Raptor

Raptor — CS2 Stats

DE76561198340263183[U:1:379997455]Steam profile ↗✓ No bans

2,013Tracked matches45%Win rate2020Tracked since
5,730Hours in CS5Hrs last 2 wks
CSDB Rating5.6 SolidPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (36 days ago). Ranks are recorded once per day this page is viewed.

+23Tracked matches · now 2,013
+18.2ppWin rate · 26.7% → 44.8%

Rating over time

Premier CS Rating: 10,296 -3,513 31 Jan – 31 Aug · 12 days played
10,29614,983peak 14,98331 Jan31 Aug
14,983Peak Premier in tracked matches
31Days played since 2026-01-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches35——
Win rate34%——
K/D0.93——
Headshot %51%——

Measured 5 Sep 2026 → 6 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=13,998), 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 4 medianLevel 5 medianvs Level 5
Headshot rate42.6%42.7%43.8%1.2% short
Shot accuracy12.8%11.3%12.0%above
Kill/death ratio0.890.991.020.12 short
Match win rate43.4%43.9%44.7%1.4% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRaptorFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim75
Positioning53
Utility35

0–100 skill scores via Leetify.

Recent form

COLD41–56–3Last 10041%Win rateWLLLWLLTLW

Last 10 vs previous 10: −50pp win rate · −0.01 avg rating · −0.1pp headshot accuracy · −63ms reaction

Win rate down 50pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 553ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 539ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 571ms

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: Positional Player — Positioning stands above the rest of this profile (+2.2 against its own average).

Aim7.5
Utility3.5
Positioning5.3
Opening Duels3.4
Clutch0.0

Limited utility dependence

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

s1mple

Plays most like s1mple 96% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; lower opening-duel success.

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. 581ms 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

Aim7.5
Positioning5.3
Utility3.5
Mechanics6.6
Opening Duels4.0
Win Impact3.3

Composite 5.6/10 (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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time597ms−57ms
first ⅓ avg 654ms → last ⅓ avg 597ms
Headshot accuracy19.9%−1.1%
first ⅓ avg 21.1% → last ⅓ avg 19.9%

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.

Personal bests

0.35Best match rating · 9–2 · vertigo, 1 Feb →
36%Best headshot accuracy · 4–9 · inferno, 6 Feb →
398msFastest reaction time · 13–6 · office, 4 Sept →
13–3Biggest win · ancient, 16 May →

Across the last 100 tracked matches.

Highlights

8Longest win streak
5–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 46% over 24ancientWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
infernoC3313–2039%-0.01
nukeB2411–1346%-0.01
dust2C114–736%-0.01
ancientD93–633%-0.02
officeC83–538%-0.03
mirageD62–433%-0.03
cache—31–233%-0.04
vertigo—33–0100%0.22
anubis—20–20%-0.05
boulder—11–0100%0.05

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.

Lifetime stats

99,518Lifetime kills
0.89K/D
5,463Matches
43.4%Match win rate
42.6%Headshot %
12.8%Shot accuracy · Top 50% of Level 4 players
11,485MVPs
2,025Hours (in match)
4,163Bombs planted
855Bombs defused

Most-used weapons

AK-4728,941
AWP11,392
MP71,794
P901,762
P2501,749

Lifetime map wins

9,389nuke
8,482dust2
6,356inferno
3,045office
2,590vertigo
776train
635cbble
261lake

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

Faceit stats

Combat

91Matches
53%Win rate
0.85Avg K/D
89.9ADR
42%Headshot %

Clutches & streaks

20%1v1 clutch win
17%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1070%1.1118.9
Inferno3100%0.8214.7
Nuke250%1.2621.0
Dust22100%1.5618.0
Vertigo1100%1.3117.0
Anubis1100%0.578.0

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.

