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Romonoss — CS2 Stats

76561198118510567[U:1:158244839]✓ No bans

147Tracked matches48%Win rate2025Tracked since
297Hours in CS3Hrs last 2 wks
CSDB Rating2.9 Learning
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), 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 3 medianLevel 4 medianvs Level 4
Headshot rate38.6%42.1%42.5%3.8% short
Shot accuracy0.0%12.1%10.9%10.9% short
Kill/death ratio0.750.990.990.25 short
Match win rate36.8%43.9%44.2%7.4% short

This profile sits below the typical Level 4 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRomonossFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim25
Positioning39
Utility11

0–100 skill scores via Leetify.

Recent form

COLD43–43–14Last 10043%Win rateWWLLTLLLLW

Last 10 vs previous 10: -40pp win rate · -0.02 avg rating

Player DNA

Aim2.5
Aggression5.5
Utility1.1
Positioning3.9
Opening Duels0.8
Clutch2.6

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

NiKo

Plays most like NiKo 68% playstyle similarity

Most alike: opening-fight frequency, 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

Areas to improve

Reaction time. 745ms 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

Aim2.5
Positioning3.9
Utility1.1
Mechanics4.7
Opening Duels0.8
Win Impact4.4

Composite 2.9/10 (Learning), 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-0.02+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time752ms+33ms
first ⅓ avg 719ms → last ⅓ avg 752ms
Headshot accuracy8.1%−1.7%
first ⅓ avg 9.7% → last ⅓ avg 8.1%

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.

Highlights

0.11Best rating — nuke 8–1
13–0Biggest win — nuke
5Longest win streak
W2Current streak
7–5In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 67% over 6cacheWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
nukeB7836–4246%-0.03
cacheD72–529%-0.02
mirageS64–267%-0.00
dust2—31–233%-0.07
vertigo—20–20%-0.05
anubis—10–10%-0.05
train—10–10%-0.08
inferno—10–10%-0.05
ancient—10–10%-0.02

Across the last 100 tracked matches.

Lifetime stats

6,333Lifetime kills
0.75K/D
533Matches
36.8%Match win rate
38.6%Headshot %
0.0%Shot accuracy
748MVPs
173Hours (in match)
521Bombs planted
108Bombs defused

Most-used weapons

AK-471,300
M4A4 / M4A1-S1,285
AWP705
Galil AR375
P2000 / USP-S340
AUG322
Nova242
Glock-18234
SG 553217
FAMAS168

Lifetime map wins

1,394nuke
864dust2
351inferno
108train
79vertigo
22office
4ar_shoots
1ar_baggage

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

Faceit stats

Combat

28Matches
43%Win rate
0.66Avg K/D
54.5ADR
39%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno729%0.7810.1
Mirage683%0.7211.7
Dust250%0.509.0
Nuke560%0.579.8
Anubis367%0.8510.3
Cache10%0.397.0
Ancient10%0.509.0

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.

7.7%Headshot accuracy
37.1%Accuracy (enemy spotted)
35.5%Spray accuracy
71.1%Counter-strafing
13.7°Preaim
745msReaction time
36.8%T opening success
29.3%CT opening success
0.19Enemies flashed / flash
0.0%Flash assists
6.75HE damage / grenade
0.91Flashes / 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 13.7364° — 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 7.6504% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 745.0433ms — above the 700ms 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke13–30.036%10 Aug →
nuke13–5-0.020%10 Aug →
nuke7–13-0.069%9 Aug →
dust211–13-0.003%4 Aug →
cache12–120.016%1 Aug →
vertigo5–130.019%30 Jul →
cache9–13-0.0812%22 Jul →
anubis5–13-0.0519%22 Jul →
nuke10–13-0.0211%17 Jul →
nuke13–4-0.033%17 Jul →
nuke6–13-0.016%16 Jul →
dust213–10-0.068%14 Jul →
nuke3–13-0.020%13 Jul →
mirage13–3-0.0110%13 Jul →
nuke13–11-0.005%12 Jul →
nuke1–13-0.0518%12 Jul →
mirage13–3-0.019%11 Jul →
nuke8–10.113%10 Jul →
nuke13–6-0.024%10 Jul →
nuke13–110.013%10 Jul →
nuke13–1-0.0312%9 Jul →
nuke8–13-0.0914%9 Jul →
nuke11–13-0.068%9 Jul →
mirage9–13-0.0212%8 Jul →
nuke7–13-0.049%8 Jul →
nuke13–10-0.026%8 Jul →
nuke3–13-0.1311%7 Jul →
nuke13–6-0.0712%7 Jul →
nuke13–6-0.044%6 Jul →
nuke7–13-0.042%5 Jul →
mirage13–80.0411%5 Jul →
nuke13–110.0312%4 Jul →
nuke13–11-0.0311%4 Jul →
nuke12–12-0.0811%3 Jul →
nuke11–13-0.0423%2 Jul →
nuke13–4-0.057%2 Jul →
nuke12–12-0.0614%1 Jul →
nuke13–9-0.0414%1 Jul →
nuke10–130.057%30 Jun →
nuke12–12-0.0825%30 Jun →
nuke7–13-0.0613%29 Jun →
nuke13–5-0.0625%29 Jun →
nuke12–120.006%28 Jun →
nuke3–90.000%27 Jun →
nuke13–110.019%27 Jun →
nuke7–13-0.088%21 Jun →
nuke12–12-0.0910%21 Jun →
nuke13–4-0.0311%20 Jun →
nuke4–13-0.085%18 Jun →
nuke5–7-0.050%18 Jun →
mirage8–13-0.062%18 Jun →
nuke12–12-0.029%17 Jun →
nuke13–110.0122%17 Jun →
nuke6–13-0.075%16 Jun →
nuke6–13-0.047%16 Jun →
nuke12–12-0.0511%15 Jun →
nuke12–120.0619%13 Jun →
nuke9–13-0.079%12 Jun →
nuke13–60.025%12 Jun →
nuke7–13-0.082%9 Jun →
nuke2–13-0.093%9 Jun →
nuke13–7-0.0119%8 Jun →
nuke13–00.0632%6 Jun →
nuke13–10-0.0510%6 Jun →
nuke4–13-0.125%6 Jun →
nuke13–60.0320%5 Jun →
nuke9–13-0.072%5 Jun →
nuke4–1-0.090%5 Jun →
nuke12–120.0614%3 Jun →
nuke13–50.022%3 Jun →
vertigo2–13-0.108%2 Jun →
nuke13–80.0312%2 Jun →
nuke13–100.0514%1 Jun →
nuke12–12-0.0016%1 Jun →
nuke12–120.0118%29 May →
nuke6–13-0.088%27 May →
nuke6–13-0.050%27 May →
nuke13–9-0.029%24 May →
train4–13-0.0817%24 May →
nuke6–13-0.0718%23 May →
nuke8–13-0.0212%22 May →
nuke13–5-0.0915%22 May →
nuke12–12-0.084%22 May →
nuke13–10-0.039%21 May →
nuke11–13-0.009%20 May →
nuke13–9-0.0518%19 May →
nuke1–13-0.020%16 May →
inferno3–13-0.057%14 May →
ancient4–13-0.028%11 May →
nuke13–1-0.055%7 May →
nuke13–90.0910%7 May →
mirage13–20.0210%7 May →
nuke3–13-0.110%6 May →
cache11–13-0.0016%6 May →
cache7–13-0.0411%5 May →
cache13–10.0226%30 Apr →
cache12–12-0.0213%29 Apr →
cache13–6-0.020%29 Apr →
nuke13–100.0314%27 Mar →
dust21–4-0.150%27 Mar →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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