Str1p

Str1p — CS2 Stats

76561199118011610[U:1:1157745882]Steam profile ↗✓ No bans

1,202Tracked matches52%Win rate2023Tracked since
1,012Hours in CS17Hrs last 2 wks
CSDB Rating8.1 StrongPositional Player
Premier CS Rating24,615Top 25% of 208,731 CSDB-tracked playersPink band · top ~3.4% of ranked players (population est.)
CSDB Leaderboard#26249 of 255832 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (20 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: 24,615 +12,288 16 Jan – 1 Oct · 16 days played
12,32724,849peak 24,84916 Jan1 Oct
24,962Peak Premier in tracked matches
42Days played since 2026-01-16

Premier CS Rating

  • 234 below peak (24,849)
  • +2,014 over 30 days · improving
  • Next: Red band at 25,000 — 385 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-15
  • Purple band first seen 2026-09-15

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
Matches75——
Win rate51%——
K/D1.64——
Headshot %53%——

Measured 20 Sep 2026 → 21 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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate48.9%46.9%49.3%meets
Shot accuracy1.3%13.0%13.4%12.1% short
Kill/death ratio1.471.081.12above
Match win rate51.8%46.7%48.5%above

This profile matches the typical Red band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGStr1pPREMIER24,615 · Pink bandcsdb.gg/stats

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Performance scores

Aim98
Positioning75
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY58–37–5Last 10058%Win rateWLLLWWWLLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −1.2pp headshot accuracy · −19ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 24%
  • Avg reaction 456ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 27%
  • Avg reaction 463ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 27%
  • Avg reaction 472ms

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).

Aim9.8
Utility6.2
Positioning7.5
Opening Duels6.4
Clutch1.0

Sharp aimer

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

jL

Plays most like jL 95% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Aim. Aim score of 98 — the mechanical foundation is a clear strength.

T openings. 68% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.8
Positioning7.5
Utility6.2
Mechanics8.3
Opening Duels8.1
Win Impact5.6

Composite 8.1/10 (Strong), 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 rating0.05−0.00
first ⅓ avg 0.05 → last ⅓ avg 0.05
Reaction time436ms−62ms
first ⅓ avg 498ms → last ⅓ avg 436ms
Headshot accuracy28.9%+3.1%
first ⅓ avg 25.8% → last ⅓ avg 28.9%

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

0.25Best match rating · 13–6 · dust2, 20 Jul →
100%Best headshot accuracy · 0–5 · mirage, 29 Jun →
109msFastest reaction time · 3–13 · anubis, 28 Sept →
13–0Biggest win · inferno, 29 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–2In matches decided by ≤2 rounds
3Overtime games

Map breakdown

vertigoBest map · 80% over 5cacheWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA2415–963%0.05
dust2S2014–670%0.06
officeB179–853%0.05
nukeA95–456%0.06
anubisS75–271%0.07
cacheD62–433%0.04
ancientC52–340%0.04
infernoC52–340%0.08
vertigoS54–180%0.00
overpass—10–10%0.11
train—10–10%0.04

Across the last 100 tracked matches.

Lifetime stats

34,584Lifetime kills
1.47K/D · Top 10% of Pink band
1,702Matches
51.8%Match win rate · Top 25% of Pink band
48.9%Headshot % · Top 50% of Pink band
1.3%Shot accuracy
4,969MVPs
550Hours (in match)
2,109Bombs planted
270Bombs defused

Most-used weapons

Lifetime map wins

3,360dust2
2,815office
1,138inferno
1,118nuke
737vertigo
98train
88italy
45cbble

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

Faceit stats

Combat

9Matches
56%Win rate
1.06Avg K/D
83.7ADR
39%Headshot %

Clutches & streaks

25%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage475%0.9814.5
Vertigo20%0.619.5
Nuke2100%1.6219.5
Anubis10%1.1218.0

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.

