Rewop

Rewop — CS2 Stats

76561197999157932[U:1:38892204]Steam profile ↗✓ No bans

1,556Tracked matches59%Win rate2020Tracked since
CSDB Rating6.4 SolidHybrid Rifler
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGRewopFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim67
Positioning65
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY474013Last 10047%Win rateTWLWWWLLWW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.7
Aggression9.3
Utility6.3
Positioning6.5
Opening Duels4.3

Strong CT-side opener

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

jL

Plays most like jL 93% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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

T-side openings. Opening success drops from 55% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 585ms 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

Aim6.7
Positioning6.5
Utility6.3
Mechanics6.1
Opening Duels4.3
Win Impact8.1

Composite 6.4/10 (Solid), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time584ms−19ms
first ⅓ avg 603ms → last ⅓ avg 584ms
Headshot accuracy18.8%−1.2%
first ⅓ avg 20.0% → last ⅓ avg 18.8%

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

0.18Best rating — vertigo 13–0
130Biggest win — vertigo
7Longest win streak
54In matches decided by ≤2 rounds
9Overtime games

Map breakdown

overpassBest map · 63% over 8ancientWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
infernoB189950%0.02
mirageA159660%0.03
trainC135838%0.04
cacheC114736%0.02
ancientD93633%0.02
overpassA85363%0.02
vertigoA74357%0.05
dust2C73443%-0.02
nukeB63350%-0.00
anubis42250%0.02
office1010%-0.07
grail1010%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

23Matches
52%Win rate
0.96Avg K/D
ADR
43%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWW

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.

18.2%Headshot accuracy
33.1%Accuracy (enemy spotted)
35.1%Spray accuracy
77.4%Counter-strafing
8.9°Preaim
585msReaction time
39.5%T opening success
54.8%CT opening success
0.64Enemies flashed / flash
10.7%Flash assists
13.26HE damage / grenade
9.01Flashes / 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

    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 39.5406% — below the 40% mark we flag

Spend your practice time on Ancient

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis12–120.0112%22 Jul
cache13–6-0.0123%6 Jul
train10–130.0321%17 Jun
ancient13–6-0.0223%11 Jun
mirage13–10-0.0014%8 Jun
vertigo13–7-0.034%8 Jun
inferno6–13-0.0618%7 Jun
cache4–13-0.0224%7 Jun
anubis13–90.0214%5 Jun
mirage13–50.1516%5 Jun
vertigo13–50.0632%5 Jun
vertigo10–13-0.0416%4 Jun
anubis13–80.0114%2 Jun
mirage13–80.0822%1 Jun
dust213–10-0.0117%31 May
cache11–130.0114%27 May
mirage12–12-0.0815%24 May
cache13–90.0719%24 May
nuke12–12-0.0226%24 May
inferno13–20.0724%24 May
ancient8–130.0017%23 May
vertigo5–13-0.0121%22 May
ancient13–10.1323%22 May
overpass13–80.0119%22 May
dust213–8-0.0227%22 May
cache8–130.0619%20 May
office11–13-0.0715%18 May
cache13–80.0220%16 May
mirage8–13-0.0210%15 May
cache7–130.0315%13 May
cache7–130.0424%13 May
cache10–130.0125%13 May
cache13–90.0516%11 May
cache6–13-0.0216%11 May
mirage12–120.0128%25 Apr
train13–110.0714%25 Apr
train12–120.0224%24 Apr
train5–13-0.0539%24 Apr
dust22–130.0229%5 Apr
inferno13–110.0016%11 Jan
inferno13–110.1616%23 Nov
mirage13–100.0319%2 Nov
mirage9–10.0840%2 Nov
train13–60.1124%2 Nov
mirage13–8-0.0018%26 Oct
inferno13–5-0.0414%18 Oct
overpass7–13-0.047%14 Oct
inferno9–130.0212%13 Oct
mirage11–13-0.0116%13 Oct
inferno13–110.0315%12 Oct
train12–120.0029%12 Oct
train8–130.0326%12 Oct
train13–80.0610%1 Oct
vertigo8–130.0120%1 Oct
train10–13-0.0110%1 Oct
inferno15–150.0213%1 Oct
inferno13–110.0313%30 Sept
train12–120.0913%30 Sept
inferno13–16-0.0320%30 Sept
dust213–16-0.0410%30 Sept
mirage13–40.0820%30 Sept
mirage13–20.0021%29 Sept
dust213–90.0015%29 Sept
train13–100.0420%29 Sept
mirage5–130.0126%29 Sept
ancient13–16-0.0311%28 Sept
inferno11–130.0527%28 Sept
mirage13–16-0.0414%28 Sept
overpass15–150.0120%28 Sept
inferno16–120.0413%28 Sept
mirage13–70.1316%28 Sept
overpass13–10.1126%28 Sept
dust26–13-0.093%28 Sept
nuke6–13-0.0124%28 Sept
ancient15–150.019%28 Sept
ancient13–80.0622%28 Sept
ancient8–13-0.0012%28 Sept
train13–80.0732%28 Sept
nuke13–90.0330%27 Sept
ancient9–130.0620%27 Sept
nuke13–16-0.0333%27 Sept
dust22–13-0.0428%27 Sept
inferno5–13-0.0628%27 Sept
overpass13–100.0120%27 Sept
overpass13–40.0638%26 Sept
overpass4–13-0.0214%24 Sept
train12–12-0.0026%15 Sept
ancient7–13-0.0415%5 Sept
vertigo13–00.1819%5 Sept
inferno13–70.1225%5 Sept
inferno12–12-0.0216%17 Aug
grail1–13-0.0316%17 Aug
overpass5–00.0129%17 Aug
nuke13–2-0.0018%20 Jul
inferno13–40.0716%20 Jul
inferno4–13-0.0524%20 Jul
vertigo13–20.1412%20 Jul
inferno9–130.0017%20 Jul
anubis12–120.0615%20 Jul
nuke13–60.0210%20 Jul

Match data via Leetify.

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →