Sanctitive

Sanctitive — CS2 Stats

76561198067286745[U:1:107021017]Steam profile ↗✓ No bans

121Tracked matches54%Win rate2022Tracked since
CSDB Rating6.0 SolidSupport
Premier CS Rating15,184Purple band · top ~27.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 May 2025 (530 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: 15,184 +1,738 16 Mar – 27 May · 43 days played
12,84015,542peak 15,54216 Mar27 May
15,885Peak Premier in tracked matches
50Days played since 2025-03-07

Premier CS Rating

  • 358 below peak (15,542)
  • +1,166 over 30 days · improving
  • Next: Pink band at 20,000 — 4,816 to go
  • Reached: Purple band · Blue band · Light Blue band

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

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CSDB.GGSanctitivePREMIER15,184 · Purple bandcsdb.gg/stats

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Performance scores

Aim64
Positioning48
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY45–50–5Last 10045%Win rateWLLLWWWWTL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · +5.4pp headshot accuracy · −48ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 603ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 27%
  • Avg reaction 593ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 617ms

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: Support — Utility contribution stands above the rest of this profile (+1.1 against its own average).

Aim6.4
Utility5.9
Positioning4.8
Opening Duels3.6

Excellent counter-strafingStrong T-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

ZywOo

Plays most like ZywOo 83% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

CT openings. Opening success drops from 50% on T to 32% on CT — first contacts on the defending side are being lost.

Reaction time. 628ms 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

Aim6.4
Positioning4.8
Utility5.9
Mechanics8.7
Opening Duels2.7
Win Impact6.2

Composite 6.0/10 (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-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time635ms−32ms
first ⅓ avg 666ms → last ⅓ avg 635ms
Headshot accuracy24.8%+4.1%
first ⅓ avg 20.7% → last ⅓ avg 24.8%

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

0.11Best match rating · 9–0 · inferno, 5 May →
67%Best headshot accuracy · 11–0 · train, 28 Apr →
414msFastest reaction time · 6–0 · inferno, 20 May →
13–2Biggest win · grail, 8 May →

Across the last 100 tracked matches.

Highlights

7Longest win streak
10–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 78% over 9ancientWeakest map · 33% over 21
MapGradePlayedRecordWin rateAvg rating
ancientD217–1433%-0.03
infernoC167–944%-0.01
mirageC166–1038%-0.02
nukeC156–940%-0.02
trainB126–650%0.00
dust2B105–550%-0.02
anubisS97–278%0.03
grail—11–0100%0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

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

23.0%Headshot accuracy
30.3%Accuracy (enemy spotted)
30.2%Spray accuracy
89.4%Counter-strafing
11.2°Preaim
628msReaction time
49.9%T opening success
31.9%CT opening success
0.48Enemies flashed / flash
7.9%Flash assists
9.73HE damage / grenade
5.49Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4848 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 31.8644% — below the 40% mark we flag

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–70.0231%27 May →
inferno6–13-0.0522%27 May →
inferno7–13-0.0420%26 May →
ancient5–13-0.0324%26 May →
anubis13–90.0124%22 May →
ancient13–11-0.0532%21 May →
inferno6–00.0524%20 May →
nuke13–50.0219%18 May →
ancient15–15-0.0730%18 May →
mirage7–13-0.0546%18 May →
ancient7–13-0.0313%15 May →
train13–80.0216%15 May →
ancient15–15-0.0415%13 May →
inferno7–13-0.0429%8 May →
ancient13–60.0320%8 May →
grail13–20.0724%8 May →
nuke13–3-0.0245%6 May →
inferno13–90.0322%6 May →
mirage13–110.0228%5 May →
anubis13–40.017%5 May →
inferno9–00.1121%5 May →
ancient8–13-0.0222%5 May →
nuke10–13-0.0515%5 May →
anubis6–13-0.0512%3 May →
train4–13-0.0516%1 May →
dust213–10-0.0127%30 Apr →
ancient13–50.0427%30 Apr →
dust213–16-0.0225%29 Apr →
ancient5–13-0.0220%29 Apr →
nuke13–16-0.0314%29 Apr →
ancient6–13-0.0335%28 Apr →
ancient5–13-0.0126%28 Apr →
train11–00.0667%28 Apr →
nuke13–60.0427%28 Apr →
ancient10–13-0.0621%26 Apr →
dust213–7-0.0810%25 Apr →
mirage8–13-0.0129%25 Apr →
nuke9–13-0.056%25 Apr →
ancient16–13-0.0411%25 Apr →
mirage5–13-0.0913%24 Apr →
nuke2–13-0.0241%24 Apr →
inferno9–13-0.0118%24 Apr →
mirage13–10-0.0817%23 Apr →
ancient15–15-0.0126%23 Apr →
inferno10–13-0.0220%23 Apr →
inferno13–7-0.0322%22 Apr →
anubis9–13-0.0124%22 Apr →
train11–13-0.0812%21 Apr →
ancient2–13-0.0216%21 Apr →
nuke13–8-0.0123%21 Apr →
nuke15–150.0119%20 Apr →
mirage7–13-0.1124%20 Apr →
anubis13–20.1033%20 Apr →
mirage5–10.0022%17 Apr →
train7–13-0.0715%17 Apr →
ancient13–11-0.0620%16 Apr →
inferno13–11-0.0514%15 Apr →
anubis13–100.0530%15 Apr →
inferno13–110.0123%14 Apr →
mirage13–70.0121%12 Apr →
train13–50.1122%12 Apr →
ancient8–13-0.0429%12 Apr →
ancient13–110.0037%11 Apr →
nuke13–50.0013%11 Apr →
mirage9–13-0.0522%11 Apr →
train10–13-0.0118%11 Apr →
inferno11–13-0.0315%10 Apr →
ancient4–13-0.0911%10 Apr →
dust210–13-0.0122%10 Apr →
dust25–13-0.0332%9 Apr →
inferno16–13-0.0124%9 Apr →
mirage14–160.0124%8 Apr →
anubis13–110.0725%8 Apr →
train13–50.0430%8 Apr →
dust211–13-0.0310%7 Apr →
ancient13–3-0.0129%6 Apr →
dust213–80.0033%4 Apr →
ancient11–13-0.0126%4 Apr →
train8–130.048%3 Apr →
mirage13–110.0323%1 Apr →
dust23–13-0.0632%29 Mar →
inferno8–13-0.0718%28 Mar →
mirage15–150.0122%28 Mar →
nuke3–13-0.0617%28 Mar →
nuke3–13-0.0511%24 Mar →
mirage0–13-0.069%24 Mar →
inferno10–130.0321%24 Mar →
train13–110.0010%20 Mar →
train11–13-0.0610%18 Mar →
inferno7–13-0.1113%17 Mar →
anubis13–60.0515%16 Mar →
nuke13–3-0.0429%16 Mar →
mirage6–13-0.0419%15 Mar →
dust213–110.0229%14 Mar →
train13–40.059%12 Mar →
anubis13–100.0324%10 Mar →
nuke2–10.0117%10 Mar →
mirage13–16-0.0220%10 Mar →
mirage13–60.1034%9 Mar →
nuke9–13-0.0527%7 Mar →

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 →

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