Tipet

Tipet — CS2 Stats

NZ76561198119477387[U:1:159211659]Steam profile ↗✓ No bans

4,001Tracked matches52%Win rate2020Tracked since
4,479Hours in CS
CSDB Rating6.4 SolidPositional Player
Premier CS Rating24,543Top 25% of 212,133 CSDB-tracked playersPink band · top ~3.5% of ranked players (population est.)
CSDB Leaderboard#27454 of 259074 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Oct 2026 (14 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: 24,543 +867 1 Aug – 17 Oct · 17 days played
23,25724,543peak 24,5431 Aug17 Oct
24,543Peak Premier in tracked matches
41Days played since 2026-08-01

Premier CS Rating

  • At peak — 24,543
  • +399 over 30 days · steady
  • +867 over 90 days
  • Next: Red band at 25,000 — 457 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-03
  • Purple band first seen 2026-09-03

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 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 rate38.1%46.9%49.3%11.2% short
Shot accuracy11.5%13.0%13.4%1.9% short
Kill/death ratio1.191.081.12above
Match win rate41.8%46.7%48.5%6.7% short

This profile matches the typical Red band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGTipetPREMIER24,543 · Pink bandcsdb.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

Aim85
Positioning57
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY48–47–5Last 10048%Win rateLLLLLWLWWW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −7.0pp headshot accuracy · −43ms reaction

Win rate down 20pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 544ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 558ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 579ms

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 (+1.1 against its own average).

Aim8.5
Utility4.2
Positioning5.7
Opening Duels4.0
Clutch4.4

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

sh1ro

Plays most like sh1ro 92% playstyle similarity

Most alike: opening-duel success, positioning 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

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

Reaction time. 592ms 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

Aim8.5
Positioning5.7
Utility4.2
Mechanics6.4
Opening Duels4.1
Win Impact5.6

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 rating0.02+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time587ms−12ms
first ⅓ avg 599ms → last ⅓ avg 587ms
Headshot accuracy17.7%−3.8%
first ⅓ avg 21.5% → last ⅓ avg 17.7%

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

0.20Best match rating · 13–6 · cache, 8 Oct →
50%Best headshot accuracy · 0–4 · vertigo, 23 Sept →
422msFastest reaction time · 13–16 · inferno, 1 Aug →
13–2Biggest win · cache, 17 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L5Current streak
7–3In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 67% over 18trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB209–1145%0.01
cacheS1812–667%0.01
infernoC125–742%0.01
ancientB115–645%-0.01
dust2A95–456%0.02
vertigoD72–529%0.02
officeC52–340%-0.00
trainD51–420%-0.01
nukeA53–260%0.04
anubis—42–250%-0.00
overpass—21–150%0.05
italy—11–0100%0.12
shelter—10–10%-0.01

Across the last 100 tracked matches.

Lifetime stats

249,892Lifetime kills
1.19K/D · Top 50% of Pink band
11,567Matches
41.8%Match win rate
38.1%Headshot %
11.5%Shot accuracy
18,134MVPs
4,479Hours (in match)
6,133Bombs planted
2,112Bombs defused

Most-used weapons

AK-4776,676
AWP40,546
P2507,792
MAC-105,037
MP94,901

Lifetime map wins

22,839dust2
12,194inferno
4,540nuke
3,666vertigo
1,634train
1,295office
539cbble
220italy

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

Faceit stats

Combat

149Matches
58%Win rate
1.25Avg K/D
84.0ADR
36%Headshot %

Clutches & streaks

42%1v1 clutch win
15%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust21861%1.2115.8
Mirage1759%1.0917.1
Ancient1457%1.0616.1
Inferno956%1.3317.4
Anubis743%1.4017.1
Nuke560%1.0718.2

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.

18.2%Headshot accuracy
40.3%Accuracy (enemy spotted)
44.6%Spray accuracy
78.7%Counter-strafing
8.0°Preaim
592msReaction time
50.0%T opening success
43.1%CT opening success
0.51Enemies flashed / flash
5.5%Flash assists
7.96HE damage / grenade
6.39Flashes / match

Recommended for you

Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage10–130.0119%29 Oct →
mirage2–13-0.0212%29 Oct →
ancient1–13-0.073%29 Oct →
office1–50.0114%29 Oct →
office4–13-0.0216%29 Oct →
cache3–00.000%22 Oct →
cache4–130.0523%22 Oct →
cache13–70.0216%22 Oct →
cache13–40.0211%17 Oct →
ancient13–110.0516%17 Oct →
cache13–20.0327%17 Oct →
cache13–5-0.0115%17 Oct →
mirage13–80.0216%17 Oct →
overpass2–13-0.0713%15 Oct →
ancient13–70.099%15 Oct →
mirage13–50.1137%12 Oct →
mirage13–70.0812%12 Oct →
mirage7–13-0.0426%11 Oct →
inferno10–130.0122%10 Oct →
ancient7–13-0.0124%10 Oct →
cache13–50.0418%9 Oct →
dust213–110.0518%9 Oct →
cache13–60.2020%8 Oct →
inferno6–13-0.0315%8 Oct →
dust29–13-0.0322%8 Oct →
train13–30.0539%7 Oct →
train12–12-0.0116%7 Oct →
mirage10–13-0.0519%6 Oct →
dust25–13-0.0212%6 Oct →
ancient13–100.0217%4 Oct →
inferno0–130.0325%4 Oct →
anubis13–70.0319%4 Oct →
nuke13–90.0412%1 Oct →
mirage16–120.0510%1 Oct →
mirage5–13-0.0020%1 Oct →
mirage13–80.0315%30 Sept →
vertigo5–130.0210%26 Sept →
vertigo4–13-0.043%26 Sept →
vertigo13–50.1223%26 Sept →
vertigo2–130.0113%23 Sept →
vertigo12–120.1019%23 Sept →
vertigo13–80.0227%23 Sept →
vertigo0–4-0.0650%23 Sept →
mirage13–9-0.0320%22 Sept →
nuke2–13-0.0419%22 Sept →
anubis12–120.028%22 Sept →
inferno13–10-0.0114%18 Sept →
anubis13–9-0.0418%17 Sept →
ancient13–30.0418%16 Sept →
ancient8–13-0.1010%16 Sept →
cache16–14-0.0616%14 Sept →
nuke13–20.0911%13 Sept →
ancient13–10-0.0412%13 Sept →
inferno13–90.0214%12 Sept →
mirage12–60.0112%12 Sept →
nuke8–130.1023%11 Sept →
dust213–100.0217%11 Sept →
cache11–130.0622%9 Sept →
dust212–120.1226%9 Sept →
ancient9–13-0.0316%8 Sept →
inferno16–140.0117%8 Sept →
inferno9–13-0.0012%5 Sept →
dust213–60.0510%5 Sept →
office13–110.0112%4 Sept →
office13–11-0.0115%4 Sept →
cache12–12-0.0516%1 Sept →
cache4–40.1617%1 Sept →
cache3–13-0.0724%1 Sept →
cache13–2-0.1050%23 Aug →
inferno13–50.0215%22 Aug →
cache7–13-0.0918%22 Aug →
mirage3–13-0.0418%22 Aug →
inferno8–130.0419%22 Aug →
mirage13–80.0219%22 Aug →
dust213–100.0612%22 Aug →
cache13–60.0713%22 Aug →
mirage6–13-0.0234%20 Aug →
nuke6–0-0.0140%20 Aug →
office4–13-0.0123%15 Aug →
overpass13–110.1716%15 Aug →
italy13–90.1210%15 Aug →
train7–13-0.088%14 Aug →
train7–13-0.0123%14 Aug →
train8–13-0.0113%14 Aug →
inferno13–60.0121%8 Aug →
ancient6–13-0.0118%7 Aug →
dust213–8-0.0230%7 Aug →
mirage8–13-0.0120%7 Aug →
cache13–9-0.0113%7 Aug →
mirage13–50.0914%6 Aug →
cache13–10-0.0331%5 Aug →
mirage8–13-0.0420%3 Aug →
ancient2–7-0.0429%3 Aug →
anubis3–13-0.0110%3 Aug →
dust28–13-0.0628%3 Aug →
inferno11–130.0220%2 Aug →
mirage3–130.0112%2 Aug →
shelter10–13-0.0133%1 Aug →
inferno13–160.0117%1 Aug →
mirage0–11-0.0340%1 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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