StRCaT

StRCaT — CS2 Stats

JP76561198051598754[U:1:91333026]Steam profile ↗✓ No bans

1,971Tracked matches60%Win rate2020Tracked since
7,023Hours in CS28Hrs last 2 wks
CSDB Rating7.5 StrongPositional Player
Premier CS Rating27,575Top 5% of 211,827 CSDB-tracked playersRed band · top ~1.8% of ranked players (population est.)
CSDB Leaderboard#3976 of 258808 tracked
FaceitLevel 8 · 1,518 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 27,575 +2,237 6 Aug – 27 Oct · 22 days played
25,05027,575peak 27,5756 Aug27 Oct
27,575Peak Premier in tracked matches
1,518Highest Faceit ELO seen on CSDB
30Days played since 2026-08-06

Faceit ELO

  • At peak — 1,518
  • Next: Level 8 at 1,531 — 13 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier CS Rating

  • At peak — 27,575
  • +906 over 30 days · improving
  • +2,237 over 90 days
  • Next: Gold band at 30,000 — 2,425 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate40.5%46.8%48.2%7.7% short
Shot accuracy15.3%13.0%13.2%above
Kill/death ratio0.801.061.070.27 short
Match win rate52.2%46.3%46.9%above

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGStRCaTFACEITLevel 8 · 1,518 ELOSTANDINGTop 31.2% of rankedPREMIER27,575 · Red bandPEAK ELO1,518csdb.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

Aim78
Positioning78
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY56–39–5Last 10056%Win rateWWWWLLLWLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −1.0pp headshot accuracy · −23ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 455ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 446ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 458ms

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 (+1.8 against its own average).

Aim7.8
Utility6.7
Positioning7.8
Opening Duels4.5
Clutch4.8

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.

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

NiKo

Plays most like NiKo 82% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Strengths

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim7.8
Positioning7.8
Utility6.7
Mechanics4.4
Opening Duels7.5
Win Impact8.3

Composite 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time470ms+23ms
first ⅓ avg 447ms → last ⅓ avg 470ms
Headshot accuracy17.2%−0.4%
first ⅓ avg 17.6% → last ⅓ avg 17.2%

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

0.12Best match rating · 13–1 · cache, 21 Sept →
50%Best headshot accuracy · 0–13 · mirage, 8 Oct →
344msFastest reaction time · 3–13 · inferno, 3 Oct →
13–0Biggest win · ancient, 2 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W4Current streak
11–10In matches decided by ≤2 rounds
16Overtime games

Map breakdown

nukeBest map · 80% over 5mirageWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
anubisA2212–1055%-0.00
ancientA2112–957%0.01
infernoA1710–759%0.02
mirageD133–1023%-0.02
cacheS128–467%0.03
dust2S107–370%0.00
nukeS54–180%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (23% over 13). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

159,847Lifetime kills
0.80K/D
10,118Matches
52.2%Match win rate · Top 10% of Level 8 players
40.5%Headshot %
15.3%Shot accuracy · Top 50% of Level 8 players
23,428MVPs
4,240Hours (in match)
11,569Bombs planted
2,499Bombs defused

Most-used weapons

AWP45,388
AK-4736,375
UMP-454,154
MAC-103,594
Knife3,073
FAMAS3,052

Lifetime map wins

20,665inferno
17,103dust2
2,848nuke
1,215vertigo
977train
724cbble
27office
22aztec

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

Faceit stats

Combat

1,026Matches
50%Win rate
1.00Avg K/D
79.3ADR
42%Headshot %

Clutches & streaks

44%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage31154%1.0014.9
Ancient16147%0.9515.3
Inferno15146%0.9514.9
Anubis10853%0.9515.9
Dust210149%1.0615.6
Nuke3336%0.9516.2
Vertigo3047%0.9715.6
Overpass2255%0.8514.6

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.

17.2%Headshot accuracy
37.6%Accuracy (enemy spotted)
38.4%Spray accuracy
69.9%Counter-strafing
9.4°Preaim
460msReaction time
60.7%T opening success
59.2%CT opening success
0.52Enemies flashed / flash
9.0%Flash assists
11.15HE damage / grenade
13.99Flashes / match

Recommended for you

Spend your practice time on Mirage

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust216–140.0016%28 Oct →
cache13–70.0411%27 Oct →
inferno13–11-0.0030%27 Oct →
ancient13–60.0219%27 Oct →
cache11–13-0.084%25 Oct →
mirage9–13-0.0318%25 Oct →
anubis11–130.0015%25 Oct →
mirage13–50.1117%25 Oct →
mirage6–130.0012%25 Oct →
nuke16–140.0914%24 Oct →
inferno13–100.0412%24 Oct →
dust213–30.0314%24 Oct →
ancient10–13-0.0110%24 Oct →
dust213–90.026%24 Oct →
cache13–5-0.0224%23 Oct →
dust26–130.0123%23 Oct →
mirage7–130.0118%23 Oct →
mirage7–13-0.0114%23 Oct →
inferno13–10-0.0123%21 Oct →
inferno17–190.0421%21 Oct →
mirage10–13-0.0133%20 Oct →
dust213–70.0723%17 Oct →
anubis11–130.0124%17 Oct →
inferno13–60.0913%17 Oct →
dust213–80.0914%14 Oct →
inferno13–11-0.0011%13 Oct →
anubis13–9-0.0212%13 Oct →
anubis16–120.0519%13 Oct →
dust213–11-0.0333%12 Oct →
ancient10–13-0.0411%12 Oct →
anubis13–110.0711%12 Oct →
dust210–130.0117%12 Oct →
mirage10–13-0.0224%12 Oct →
anubis19–170.0015%11 Oct →
inferno13–100.0421%11 Oct →
mirage2–13-0.0329%10 Oct →
anubis14–160.0315%10 Oct →
ancient15–150.0418%8 Oct →
mirage0–13-0.1250%8 Oct →
mirage13–90.0020%8 Oct →
anubis13–9-0.0619%8 Oct →
anubis13–9-0.0211%3 Oct →
cache11–130.0616%3 Oct →
inferno3–130.0823%3 Oct →
nuke13–90.0829%3 Oct →
cache15–150.0115%26 Sept →
dust216–130.0316%26 Sept →
ancient13–80.0231%26 Sept →
inferno6–13-0.0114%26 Sept →
inferno11–130.0725%21 Sept →
anubis5–13-0.0327%21 Sept →
cache13–10.1220%21 Sept →
nuke8–13-0.057%21 Sept →
ancient16–130.0223%17 Sept →
anubis13–11-0.0712%17 Sept →
ancient13–5-0.0315%13 Sept →
anubis9–13-0.0816%13 Sept →
cache13–110.0216%13 Sept →
cache13–90.0726%11 Sept →
anubis13–20.0217%11 Sept →
nuke13–80.0719%11 Sept →
cache6–13-0.0415%11 Sept →
ancient13–9-0.0113%7 Sept →
anubis7–13-0.0415%7 Sept →
ancient6–13-0.0322%7 Sept →
inferno9–130.0327%7 Sept →
anubis11–13-0.0231%7 Sept →
nuke16–12-0.0224%5 Sept →
ancient13–30.0215%5 Sept →
inferno13–9-0.0224%5 Sept →
anubis9–13-0.0018%5 Sept →
ancient13–20.0723%5 Sept →
anubis13–60.0324%2 Sept →
cache13–90.0619%2 Sept →
ancient13–00.0410%2 Sept →
inferno13–10-0.0213%2 Sept →
ancient15–15-0.0423%31 Aug →
inferno15–15-0.0214%31 Aug →
dust20–3-0.170%30 Aug →
mirage13–5-0.0419%30 Aug →
mirage2–13-0.0822%30 Aug →
mirage9–130.0029%30 Aug →
ancient5–13-0.0118%27 Aug →
inferno13–60.0611%27 Aug →
ancient13–90.0718%27 Aug →
anubis13–70.0417%27 Aug →
ancient13–30.1112%25 Aug →
anubis14–16-0.0115%25 Aug →
anubis13–90.048%25 Aug →
anubis14–160.0429%15 Aug →
ancient7–13-0.0517%15 Aug →
cache13–90.0121%13 Aug →
anubis13–9-0.0414%13 Aug →
ancient2–13-0.0616%13 Aug →
cache13–50.0816%13 Aug →
ancient13–50.0316%13 Aug →
ancient13–11-0.0614%13 Aug →
inferno15–15-0.0520%6 Aug →
ancient8–130.0212%6 Aug →
inferno13–110.0133%6 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 →

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