19.5%Headshot accuracy
32.9%Accuracy (enemy spotted)
37.4%Spray accuracy
79.7%Counter-strafing
7.7°Preaim
581msReaction time
50.2%T opening success
41.9%CT opening success
0.51Enemies flashed / flash
5.7%Flash assists
9.63HE damage / grenade
1.97Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.966 — below the 4 mark we flag

    Grenade Lineups →
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 & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–10-0.0214%5 Oct →
office4–13-0.0627%29 Sept →
nuke11–130.0110%27 Sept →
ancient10–13-0.0813%18 Sept →
nuke13–40.1322%18 Sept →
nuke7–13-0.0420%13 Sept →
nuke11–13-0.0522%13 Sept →
mirage15–150.0221%13 Sept →
ancient10–13-0.0121%11 Sept →
inferno13–50.0329%11 Sept →
dust213–11-0.0418%11 Sept →
nuke16–130.0621%9 Sept →
inferno13–7-0.0111%6 Sept →
boulder13–40.0528%5 Sept →
office13–10-0.0320%5 Sept →
dust213–60.0217%5 Sept →
nuke13–10-0.0211%5 Sept →
nuke3–130.0719%5 Sept →
office8–13-0.0625%4 Sept →
office13–60.0532%4 Sept →
ancient13–90.0016%4 Sept →
inferno8–130.0818%4 Sept →
inferno8–130.0516%31 Aug →
inferno2–13-0.0623%25 May →
nuke5–13-0.0220%25 May →
office4–13-0.0615%25 May →
dust28–13-0.0124%16 May →
inferno7–13-0.0430%16 May →
inferno4–13-0.0913%16 May →
ancient13–30.0318%16 May →
cache12–30.0431%16 May →
cache11–13-0.0913%14 May →
office7–13-0.0024%14 May →
cache7–13-0.0618%6 May →
mirage7–13-0.0518%5 Apr →
inferno7–90.0217%29 Mar →
mirage6–13-0.0512%23 Feb →
nuke11–13-0.0511%23 Feb →
inferno7–13-0.0418%22 Feb →
dust26–130.0627%22 Feb →
dust214–160.0128%21 Feb →
ancient14–160.0024%21 Feb →
dust213–8-0.0311%21 Feb →
nuke13–70.0319%21 Feb →
inferno4–13-0.0711%13 Feb →
inferno9–4-0.0611%13 Feb →
ancient13–70.0124%9 Feb →
inferno11–130.0020%9 Feb →
dust29–13-0.0222%9 Feb →
nuke13–10-0.0218%8 Feb →
dust216–120.0118%8 Feb →
mirage13–4-0.0417%8 Feb →
dust214–16-0.0617%8 Feb →
office7–13-0.0124%8 Feb →
nuke4–9-0.0125%8 Feb →
inferno8–80.1215%8 Feb →
inferno9–60.0225%8 Feb →
inferno4–9-0.0816%8 Feb →
inferno9–50.0421%8 Feb →
dust28–13-0.0233%6 Feb →
anubis4–13-0.1111%6 Feb →
inferno13–8-0.0131%6 Feb →
inferno4–9-0.1236%6 Feb →
nuke16–13-0.0215%4 Feb →
ancient8–130.0223%4 Feb →
inferno9–60.0327%4 Feb →
nuke5–9-0.0926%2 Feb →
inferno8–8-0.0610%2 Feb →
vertigo9–10.2527%2 Feb →
inferno9–130.0129%1 Feb →
inferno7–13-0.0813%1 Feb →
inferno4–9-0.0327%1 Feb →
inferno9–7-0.0118%1 Feb →
nuke4–9-0.0130%1 Feb →
vertigo9–20.3519%1 Feb →
inferno6–9-0.0623%1 Feb →
nuke9–40.1113%1 Feb →
inferno5–9-0.0930%1 Feb →
inferno9–20.0819%1 Feb →
dust210–130.0118%1 Feb →
nuke9–130.0328%31 Jan →
nuke13–11-0.0315%31 Jan →
inferno4–13-0.0711%31 Jan →
ancient2–13-0.0722%31 Jan →
inferno13–11-0.0416%31 Jan →
nuke13–30.0033%31 Jan →
anubis7–130.0015%31 Jan →
mirage4–13-0.0929%31 Jan →
inferno9–50.0718%31 Jan →
ancient13–16-0.0412%30 Jan →
inferno13–8-0.0120%30 Jan →
nuke4–9-0.0116%30 Jan →
vertigo9–50.0724%30 Jan →
mirage13–80.0023%30 Jan →
office13–10-0.0425%29 Jan →
nuke13–110.0121%29 Jan →
nuke2–9-0.1320%29 Jan →
inferno9–60.1231%29 Jan →
inferno7–9-0.0217%29 Jan →
nuke9–13-0.0623%28 Jan →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.