Rohn Jommay

Rohn Jommay — CS2 Stats

76561197978508441[U:1:18242713]Steam profile ↗✓ No bans

1,295Tracked matches54%Win rate2023Tracked since
CSDB Rating4.3 DevelopingPositional Player
Premier CS Rating16,763Purple band · top ~21.4% of ranked players (population est.)
FaceitLevel 5 · 843 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (26 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,295 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,763 -305 10 Aug – 22 Sept · 22 days played
15,00017,157peak 17,15710 Aug22 Sept
17,452Peak Premier in tracked matches
843Highest Faceit ELO seen on CSDB
26Days played since 2026-08-09

Faceit ELO

  • At peak — 843
  • Next: Level 4 at 901 — 58 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-09-22
  • Level 2 first seen 2026-09-22

Premier CS Rating

  • 394 below peak (17,157)
  • -394 over 30 days · steady
  • Next: Pink band at 20,000 — 3,237 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-22
  • Blue band first seen 2026-09-22

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.GGRohn JommayFACEITLevel 5 · 843 ELOSTANDINGTop 67.6% of rankedPREMIER16,763 · Purple bandPEAK ELO843csdb.gg/stats

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Performance scores

Aim45
Positioning44
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateWLWLWWWWLL

Last 10 vs previous 10: +20pp win rate · −0.03 avg rating · +2.1pp headshot accuracy · −1ms reaction

Win rate up 20pp 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 (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 628ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 599ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 600ms

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 (+1.3 against its own average).

Aim4.5
Utility4.2
Positioning4.4
Opening Duels0.0
Clutch3.8

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 79% 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. 615ms 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

Aim4.5
Positioning4.4
Utility4.2
Mechanics5.2
Opening Duels0.1
Win Impact6.2

Composite 4.3/10 (Developing), 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-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time612ms+33ms
first ⅓ avg 579ms → last ⅓ avg 612ms
Headshot accuracy10.9%−0.6%
first ⅓ avg 11.5% → last ⅓ avg 10.9%

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 · 13–0 · inferno, 1 Sept →
26%Best headshot accuracy · 13–5 · inferno, 25 Aug →
359msFastest reaction time · 7–13 · ancient, 15 Sept →
13–0Biggest win · inferno, 1 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–12In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 60% over 20anubisWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
nukeA2012–860%-0.01
dust2C198–1142%-0.01
infernoC188–1044%-0.00
ancientC146–843%-0.02
mirageA106–460%-0.01
anubisD103–730%-0.00
cacheC52–340%-0.02
office—10–10%-0.01
boulder—11–0100%0.09
vertigo—10–10%-0.07
train—11–0100%-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

192Matches
55%Win rate
0.81Avg K/D
65.3ADR
38%Headshot %

Clutches & streaks

39%1v1 clutch win
15%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage4045%0.7510.4
Inferno3546%0.7711.7
Nuke3269%1.0812.8
Dust23152%0.7211.4
Ancient2050%0.7611.8
Anubis2070%0.7311.4
Train771%0.7210.7
Cache683%0.7810.3

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.

11.1%Headshot accuracy
33.8%Accuracy (enemy spotted)
36.9%Spray accuracy
73.2%Counter-strafing
11.8°Preaim
615msReaction time
25.9%T opening success
30.6%CT opening success
0.35Enemies flashed / flash
4.8%Flash assists
10.38HE damage / grenade
5.51Flashes / 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 11.1093% — 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 0.3471 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 25.8663% — 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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–110.0322%22 Sept →
nuke10–13-0.0518%22 Sept →
mirage13–10-0.057%15 Sept →
ancient7–13-0.086%15 Sept →
nuke13–80.0012%15 Sept →
nuke13–7-0.0211%14 Sept →
nuke13–7-0.0214%14 Sept →
inferno13–10-0.016%11 Sept →
anubis8–13-0.092%11 Sept →
cache11–13-0.0316%11 Sept →
nuke15–15-0.026%11 Sept →
anubis4–13-0.049%10 Sept →
inferno13–30.0514%10 Sept →
mirage6–13-0.027%10 Sept →
ancient5–13-0.014%10 Sept →
inferno11–130.0015%10 Sept →
mirage13–10.0110%10 Sept →
dust213–100.0511%9 Sept →
anubis11–13-0.016%9 Sept →
nuke13–70.0112%7 Sept →
ancient9–13-0.0116%7 Sept →
ancient13–10-0.048%7 Sept →
dust28–13-0.0312%6 Sept →
ancient13–11-0.028%6 Sept →
nuke9–50.0117%6 Sept →
mirage13–30.014%6 Sept →
dust24–13-0.0415%6 Sept →
inferno10–13-0.0113%3 Sept →
dust215–150.0413%3 Sept →
anubis13–8-0.0017%3 Sept →
ancient7–40.019%3 Sept →
nuke13–90.048%3 Sept →
ancient15–15-0.0010%3 Sept →
mirage6–13-0.0419%3 Sept →
dust216–130.0110%3 Sept →
nuke9–13-0.0019%2 Sept →
inferno9–13-0.0112%2 Sept →
inferno15–15-0.0217%1 Sept →
nuke13–70.036%1 Sept →
inferno13–00.1222%1 Sept →
office4–13-0.0116%31 Aug →
boulder13–70.098%31 Aug →
anubis11–130.058%31 Aug →
dust210–13-0.026%31 Aug →
anubis10–130.0513%30 Aug →
ancient13–9-0.0220%30 Aug →
dust214–16-0.0514%29 Aug →
nuke11–13-0.0511%29 Aug →
ancient7–13-0.0210%29 Aug →
vertigo6–13-0.0724%29 Aug →
dust29–13-0.0417%29 Aug →
inferno11–130.0118%28 Aug →
nuke13–60.0511%28 Aug →
inferno2–13-0.0613%28 Aug →
nuke13–8-0.065%27 Aug →
mirage13–8-0.029%27 Aug →
ancient10–13-0.0214%27 Aug →
nuke13–10-0.0415%27 Aug →
ancient10–13-0.0612%27 Aug →
inferno7–13-0.0313%27 Aug →
inferno5–13-0.068%27 Aug →
nuke13–30.044%26 Aug →
mirage11–13-0.0115%26 Aug →
mirage7–13-0.038%26 Aug →
dust29–13-0.017%26 Aug →
anubis16–120.095%25 Aug →
cache13–70.0412%25 Aug →
nuke9–13-0.0213%25 Aug →
dust27–13-0.0211%25 Aug →
inferno13–50.0326%25 Aug →
anubis11–130.008%24 Aug →
dust213–90.0312%24 Aug →
dust213–70.0216%24 Aug →
dust26–13-0.0010%24 Aug →
dust213–50.007%23 Aug →
ancient13–100.0111%23 Aug →
inferno11–130.019%23 Aug →
nuke13–80.007%23 Aug →
nuke10–13-0.0611%15 Aug →
dust213–3-0.0210%15 Aug →
cache1–13-0.0613%14 Aug →
inferno11–13-0.0511%14 Aug →
dust20–11-0.0714%14 Aug →
inferno13–10-0.0517%14 Aug →
anubis7–13-0.0514%14 Aug →
cache13–6-0.016%14 Aug →
nuke9–13-0.0310%14 Aug →
mirage13–110.0313%12 Aug →
train13–8-0.0018%12 Aug →
inferno13–60.054%12 Aug →
cache4–13-0.0317%12 Aug →
dust213–30.077%12 Aug →
dust29–13-0.026%11 Aug →
anubis13–10-0.028%11 Aug →
inferno13–0-0.0217%10 Aug →
dust213–11-0.0012%10 Aug →
ancient13–11-0.0216%10 Aug →
ancient20–22-0.055%10 Aug →
nuke3–13-0.0913%9 Aug →
mirage19–17-0.017%9 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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