รภєє๔'ร Ŧєє๔ — CS2 Stats

76561197985249203[U:1:24983475]

1,202Tracked matches7%Win rate2022Tracked since
1,970Hours in CS4Hrs last 2 wks
CSDB Rating3.7 Learning
Ladder ranks via Leetify

Performance scores

Aim52
Positioning36
Utility13

0–100 skill scores via Leetify.

Recent form

COLD34606Last 10034%Win rateLLLLLLLLLL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Aim5.2
Aggression2.7
Utility1.3
Positioning3.6
Opening Duels0.0

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 69% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower aim profile; lower utility contribution.

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

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

Reaction time. 682ms 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

Aim5.2
Positioning3.6
Utility1.3
Mechanics7.9
Opening Duels0.1
Win Impact0.0

Composite 3.7/10 (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-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time674ms+4ms
first ⅓ avg 670ms → last ⅓ avg 674ms
Headshot accuracy15.9%−3.8%
first ⅓ avg 19.7% → last ⅓ avg 15.9%

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.

Highlights

0.14Best rating — office 4–0
133Biggest win — anubis
4Longest win streak
L26Current streak
73In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 53% over 19cacheWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB1910953%-0.03
officeC1881044%-0.00
ancientD1421214%-0.06
anubisD134931%-0.02
trainB84450%-0.03
cacheD6060%-0.04
overpassD62433%-0.02
nukeD61517%-0.03
mirage3030%-0.03
dust22020%-0.07
agency220100%-0.00
vertigo2020%-0.04
italy110100%-0.03

Across the last 100 tracked matches.

Lifetime stats

52,782Lifetime kills
0.92K/D
3,092Matches
41.1%Match win rate
39.9%Headshot %
13.9%Shot accuracy · Top 50% of tracked players
5,524MVPs
1,174Hours (in match)
2,774Bombs planted
425Bombs defused

Most-used weapons

AK-4713,704
AWP2,728
P2502,367
Nova2,222
MP71,645
MAC-101,087

Lifetime map wins

3,672inferno
3,096vertigo
2,486office
1,608dust2
1,302train
1,091nuke
692militia
441assault

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.3%Headshot accuracy
31.7%Accuracy (enemy spotted)
33.1%Spray accuracy
85.7%Counter-strafing
10.9°Preaim
682msReaction time
27.8%T opening success
30.5%CT opening success
0.29Enemies flashed / flash
5.5%Flash assists
3.22HE damage / grenade
1.34Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2902 — below the 0.5 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 27.7631% — 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.

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
cache9–13-0.0026%27 Aug
anubis10–130.0918%26 Aug
cache7–13-0.0112%20 Aug
inferno5–13-0.0915%20 Aug
ancient3–13-0.0931%16 Aug
inferno3–130.0121%16 Aug
ancient4–13-0.0513%16 Aug
cache7–13-0.0512%10 Aug
inferno4–13-0.048%5 Aug
inferno4–13-0.0430%3 Aug
anubis7–13-0.0415%2 Aug
cache10–13-0.0910%1 Aug
anubis7–13-0.0717%31 Jul
mirage3–13-0.088%23 Jul
cache9–13-0.029%23 Jul
ancient12–16-0.0626%20 Jul
inferno8–13-0.0229%19 Jul
ancient3–13-0.098%19 Jul
anubis9–13-0.0211%19 Jul
mirage11–130.0713%16 Jul
anubis2–13-0.079%16 Jul
ancient3–13-0.1210%15 Jun
overpass8–13-0.0025%14 Jun
ancient6–13-0.0510%14 Jun
ancient1–13-0.1421%13 Jun
anubis7–13-0.0115%13 Jun
inferno13–60.0518%8 Jun
inferno13–9-0.0123%6 Jun
dust24–13-0.0613%6 Jun
nuke5–13-0.108%6 Jun
ancient13–16-0.026%6 Jun
anubis13–5-0.0124%6 Jun
ancient4–13-0.1213%4 Jun
inferno16–14-0.0320%1 Jun
inferno13–11-0.0421%25 May
overpass8–13-0.0214%25 May
cache9–13-0.0613%10 May
inferno16–13-0.0212%25 Jan
inferno1–13-0.1032%25 Jan
inferno13–10-0.0313%13 Sept
office7–13-0.0526%13 Sept
office7–13-0.0914%11 Sept
train13–50.0020%6 Sept
office7–13-0.044%6 Sept
office13–11-0.0120%24 Aug
train6–13-0.0313%22 Aug
anubis6–13-0.0416%22 Aug
inferno12–12-0.099%20 Aug
ancient13–10-0.0410%20 Aug
anubis13–30.0513%19 Aug
inferno9–13-0.0829%19 Aug
train13–11-0.0322%18 Aug
overpass7–13-0.1017%18 Aug
ancient12–12-0.0417%17 Aug
train13–30.0132%17 Aug
office5–130.0228%17 Aug
office5–13-0.0114%17 Aug
office7–3-0.0550%16 Aug
office12–30.0933%16 Aug
anubis6–13-0.079%16 Aug
office12–120.0119%16 Aug
office13–70.1321%16 Aug
nuke8–13-0.0125%15 Aug
train11–13-0.0713%15 Aug
ancient13–70.0315%14 Aug
office13–6-0.0620%14 Aug
inferno13–90.0213%14 Aug
nuke9–130.0120%14 Aug
anubis9–13-0.0617%13 Aug
overpass13–90.0212%13 Aug
agency13–80.0343%10 Aug
ancient4–13-0.0311%10 Aug
inferno10–130.0518%10 Aug
nuke13–10-0.0220%10 Aug
train10–130.0119%10 Aug
office13–6-0.0030%9 Aug
nuke10–13-0.0517%9 Aug
overpass5–13-0.0711%9 Aug
office7–13-0.0317%9 Aug
office10–13-0.0227%9 Aug
agency13–10-0.0317%9 Aug
vertigo2–13-0.0723%9 Aug
inferno13–10-0.0719%9 Aug
anubis13–4-0.0416%8 Aug
train13–5-0.1117%8 Aug
inferno13–9-0.0319%8 Aug
nuke12–12-0.0223%6 Aug
office5–13-0.0713%6 Aug
italy13–11-0.0318%6 Aug
train11–13-0.0226%5 Aug
office12–12-0.0120%5 Aug
inferno16–130.0415%4 Aug
vertigo9–13-0.0115%4 Aug
office13–110.0013%3 Aug
office4–00.1460%3 Aug
anubis13–11-0.0123%3 Aug
overpass16–130.0520%3 Aug
ancient15–150.0118%2 Aug
dust20–13-0.070%2 Aug
mirage4–13-0.0715%2 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 →