.gg/stats

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Performance scores

Aim79
Positioning45
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY582814Last 10058%Win rateTLLLTWLWWW

Last 10 vs previous 10: -30pp win rate · -0.08 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.9
Aggression6.8
Utility3.2
Positioning4.5
Opening Duels3.0
Clutch1.8

Limited 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.

Your pro match

ropz

Plays most like ropz 85% playstyle similarity

Most alike: opening-fight frequency, 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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

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

Reaction time. 604ms 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

Aim7.9
Positioning4.5
Utility3.2
Mechanics6.8
Opening Duels3.0
Win Impact10.0

Composite 6.1/10 (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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time569ms−12ms
first ⅓ avg 581ms → last ⅓ avg 569ms
Headshot accuracy25.0%+1.7%
first ⅓ avg 23.3% → last ⅓ avg 25.0%

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.

Highlights

0.24Best rating — inferno 9–1
132Biggest win — dust2
10Longest win streak
74In matches decided by ≤2 rounds
2Overtime games

Map breakdown

dust2Best map · 67% over 6infernoWeakest map · 59% over 79
MapGradePlayedRecordWin rateAvg rating
infernoA79473259%0.01
dust2S64267%0.00
nukeA53260%-0.02
mirage41325%-0.03
cache32167%-0.04
vertigo21150%-0.05
anubis1010%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (59% over 79). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

133,132Lifetime kills
1.12K/D · Top 50% of tracked players
7,345Matches
51.1%Match win rate · Top 25% of tracked players
44.2%Headshot %
17.5%Shot accuracy · Top 25% of tracked players
31,197MVPs
2,071Hours (in match)
5,154Bombs planted
1,598Bombs defused

Most-used weapons

AK-4732,950
AWP32,402
SSG 083,504
MP93,062
MP72,610
MAC-102,268

Lifetime map wins

17,229inferno
8,813dust2
3,768lake
3,589nuke
3,511vertigo
1,171train
697cbble
361office

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

Faceit stats

Combat

181Matches
52%Win rate
1.12Avg K/D
81.3ADR
46%Headshot %

Clutches & streaks

29%1v1 clutch win
36%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1753%0.9818.2
Dust21650%1.3217.7
Inferno862%1.0917.4
Nuke875%1.4616.8
Vertigo560%1.0317.8
Ancient3100%1.6123.3
Anubis333%1.3124.3
Overpass2100%1.5623.5

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.

22.3%Headshot accuracy
37.1%Accuracy (enemy spotted)
32.8%Spray accuracy
80.7%Counter-strafing
7.8°Preaim
604msReaction time
38.3%T opening success
46.0%CT opening success
0.50Enemies flashed / flash
4.6%Flash assists
10.92HE damage / grenade
1.68Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.676 — below the 4 mark we flag

    Grenade Lineups
  2. 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 38.3495% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
inferno8–8-0.0733%28 Aug
mirage16–190.0315%26 Aug
nuke4–9-0.1014%25 Aug
nuke7–9-0.1254%25 Aug
inferno8–8-0.0221%25 Aug
inferno13–11-0.0919%20 Aug
inferno7–13-0.0134%20 Aug
vertigo13–80.0233%19 Aug
nuke13–40.0117%19 Aug
inferno9–50.0527%19 Aug
inferno9–30.1335%19 Aug
inferno8–8-0.1119%19 Aug
mirage0–7-0.090%18 Aug
inferno8–80.0542%17 Aug
inferno9–5-0.008%17 Aug
inferno9–6-0.0524%17 Aug
inferno9–20.2132%17 Aug
inferno9–60.0318%17 Aug
inferno9–30.1733%17 Aug
inferno9–40.1125%17 Aug
inferno9–6-0.0323%17 Aug
inferno9–10.2441%17 Aug
inferno9–6-0.0410%17 Aug
inferno9–40.0718%17 Aug
inferno8–8-0.0228%17 Aug
inferno9–30.0421%17 Aug
inferno9–60.0821%17 Aug
inferno9–30.0926%17 Aug
dust213–90.0746%17 Aug
cache13–4-0.0421%17 Aug
inferno9–7-0.1415%17 Aug
inferno3–9-0.0222%17 Aug
inferno6–9-0.1224%16 Aug
inferno9–40.0435%16 Aug
inferno9–5-0.0632%16 Aug
inferno9–60.0926%16 Aug
inferno2–9-0.2010%16 Aug
inferno9–60.0231%15 Aug
inferno8–80.0135%14 Aug
inferno9–20.1325%14 Aug
cache12–12-0.056%13 Aug
inferno4–9-0.030%12 Aug
inferno4–9-0.0520%12 Aug
inferno0–9-0.1333%11 Aug
inferno9–40.0943%10 Aug
inferno9–60.0723%10 Aug
inferno9–50.1128%9 Aug
inferno9–40.0234%9 Aug
vertigo7–9-0.1326%9 Aug
inferno9–40.0830%9 Aug
nuke9–50.1146%9 Aug
nuke9–7-0.0133%9 Aug
inferno4–9-0.0719%9 Aug
inferno9–4-0.0144%9 Aug
inferno9–60.1419%9 Aug
inferno9–30.1123%9 Aug
inferno9–50.0750%8 Aug
inferno7–9-0.1710%8 Aug
inferno9–70.1117%8 Aug
inferno4–9-0.0825%8 Aug
inferno7–90.0132%7 Aug
inferno1–9-0.1536%5 Aug
inferno16–13-0.0219%2 Aug
inferno5–9-0.1750%2 Aug
inferno9–70.0321%2 Aug
inferno8–8-0.1022%2 Aug
inferno9–00.2024%2 Aug
inferno9–50.1224%2 Aug
inferno9–10.1015%2 Aug
inferno0–9-0.290%2 Aug
inferno8–8-0.0030%2 Aug
inferno9–60.0754%2 Aug
inferno9–00.2132%2 Aug
inferno9–50.1629%2 Aug
inferno8–80.0616%1 Aug
mirage12–12-0.0523%1 Aug
dust213–8-0.0213%1 Aug
inferno9–30.1114%1 Aug
inferno9–20.0927%1 Aug
inferno8–80.0327%1 Aug
inferno9–40.0417%1 Aug
inferno2–9-0.0214%29 Jul
inferno4–9-0.0810%29 Jul
inferno8–8-0.0612%29 Jul
inferno9–60.0825%29 Jul
inferno9–50.0733%29 Jul
inferno2–9-0.1018%28 Jul
inferno13–100.0429%27 Jul
anubis3–13-0.0318%27 Jul
cache13–11-0.0419%27 Jul
inferno3–13-0.0514%27 Jul
dust23–130.0118%27 Jul
inferno1–9-0.32100%27 Jul
inferno0–4-0.1310%27 Jul
mirage13–30.0013%26 Jul
dust26–13-0.0528%26 Jul
dust213–20.0221%26 Jul
inferno9–7-0.0113%26 Jul
inferno8–80.1214%24 Jul
dust213–9-0.0239%24 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →