ront

ront — CS2 Stats

CV76561198033414641[U:1:73148913]Steam profile ↗✓ No bans

1,731Tracked matches37%Win rate2021Tracked since
1,923Hours in CS11Hrs last 2 wks
CSDB Rating3.6 LearningPositional Player
FaceitLevel 4 · 972 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Nov 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

+7Tracked matches · now 1,731
+3.3ppWin rate · 33.3% → 36.7%

Rating over time

1,088Highest Faceit ELO seen on CSDB
52Days played since 2026-01-25

Faceit ELO

  • 116 below peak (1,088)
  • Next: Level 5 at 1,051 — 79 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-19
  • Level 3 first seen 2026-09-19

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate35.0%42.7%43.8%8.7% short
Shot accuracy10.5%11.2%12.0%1.5% short
Kill/death ratio0.820.991.020.19 short
Match win rate44.3%43.9%44.7%meets

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGrontFACEITLevel 4 · 972 ELOSTANDINGTop 81.0% of rankedPEAK ELO1,088csdb.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

Aim37
Positioning57
Utility50

0–100 skill scores via Leetify.

Recent form

COLD45–52–3Last 10045%Win rateWLWLLLLWLL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −0.2pp headshot accuracy · +66ms reaction

Win rate down 20pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 666ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 678ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 645ms

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 (+1.7 against its own average).

Aim3.7
Utility5.0
Positioning5.7
Opening Duels2.1
Clutch3.4

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

Twistzz

Plays most like Twistzz 64% 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. 636ms 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

Aim3.7
Positioning5.7
Utility5.0
Mechanics4.6
Opening Duels2.8
Win Impact0.6

Composite 3.6/10 (Learning), 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-0.03−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time626ms−10ms
first ⅓ avg 636ms → last ⅓ avg 626ms
Headshot accuracy12.3%+1.3%
first ⅓ avg 11.0% → last ⅓ avg 12.3%

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

0.14Best match rating · 13–5 · dust2, 10 Apr →
24%Best headshot accuracy · 16–13 · nuke, 27 Apr →
484msFastest reaction time · 13–10 · ancient, 5 May →
13–1Biggest win · anubis, 9 Jun →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 52% over 27cacheWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeB2714–1352%-0.01
ancientC219–1243%-0.02
anubisB209–1145%-0.03
infernoB115–645%-0.01
cacheD61–517%-0.03
overpassC52–340%-0.03
dust2—41–325%0.03
mirage—43–175%-0.04
train—11–0100%0.07
aztec_hr—10–10%-0.07

Across the last 100 tracked matches.

Lifetime stats

36,786Lifetime kills
0.82K/D
2,331Matches
44.3%Match win rate · Top 50% of Level 4 players
35.0%Headshot %
10.5%Shot accuracy
4,207MVPs
1,035Hours (in match)
2,258Bombs planted
605Bombs defused

Most-used weapons

Lifetime map wins

4,433nuke
2,717inferno
2,118vertigo
1,972train
1,806dust2
60lake
47office
46cbble

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

Faceit stats

Combat

764Matches
48%Win rate
0.90Avg K/D
69.3ADR
33%Headshot %

Clutches & streaks

37%1v1 clutch win
18%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Nuke10653%0.9413.7
Ancient9947%0.8613.5
Anubis8555%0.9712.8
Overpass4556%0.8514.3
Inferno4231%0.8312.8
Train2846%0.8614.0
Dust22352%0.9714.7
Vertigo2030%0.9414.2

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.

11.7%Headshot accuracy
32.7%Accuracy (enemy spotted)
33.5%Spray accuracy
70.6%Counter-strafing
12.0°Preaim
636msReaction time
42.3%T opening success
40.0%CT opening success
0.57Enemies flashed / flash
1.6%Flash assists
8.45HE damage / grenade
7.53Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.0071° — above the 12° mark we flag

    Aim Training →
  2. 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 11.6905% — below the 15% mark we flag

