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Rex-_^pliteee ♕

Rex-_^pliteee ♕ — CS2 Stats

76561197992395194[U:1:32129466]Steam profile ↗✓ No bans

1,232Tracked matches53%Win rate2020Tracked since
9,266Hours in CS13Hrs last 2 wks
CSDB Rating6.4 SolidAggressive Rifler
Premier CS Rating24,191Top 25% of 17,162 CSDB-tracked playersPink band · top ~3.9% of ranked players (population est.)
CSDB Leaderboard#6110 of 36066 tracked
FaceitLevel 10 · 2,065 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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 10 median
Headshot rate48.0%52.0%
Shot accuracy17.9%13.7%
Kill/death ratio1.041.08
Match win rate50.0%48.8%

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CSDB.GGRex-_^pliteee ♕FACEITLevel 10 · 2,065 ELOSTANDINGTop 12.4% of rankedPREMIER24,191 · Pink bandcsdb.gg/stats

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Performance scores

Aim80
Positioning54
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY54–46Last 10054%Win rateWLLWLWWWWL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.0
Aggression7.7
Utility6.8
Positioning5.4
Opening Duels3.0
Clutch3.6

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

b1t

Plays most like b1t 92% playstyle similarity

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

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 →

CSDB Rating breakdown

Aim8.0
Positioning5.4
Utility6.8
Mechanics5.7
Opening Duels3.0
Win Impact6.1

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time516ms−38ms
first ⅓ avg 554ms → last ⅓ avg 516ms
Headshot accuracy19.8%−1.5%
first ⅓ avg 21.3% → last ⅓ avg 19.8%

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

0.20Best rating — mirage 13–3
13–2Biggest win — mirage
5Longest win streak
11–8In matches decided by ≤2 rounds
15Overtime games

Map breakdown

anubisBest map · 65% over 20infernoWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
anubisS2013–765%0.02
mirageA1911–858%0.01
ancientA169–756%0.01
dust2B137–654%-0.01
infernoD134–931%0.03
cacheB115–645%-0.01
nukeA85–363%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

368,436Lifetime kills
1.04K/D
12,584Matches
50.0%Match win rate · Top 50% of Level 10 players
48.0%Headshot %
17.9%Shot accuracy · Top 25% of Level 10 players
38,811MVPs
6,632Hours (in match)
20,197Bombs planted
5,570Bombs defused

Most-used weapons

AK-47154,494
M4A4 / M4A1-S75,728
AWP40,580
P2000 / USP-S20,501
Glock-1813,835
Desert Eagle12,781
P25012,544
FAMAS5,470
Knife4,757
Galil AR3,516

Lifetime map wins

29,263inferno
28,156dust2
9,587train
8,871nuke
6,318cbble
1,572vertigo
150dust
138aztec

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

Faceit stats

Combat

1,572Matches
57%Win rate
1.10Avg K/D
74.6ADR
43%Headshot %

Clutches & streaks

38%1v1 clutch win
25%1v2 clutch win
25Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage6149%0.9715.0
Ancient5358%1.0814.8
Anubis5362%1.1014.9
Inferno3459%1.3216.6
Dust23043%1.0114.6
Nuke1457%1.0515.6
Overpass1258%1.0016.8
Vertigo1060%1.2315.0

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.

18.7%Headshot accuracy
36.9%Accuracy (enemy spotted)
38.2%Spray accuracy
75.8%Counter-strafing
9.2°Preaim
503msReaction time
34.9%T opening success
49.0%CT opening success
0.68Enemies flashed / flash
8.5%Flash assists
7.10HE damage / grenade
21.07Flashes / 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 34.8681% — below the 40% mark we flag