28.8%Headshot accuracy
40.5%Accuracy (enemy spotted)
42.7%Spray accuracy
87.5%Counter-strafing
5.0°Preaim
442msReaction time
68.1%T opening success
57.0%CT opening success
0.52Enemies flashed / flash
6.9%Flash assists
16.87HE damage / grenade
8.56Flashes / match

Recommended for you

Spend your practice time on Cache

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 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke9–10.0831%20 Oct →
mirage4–130.0229%15 Oct →
office5–130.0723%15 Oct →
nuke6–130.0420%13 Oct →
mirage13–100.0416%11 Oct →
office13–60.1131%9 Oct →
dust213–80.0016%9 Oct →
cache6–130.0533%5 Oct →
mirage6–130.0944%5 Oct →
mirage13–50.0625%4 Oct →
ancient12–120.0416%4 Oct →
office13–50.1128%4 Oct →
dust213–90.0238%4 Oct →
inferno9–130.068%1 Oct →
nuke1–13-0.0731%1 Oct →
mirage0–7-0.0820%1 Oct →
mirage4–130.0458%30 Sept →
cache2–130.0235%30 Sept →
mirage16–130.1122%30 Sept →
dust213–60.1324%30 Sept →
anubis13–10.0331%30 Sept →
mirage13–100.0840%30 Sept →
dust213–30.1649%30 Sept →
dust26–13-0.0317%29 Sept →
ancient13–30.0615%29 Sept →
ancient2–13-0.0419%29 Sept →
vertigo13–110.0531%29 Sept →
inferno13–00.1321%29 Sept →
mirage13–30.0335%29 Sept →
anubis3–13-0.0475%28 Sept →
dust22–13-0.0230%28 Sept →
vertigo1–130.0422%27 Sept →
dust213–110.1621%27 Sept →
office4–130.0226%25 Sept →
dust26–130.0120%25 Sept →
mirage1–13-0.0346%25 Sept →
dust213–20.0225%25 Sept →
overpass10–130.1129%23 Sept →
dust213–110.0427%23 Sept →
office9–130.0530%23 Sept →
mirage13–110.0430%23 Sept →
mirage13–100.1435%22 Sept →
anubis13–00.1121%21 Sept →
dust25–130.0953%20 Sept →
nuke14–160.0841%20 Sept →
mirage7–130.0971%20 Sept →
ancient13–100.1330%17 Sept →
mirage13–100.0537%16 Sept →
office13–50.0528%16 Sept →
inferno9–40.139%16 Sept →
anubis13–160.0321%14 Sept →
dust210–130.1423%30 Aug →
cache8–13-0.0631%30 Aug →
anubis13–100.1827%23 Aug →
nuke13–100.1031%23 Aug →
vertigo2–2-0.0533%23 Aug →
office2–13-0.0414%20 Aug →
nuke1–13-0.0227%20 Aug →
mirage13–100.0817%16 Aug →
dust213–50.0333%10 Aug →
cache10–130.0624%21 Jul →
dust213–60.2527%20 Jul →
train12–120.0435%20 Jul →
ancient7–130.0130%20 Jul →
mirage13–40.2042%19 Jul →
cache13–40.0634%19 Jul →
dust213–70.0634%19 Jul →
nuke13–10.0920%19 Jul →
dust29–130.0730%18 Jul →
office8–130.0725%18 Jul →
mirage13–110.0117%18 Jul →
office2–13-0.0118%16 Jul →
mirage13–20.1136%16 Jul →
nuke13–40.1626%16 Jul →
dust213–30.0833%16 Jul →
vertigo13–5-0.0526%15 Jul →
anubis13–90.0917%11 Jul →
office13–8-0.0422%7 Jul →
mirage12–120.0524%7 Jul →
dust213–110.0529%7 Jul →
dust213–5-0.0132%4 Jul →
office13–6-0.0226%3 Jul →
mirage11–13-0.0410%2 Jul →
mirage0–5-0.03100%29 Jun →
anubis13–30.0818%29 Jun →
mirage13–110.0425%29 Jun →
office13–40.0151%7 Jun →
office13–100.0723%6 Jun →
office12–120.1424%6 Jun →
cache13–30.1225%6 Jun →
nuke13–40.0916%18 Jan →
office12–120.0320%17 Jan →
vertigo13–110.0126%17 Jan →
dust213–50.0515%17 Jan →
inferno9–130.0228%17 Jan →
mirage13–40.036%17 Jan →
office13–80.1127%17 Jan →
mirage13–100.1018%16 Jan →
inferno9–130.0716%16 Jan →
office13–100.0421%16 Jan →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
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.