tiktok challanges tiktok:@sacred — CS2 Stats

76561198058292316[U:1:98026588]VAC banned

145Tracked matches30%Win rate2024Tracked since
2,199Hours in CS4Hrs last 2 wks
CSDB Rating3.6 Learning
Premier CS Rating23,554Top 50% of 17,162 CSDB-tracked playersPink band · top ~4.6% of ranked players (population est.)
CSDB Leaderboard#7329 of 36345 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=3,917), 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 rate37.0%47.2%49.9%13.0% short
Shot accuracy16.6%12.7%13.4%above
Kill/death ratio1.081.091.120.04 short
Match win rate45.4%46.6%48.4%3.1% 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.

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Performance scores

Aim37
Positioning34
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY50446Last 10050%Win rateLLWWWLWWLW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

Aim3.7
Aggression3.1
Utility6.3
Positioning3.4
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 76% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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. 629ms 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

Aim3.7
Positioning3.4
Utility6.3
Mechanics4.9
Opening Duels0.5
Win Impact0.0

Composite 3.6/10 (Learning), 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 rating-0.05−0.06
first ⅓ avg 0.01 → last ⅓ avg -0.05
Reaction time650ms+108ms
first ⅓ avg 542ms → last ⅓ avg 650ms
Headshot accuracy20.3%−2.2%
first ⅓ avg 22.5% → last ⅓ avg 20.3%

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.

Highlights

0.16Best rating — mirage 11–13
131Biggest win — cache
8Longest win streak
L2Current streak
61In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 73% over 15dust2Weakest map · 38% over 29
MapGradePlayedRecordWin rateAvg rating
dust2C29111838%-0.03
mirageA1911858%0.00
ancientS1511473%-0.01
cacheC94544%0.00
anubisB84450%-0.02
vertigoC73443%0.00
inferno42250%0.02
nuke42250%0.02
overpass32167%-0.01
train1010%-0.01
poseidon1010%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 29). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

78,692Lifetime kills
1.08K/D
3,732Matches
45.4%Match win rate
37.0%Headshot %
16.6%Shot accuracy · Top 25% of Pink band
12,436MVPs
1,362Hours (in match)
2,945Bombs planted
507Bombs defused

Most-used weapons

AWP27,564
AK-4715,240
P902,061
Tec-91,719
Knife1,697

Lifetime map wins

13,171dust2
4,486inferno
858nuke
139vertigo
100cbble
85office
60train
55lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.9%Headshot accuracy
26.8%Accuracy (enemy spotted)
25.3%Spray accuracy
71.9%Counter-strafing
10.2°Preaim
629msReaction time
19.5%T opening success
34.4%CT opening success
0.71Enemies flashed / flash
7.1%Flash assists
12.12HE damage / grenade
11.11Flashes / 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 19.4943% — below the 40% mark we flag

Spend your practice time on Dust 2

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

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo0–40.02100%25 Aug
cache9–13-0.0318%25 Aug
inferno13–110.0422%25 Aug
mirage13–90.0416%15 Aug
dust210–0-0.0163%15 Aug
mirage10–13-0.0622%15 Aug
dust213–8-0.098%15 Aug
ancient13–10-0.039%15 Aug
mirage7–13-0.0323%16 Jul
mirage13–5-0.0614%16 Jul
mirage9–13-0.0011%15 Jul
mirage13–80.0812%15 Jul
dust27–13-0.0913%15 Jul
mirage2–13-0.0725%15 Jul
inferno7–13-0.0531%15 Jul
anubis6–13-0.0714%15 Jul
ancient13–7-0.0610%14 Jul
anubis0–13-0.0529%14 Jul
mirage8–10.1116%14 Jul
dust27–13-0.0737%13 Jul
ancient7–13-0.0735%13 Jul
dust26–13-0.120%13 Jul
dust27–13-0.094%13 Jul
mirage1–13-0.0713%12 Jul
dust28–13-0.087%12 Jul
dust24–13-0.110%12 Jul
dust21–13-0.104%12 Jul
dust25–13-0.0919%11 Jul
dust21–13-0.0629%11 Jul
mirage2–13-0.1225%11 Jul
dust26–13-0.1212%11 Jul
dust210–13-0.1012%11 Jul
anubis13–10-0.0520%10 Jul
dust213–7-0.0432%10 Jul
ancient13–5-0.0618%10 Jul
ancient13–110.0419%5 Jul
anubis12–16-0.0214%5 Jul
dust213–70.0220%24 Jun
inferno13–70.0738%23 Jun
anubis13–110.0332%23 Jun
cache13–60.0829%22 Jun
overpass13–10-0.0319%22 Jun
cache2–130.0219%21 Jun
nuke13–20.0728%21 Jun
nuke4–130.0250%21 Jun
mirage13–90.0324%21 Jun
inferno12–12-0.0029%21 Jun
anubis13–40.0030%21 Jun
ancient13–30.0423%21 Jun
vertigo13–2-0.0138%21 Jun
ancient13–110.0325%18 Jun
train12–12-0.0121%17 Jun
dust29–10.0228%17 Jun
ancient13–60.0528%17 Jun
mirage11–130.1629%17 Jun
dust25–130.0233%17 Jun
nuke3–13-0.0234%17 Jun
overpass7–13-0.0420%17 Jun
dust20–13-0.0238%16 Jun
ancient13–6-0.0532%5 Jun
mirage13–5-0.0619%4 Jun
mirage8–130.0123%23 May
dust20–13-0.0720%23 May
vertigo13–8-0.0514%23 May
vertigo12–120.0823%22 May
vertigo12–12-0.0119%22 May
vertigo4–13-0.0215%19 May
cache2–130.0524%19 May
overpass13–100.0224%18 May
cache13–110.0421%18 May
cache8–13-0.0015%17 May
cache12–120.0124%17 May
anubis6–13-0.0428%17 May
dust212–12-0.0428%17 May
cache13–10-0.0418%17 May
cache13–1-0.0929%17 May
vertigo13–8-0.0222%17 May
mirage13–6-0.0020%16 May
dust26–130.0123%14 May
mirage13–4-0.0121%14 May
ancient4–13-0.0215%14 May
nuke12–4-0.0126%14 May
ancient1–13-0.0619%14 May
dust213–10.0119%10 May
poseidon4–9-0.0232%8 May
ancient8–13-0.0217%7 May
ancient13–100.0018%7 May
dust22–13-0.0927%4 May
ancient13–9-0.0623%3 May
ancient13–70.1228%3 May
dust213–80.0422%3 May
dust28–13-0.0327%3 May
dust213–110.0119%3 May
mirage13–3-0.0220%3 May
dust213–40.1521%3 May
anubis13–100.0423%2 May
mirage13–30.0422%2 May
dust213–40.0929%2 May
mirage13–30.1325%2 May
dust213–50.1116%2 May

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 →