RaptoR

RaptoR — CS2 Stats

76561197961863006[U:1:1597278]Steam profile ↗✓ No bans

432Tracked matches40%Win rate2020Tracked since
CSDB Rating3.9 LearningSupport
CSDB Leaderboard#54697 of 223497 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 49 days played since 4 Jan 2022. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 21,582 +4,882 20 Nov7 Feb · 6 days played
16,64322,195peak 22,19520 Nov7 Feb
22,419Peak Premier in tracked matches
1,753Highest Faceit ELO seen on CSDB
49Days played since 2022-01-04

Faceit ELO

  • At peak — 1,753
  • Next: Level 10 at 2,001 248 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

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.

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CSDB.GGRaptoRPEAK ELO1,753csdb.gg/stats

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Performance scores

Aim40
Positioning38
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY49474Last 10049%Win rateWLLLWLWWWW

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · +6.2pp headshot accuracy · −63ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 29%
  • Avg reaction 586ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 26%
  • Avg reaction 631ms

Last 20

  • 812 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 663ms

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: SupportUtility contribution stands above the rest of this profile (+2.7 against its own average).

Aim4.0
Utility6.3
Positioning3.8
Opening Duels0.0
Clutch4.4

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 67% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 672ms 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

Aim4.0
Positioning3.8
Utility6.3
Mechanics6.6
Opening Duels0.0
Win Impact1.7

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time666ms+26ms
first ⅓ avg 640ms → last ⅓ avg 666ms
Headshot accuracy21.4%+5.6%
first ⅓ avg 15.8% → last ⅓ avg 21.4%

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

0.09Best match rating · 9–4 · overpass, 27 Sept
48%Best headshot accuracy · 8–13 · inferno, 20 Apr
469msFastest reaction time · 16–12 · inferno, 8 Jun
16–2Biggest win · nuke, 22 Sept

Across the last 100 tracked matches.

Highlights

4Longest win streak
65In matches decided by ≤2 rounds
34Overtime games

Map breakdown

nukeBest map · 60% over 15ancientWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB40192148%-0.04
infernoB189950%-0.03
nukeA159660%-0.02
ancientC83538%-0.03
dust242250%-0.05
vertigo4040%-0.05
overpass43175%0.02
train31233%-0.03
anubis220100%-0.02
thera1010%-0.04
cache110100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

867Matches
52%Win rate
0.85Avg K/D
52.3ADR
48%Headshot %

Clutches & streaks

42%1v1 clutch win
3%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage3546%0.6110.1
Inferno2157%0.6510.1
Nuke1164%0.7811.8
Train425%0.558.8
Overpass367%0.7910.7
Ancient10%0.335.0
Dust21100%0.254.0
Anubis10%0.569.0

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.

21.2%Headshot accuracy
24.4%Accuracy (enemy spotted)
28.3%Spray accuracy
79.5%Counter-strafing
10.8°Preaim
672msReaction time
22.3%T opening success
26.0%CT opening success
0.70Enemies flashed / flash
11.4%Flash assists
11.51HE damage / grenade
9.00Flashes / 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 22.2809% — 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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–90.0119%24 May
mirage8–13-0.0514%20 Apr
inferno8–13-0.0048%20 Apr
inferno10–13-0.0743%8 Apr
nuke13–50.0021%30 Mar
mirage11–13-0.0826%30 Mar
mirage13–9-0.0422%30 Mar
mirage13–50.0223%25 Mar
nuke13–7-0.0719%24 Mar
mirage13–50.0324%24 Mar
ancient9–130.0120%24 Mar
mirage9–13-0.0522%6 Dec
mirage8–13-0.0516%28 Nov
ancient12–16-0.0820%28 Nov
mirage8–130.0028%28 Nov
inferno9–13-0.0326%23 Nov
mirage14–16-0.0614%22 Nov
inferno13–8-0.077%21 Nov
mirage12–16-0.0417%20 Nov
nuke13–70.0525%18 Nov
inferno13–10-0.0414%18 Nov
mirage13–10-0.0515%18 Nov
mirage6–13-0.0829%17 Nov
inferno6–13-0.0825%17 Nov
nuke8–13-0.0524%16 Nov
inferno10–13-0.0118%16 Nov
mirage13–10-0.0713%16 Nov
dust213–9-0.0610%16 Nov
mirage8–13-0.0918%16 Nov
train10–13-0.0124%16 Nov
mirage10–13-0.0630%11 Nov
dust213–8-0.0123%11 Nov
mirage10–13-0.0310%11 Nov
train13–4-0.0119%11 Nov
nuke6–13-0.0618%11 Nov
mirage13–11-0.0438%1 Nov
mirage22–20-0.0616%1 Nov
mirage10–13-0.0611%31 Oct
train1–13-0.0623%31 Oct
inferno13–4-0.0722%5 Sept
nuke4–13-0.0919%26 Aug
mirage13–8-0.0220%24 Jun
nuke13–10-0.0122%16 Jun
mirage3–13-0.0910%27 May
mirage13–11-0.0132%1 Feb
inferno13–8-0.0126%1 Feb
mirage7–13-0.0716%25 Jul
mirage13–8-0.0212%25 Jul
thera8–13-0.0419%13 Jul
mirage13–8-0.0127%13 Jul
nuke12–12-0.0526%13 Jul
mirage13–11-0.0619%12 Jul
inferno10–130.0129%7 Feb
mirage13–10.0126%7 Feb
nuke9–13-0.0228%20 Jan
vertigo0–13-0.0833%20 Jan
ancient13–10-0.1033%20 Jan
mirage16–14-0.0211%15 Dec
inferno9–13-0.0227%15 Dec
nuke13–8-0.0719%15 Dec
ancient13–90.0420%15 Dec
mirage13–4-0.0426%15 Dec
anubis13–7-0.0414%15 Dec
ancient11–130.0115%13 Dec
nuke13–10.0940%13 Dec
mirage11–13-0.0015%13 Dec
mirage13–16-0.0321%10 Dec
inferno13–11-0.0611%10 Dec
inferno15–15-0.0416%21 Nov
mirage10–13-0.0811%21 Nov
anubis16–120.0025%20 Nov
vertigo6–13-0.0525%28 Sept
ancient15–15-0.0615%28 Sept
overpass9–40.0925%27 Sept
dust212–16-0.0920%30 Jun
inferno16–12-0.0122%30 Jun
overpass16–100.0117%27 Jun
inferno16–12-0.0126%8 Jun
nuke16–7-0.0122%19 Nov
overpass8–16-0.0413%19 Nov
dust214–16-0.0418%19 Nov
nuke16–80.0210%4 Nov
overpass16–90.037%4 Nov
vertigo15–15-0.0412%4 Nov
cache9–00.0321%4 Nov
vertigo18–22-0.0215%22 Sept
nuke16–20.0421%22 Sept
mirage16–110.0110%22 Sept
mirage16–100.0411%22 Sept
nuke12–16-0.0115%22 Sept
mirage21–25-0.0523%23 Feb
mirage19–15-0.0214%2 Feb
inferno16–13-0.0515%2 Feb
mirage8–16-0.049%27 Jan
ancient9–16-0.0411%27 Jan
mirage11–16-0.0411%18 Jan
mirage16–7-0.0311%15 Jan
inferno11–16-0.0521%11 Jan
mirage5–16-0.115%11 Jan
ancient22–19-0.0215%4 Jan

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 →