Spend your practice time on Inferno

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–30.2019%20 Aug →
cache1–13-0.0838%20 Aug →
cache10–13-0.0723%19 Aug →
nuke13–30.0725%18 Aug →
anubis17–190.0012%18 Aug →
dust213–30.0528%18 Aug →
cache13–100.0229%17 Aug →
mirage13–20.0326%17 Aug →
anubis13–110.0823%16 Aug →
nuke3–13-0.0635%16 Aug →
dust213–110.0023%16 Aug →
nuke10–13-0.0314%15 Aug →
nuke19–16-0.0114%15 Aug →
nuke13–11-0.0615%15 Aug →
inferno10–130.0729%15 Aug →
mirage2–13-0.0914%15 Aug →
dust210–13-0.0321%14 Aug →
inferno9–130.0212%14 Aug →
ancient13–50.0115%13 Aug →
cache14–160.0912%12 Aug →
mirage8–13-0.056%12 Aug →
anubis16–140.1120%10 Aug →
ancient16–120.0626%8 Aug →
anubis13–90.1219%7 Aug →
ancient13–90.0113%7 Aug →
nuke13–100.0127%7 Aug →
mirage14–16-0.0313%6 Aug →
ancient11–13-0.0018%6 Aug →
anubis13–5-0.012%6 Aug →
inferno12–16-0.0411%5 Aug →
dust213–8-0.0224%5 Aug →
dust216–13-0.0118%5 Aug →
mirage16–130.0428%4 Aug →
ancient13–70.0513%4 Aug →
ancient5–13-0.0715%4 Aug →
mirage7–13-0.0625%4 Aug →
inferno6–130.0239%3 Aug →
mirage13–40.0117%3 Aug →
ancient11–130.0413%2 Aug →
ancient13–110.0316%31 Jul →
dust27–13-0.0025%31 Jul →
ancient1–13-0.1019%31 Jul →
inferno7–130.0222%31 Jul →
nuke13–80.0430%31 Jul →
inferno9–13-0.0435%31 Jul →
ancient13–30.087%31 Jul →
mirage13–8-0.0214%30 Jul →
mirage9–130.0225%30 Jul →
anubis16–19-0.0417%30 Jul →
mirage13–60.0335%30 Jul →
inferno13–100.0829%30 Jul →
mirage16–120.0111%29 Jul →
cache2–13-0.0533%28 Jul →
dust213–90.0326%28 Jul →
inferno13–40.0618%27 Jul →
anubis11–130.0720%27 Jul →
dust26–13-0.0612%27 Jul →
cache13–11-0.0213%26 Jul →
anubis16–140.0818%26 Jul →
anubis4–13-0.095%25 Jul →
anubis13–20.0511%25 Jul →
anubis16–130.0320%25 Jul →
ancient2–13-0.0522%25 Jul →
anubis13–50.0610%25 Jul →
anubis13–4-0.0313%24 Jul →
ancient11–130.0019%23 Jul →
mirage13–8-0.0111%22 Jul →
anubis6–130.0734%22 Jul →
cache3–13-0.0412%22 Jul →
ancient13–5-0.0627%21 Jul →
dust26–13-0.0838%21 Jul →
cache13–11-0.0033%21 Jul →
mirage9–13-0.0619%19 Jul →
inferno13–40.1123%19 Jul →
ancient13–70.0818%19 Jul →
inferno6–13-0.0228%19 Jul →
ancient10–13-0.0126%18 Jul →
mirage14–16-0.0216%18 Jul →
ancient13–70.1110%17 Jul →
mirage13–90.0821%17 Jul →
anubis13–3-0.0616%16 Jul →
cache16–14-0.0212%16 Jul →
inferno13–100.1322%16 Jul →
inferno10–130.0128%16 Jul →
mirage7–130.0138%16 Jul →
cache8–130.026%15 Jul →
dust213–5-0.0132%15 Jul →
dust23–13-0.0217%15 Jul →
nuke7–130.0423%15 Jul →
mirage13–110.0223%15 Jul →
mirage13–4-0.0112%14 Jul →
dust213–100.0817%14 Jul →
anubis7–130.0319%14 Jul →
inferno8–13-0.0026%14 Jul →
anubis3–13-0.066%14 Jul →
dust23–13-0.0515%13 Jul →
cache13–60.0317%13 Jul →
anubis13–4-0.0123%13 Jul →
anubis13–6-0.0230%13 Jul →
anubis13–11-0.0513%13 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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