    Aim Training →
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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient13–10-0.047%13 Nov →
dust210–13-0.0213%9 Nov →
mirage13–10-0.0315%9 Nov →
inferno4–13-0.1013%28 Oct →
anubis7–13-0.035%12 Oct →
cache10–13-0.0320%12 Oct →
ancient7–13-0.014%9 Oct →
cache13–100.0118%9 Oct →
anubis3–13-0.0823%9 Oct →
inferno7–13-0.033%25 Sept →
nuke13–110.037%25 Sept →
inferno6–130.0417%25 Sept →
ancient19–22-0.039%22 Sept →
nuke16–13-0.046%20 Sept →
anubis13–100.0314%18 Sept →
nuke8–13-0.0417%18 Sept →
ancient13–9-0.0215%14 Sept →
nuke13–6-0.0118%14 Sept →
mirage7–13-0.068%11 Sept →
dust29–130.0113%11 Sept →
inferno13–8-0.0114%3 Sept →
nuke7–130.0012%3 Sept →
anubis7–13-0.045%1 Aug →
ancient10–13-0.0413%1 Aug →
anubis5–13-0.039%26 Jul →
ancient6–13-0.078%26 Jul →
anubis13–60.0418%12 Jun →
ancient8–13-0.0611%9 Jun →
anubis13–1-0.0513%9 Jun →
cache11–13-0.049%3 Jun →
overpass13–6-0.0412%3 Jun →
ancient3–13-0.0921%29 May →
anubis5–13-0.0317%29 May →
nuke11–13-0.046%22 May →
ancient13–60.137%22 May →
cache5–13-0.053%21 May →
nuke6–13-0.067%21 May →
anubis13–11-0.0615%15 May →
nuke13–9-0.032%15 May →
inferno9–130.0015%14 May →
mirage13–8-0.036%13 May →
overpass13–8-0.0315%13 May →
inferno13–90.0314%11 May →
nuke19–170.047%11 May →
anubis13–9-0.0213%11 May →
nuke13–80.0312%7 May →
anubis13–9-0.0318%7 May →
overpass11–13-0.0218%7 May →
nuke13–20.0217%6 May →
inferno13–8-0.0122%6 May →
ancient13–100.0413%5 May →
nuke7–130.0119%5 May →
ancient13–8-0.0214%3 May →
nuke13–110.0115%3 May →
anubis13–4-0.014%3 May →
nuke16–13-0.0424%27 Apr →
dust210–13-0.0110%27 Apr →
train5–00.078%27 Apr →
anubis6–13-0.0414%16 Apr →
ancient13–100.0116%16 Apr →
nuke16–13-0.0320%14 Apr →
inferno13–20.0018%14 Apr →
nuke13–30.0816%13 Apr →
mirage13–10-0.0320%13 Apr →
dust213–50.1414%10 Apr →
cache8–13-0.0815%10 Apr →
aztec_hr11–13-0.0711%10 Apr →
anubis13–11-0.068%10 Apr →
nuke6–13-0.026%10 Apr →
ancient13–7-0.046%10 Apr →
inferno13–11-0.027%9 Apr →
nuke8–13-0.0614%9 Apr →
anubis7–13-0.0115%7 Apr →
ancient13–30.106%7 Apr →
nuke13–50.0521%28 Mar →
nuke13–100.0214%27 Mar →
cache8–130.0213%27 Mar →
anubis11–130.0015%26 Mar →
ancient9–130.025%26 Mar →
nuke12–16-0.019%24 Mar →
nuke1–9-0.210%24 Mar →
inferno15–15-0.016%23 Mar →
ancient10–13-0.0115%22 Mar →
ancient5–13-0.048%19 Mar →
anubis15–15-0.0118%19 Mar →
overpass11–13-0.038%13 Mar →
nuke7–13-0.0121%13 Mar →
ancient13–70.009%13 Mar →
overpass6–13-0.058%9 Mar →
ancient11–13-0.0515%4 Mar →
ancient8–13-0.080%28 Feb →
nuke5–130.026%28 Feb →
nuke13–9-0.0215%26 Feb →
anubis16–12-0.039%8 Feb →
nuke8–13-0.0618%6 Feb →
nuke5–13-0.0418%6 Feb →
anubis15–15-0.0415%1 Feb →
inferno8–13-0.0112%26 Jan →
anubis7–13-0.0711%26 Jan →
ancient8–13-0.0215%25 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.