reno

reno — CS2 Stats

76561198190250785[U:1:229985057]Steam profile ↗✓ No bans

1,082Tracked matches43%Win rate2020Tracked since
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating8,717Light Blue band · top ~61% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 8,717 +220 30 Aug – 2 Nov · 44 days played
5,28212,641peak 12,64130 Aug2 Nov
12,641Peak Premier in tracked matches
1,042Highest Faceit ELO seen on CSDB
44Days played since 2025-11-15

Premier CS Rating

  • 3,924 below peak (12,641)
  • -1,282 over 30 days · declining
  • Next: Blue band at 10,000 — 1,283 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GGrenoPREMIER8,717 · Light Blue bandPEAK ELO1,042csdb.gg/stats

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Performance scores

Aim64
Positioning58
Utility22

0–100 skill scores via Leetify.

Recent form

COLD43–55–2Last 10043%Win rateLLLLLLWWLL

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +0.8pp headshot accuracy · −5ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 653ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 652ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 655ms

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).

Aim6.4
Utility2.2
Positioning5.8
Opening Duels2.9
Clutch0.0

Excellent counter-strafingStrong T-side openerLimited 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

donk

Plays most like donk 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Strengths

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

T openings. 79% T opening-duel success — entries that actually open the round.

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 79% on T to 33% on CT — first contacts on the defending side are being lost.

Reaction time. 669ms 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

Aim6.4
Positioning5.8
Utility2.2
Mechanics9.0
Opening Duels5.4
Win Impact2.8

Composite 5.0/10 (Developing), 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 rating-0.01−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time672ms−16ms
first ⅓ avg 688ms → last ⅓ avg 672ms
Headshot accuracy14.1%−3.0%
first ⅓ avg 17.1% → last ⅓ avg 14.1%

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

0.12Best match rating · 13–9 · nuke, 27 Sept →
30%Best headshot accuracy · 5–13 · cache, 27 Sept →
453msFastest reaction time · 10–13 · mirage, 30 Aug →
13–3Biggest win · dust2, 24 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L6Current streak
8–5In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 64% over 14cacheWeakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
dust2B2311–1248%0.00
mirageC166–1038%-0.01
infernoA149–564%-0.01
anubisC145–936%-0.02
cacheD132–1115%-0.04
ancientC125–742%-0.02
nukeA85–363%0.01

Across the last 100 tracked matches.

Faceit stats

Combat

11Matches
45%Win rate
0.74Avg K/D
52.8ADR
40%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient450%0.6210.0
Inferno20%0.183.0
Dust210%0.9416.0

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.

14.1%Headshot accuracy
35.5%Accuracy (enemy spotted)
35.8%Spray accuracy
90.7%Counter-strafing
10.3°Preaim
669msReaction time
79.5%T opening success
33.4%CT opening success
0.36Enemies flashed / flash
4.4%Flash assists
7.93HE damage / grenade
1.44Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.1358% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3592 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

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

    CT opening duels 33.415% — below the 40% mark we flag

Spend your practice time on Cache

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

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.0029%2 Nov →
dust28–13-0.024%2 Nov →
mirage9–13-0.1010%29 Oct →
dust27–130.0514%26 Oct →
mirage7–130.0412%25 Oct →
cache7–130.0116%25 Oct →
anubis13–110.0513%24 Oct →
nuke13–11-0.0417%23 Oct →
mirage10–13-0.0423%23 Oct →
anubis7–13-0.0315%23 Oct →
inferno13–50.0713%22 Oct →
dust213–90.0515%22 Oct →
ancient7–130.0314%20 Oct →
cache7–13-0.0615%19 Oct →
anubis8–2-0.0318%19 Oct →
inferno13–100.0121%18 Oct →
anubis9–13-0.0820%18 Oct →
nuke8–13-0.098%18 Oct →
ancient13–7-0.017%17 Oct →
cache7–13-0.0314%17 Oct →
inferno16–14-0.0111%17 Oct →
nuke13–70.0410%16 Oct →
dust213–9-0.0317%16 Oct →
inferno5–130.0014%16 Oct →
cache7–13-0.087%10 Oct →
nuke13–70.0811%10 Oct →
anubis13–11-0.0215%9 Oct →
ancient13–4-0.0813%9 Oct →
dust24–13-0.0211%8 Oct →
ancient6–13-0.0418%7 Oct →
ancient7–13-0.0313%6 Oct →
nuke2–13-0.075%6 Oct →
nuke13–50.0522%5 Oct →
anubis13–11-0.090%5 Oct →
dust213–10-0.0223%5 Oct →
mirage7–13-0.0316%5 Oct →
dust213–16-0.0114%5 Oct →
ancient3–13-0.103%5 Oct →
ancient2–130.0021%5 Oct →
dust216–13-0.0624%3 Oct →
dust213–10-0.0327%3 Oct →
dust28–130.0712%3 Oct →
mirage7–13-0.0216%2 Oct →
inferno13–7-0.0212%2 Oct →
anubis0–13-0.0414%2 Oct →
ancient6–130.0023%1 Oct →
mirage8–13-0.048%1 Oct →
mirage13–40.0216%1 Oct →
mirage13–50.0216%1 Oct →
inferno13–10-0.0918%30 Sept →
ancient14–16-0.0717%30 Sept →
dust28–13-0.0315%30 Sept →
anubis4–13-0.0327%30 Sept →
anubis11–130.0111%30 Sept →
dust213–100.0612%29 Sept →
cache10–13-0.0518%29 Sept →
dust213–5-0.0417%29 Sept →
anubis13–5-0.0118%27 Sept →
cache5–13-0.0230%27 Sept →
dust213–6-0.0516%27 Sept →
nuke13–90.1212%27 Sept →
dust213–60.0418%26 Sept →
ancient13–110.0013%26 Sept →
dust213–60.0226%26 Sept →
nuke9–13-0.0318%25 Sept →
ancient13–100.0421%25 Sept →
anubis7–130.0123%25 Sept →
dust213–30.1023%24 Sept →
anubis9–13-0.0312%23 Sept →
mirage13–6-0.0317%23 Sept →
dust29–13-0.0215%23 Sept →
cache11–13-0.0828%21 Sept →
inferno13–11-0.0313%21 Sept →
mirage7–130.0226%21 Sept →
cache8–13-0.0423%20 Sept →
mirage13–8-0.0516%18 Sept →
cache13–6-0.0821%17 Sept →
cache10–13-0.088%16 Sept →
anubis8–130.0221%15 Sept →
inferno13–50.0412%15 Sept →
dust211–130.0119%14 Sept →
inferno9–130.0422%13 Sept →
dust29–130.0820%13 Sept →
inferno11–13-0.0218%12 Sept →
cache4–13-0.0112%8 Sept →
dust28–13-0.0718%7 Sept →
mirage13–70.0618%7 Sept →
mirage13–70.0419%6 Sept →
cache15–15-0.0324%3 Sept →
inferno13–11-0.0017%2 Sept →
mirage4–13-0.059%31 Aug →
inferno8–13-0.0715%31 Aug →
dust215–150.0216%31 Aug →
dust28–130.0217%31 Aug →
mirage9–130.0521%30 Aug →
anubis10–130.0214%30 Aug →
inferno13–5-0.0013%30 Aug →
cache13–5-0.0011%30 Aug →
ancient13–7-0.0215%30 Aug →
mirage10–13-0.0113%30 Aug →

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 →

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