Santa

Santa — CS2 Stats

FI76561198827722323[U:1:867456595]Steam profile ↗✓ No bans

1,230Tracked matches52%Win rate2020Tracked since
1,754Hours in CS21Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
Premier CS Rating19,737Top 50% of 204,412 CSDB-tracked playersPurple band · top ~9.5% of ranked players (population est.)
CSDB Leaderboard#86643 of 251681 tracked
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (10 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: 19,737 +8,339 29 Apr – 4 Oct · 23 days played
10,52719,830peak 19,83029 Apr4 Oct
19,830Peak Premier in tracked matches
29Days played since 2026-04-29

Premier CS Rating

  • 93 below peak (19,830)
  • +1,359 over 30 days · improving
  • +2,187 over 90 days
  • Next: Pink band at 20,000 — 263 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.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate39.8%44.3%46.9%7.1% short
Shot accuracy14.0%11.9%13.0%above
Kill/death ratio1.001.031.080.08 short
Match win rate39.7%45.2%46.7%7.0% short

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

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

Share this profile

CSDB.GGSantaPREMIER19,737 · Purple bandcsdb.gg/stats

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Performance scores

Aim66
Positioning59
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY49–45–6Last 10049%Win rateTLWLTWWWWL

Last 10 vs previous 10: −10pp win rate · +0.04 avg rating · −4.3pp headshot accuracy · +56ms 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

  • 1–2–2 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 644ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 631ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 604ms

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 (+2.4 against its own average).

Aim6.6
Utility5.6
Positioning5.9
Opening Duels2.7
Clutch0.0

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 87% playstyle similarity

Most alike: positioning profile, opening-duel success.

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 57% on T to 40% on CT — first contacts on the defending side are being lost.

Reaction time. 579ms 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

Aim6.6
Positioning5.9
Utility5.6
Mechanics5.9
Opening Duels4.6
Win Impact5.6

Composite 5.9/10 (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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time586ms−58ms
first ⅓ avg 644ms → last ⅓ avg 586ms
Headshot accuracy16.9%+4.4%
first ⅓ avg 12.5% → last ⅓ avg 16.9%

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

0.28Best match rating · 9–1 · inferno, 4 Oct →
31%Best headshot accuracy · 5–13 · inferno, 27 Jul →
344msFastest reaction time · 0–7 · ancient, 28 Jul →
13–2Biggest win · anubis, 3 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 60% over 5mirageWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB2111–1052%0.01
nukeC207–1335%-0.01
ancientB158–753%-0.01
dust2A148–657%-0.01
mirageD82–625%-0.02
anubisA53–260%-0.04
vertigo—44–0100%0.05
overpass—41–325%-0.09
cache—43–175%0.01
eldorado—20–20%-0.04
train—10–10%-0.05
debris—11–0100%0.06
poseidon—11–0100%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

60,386Lifetime kills
1.00K/D
3,483Matches
39.7%Match win rate
39.8%Headshot %
14.0%Shot accuracy · Top 50% of Purple band
7,525MVPs
1,085Hours (in match)
2,207Bombs planted
913Bombs defused

Most-used weapons

Lifetime map wins

4,860inferno
3,885nuke
2,157train
1,942dust2
1,455vertigo
433cbble
382lake
280office

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

Faceit stats

Combat

3Matches
33%Win rate
1.24Avg K/D
82.0ADR
35%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis1100%2.2518.0
Ancient10%0.7112.0
Dust210%0.7613.0

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.

17.4%Headshot accuracy
35.3%Accuracy (enemy spotted)
35.3%Spray accuracy
76.6%Counter-strafing
10.0°Preaim
579msReaction time
57.0%T opening success
40.0%CT opening success
0.52Enemies flashed / flash
5.3%Flash assists
9.77HE damage / grenade
12.23Flashes / 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

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

    CT opening duels 39.9966% — below the 40% mark we flag

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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage15–150.017%4 Oct →
inferno11–130.0322%4 Oct →
vertigo9–7-0.017%4 Oct →
overpass5–9-0.0727%4 Oct →
nuke8–80.0318%4 Oct →
inferno9–10.2819%4 Oct →
cache13–8-0.0120%3 Oct →
dust213–60.0418%3 Oct →
nuke13–80.0612%3 Oct →
ancient5–13-0.088%3 Oct →
mirage13–70.0015%3 Oct →
nuke11–13-0.0110%3 Oct →
ancient13–10-0.0125%3 Oct →
anubis13–2-0.0625%3 Oct →
dust26–13-0.1227%3 Oct →
dust210–130.0219%2 Oct →
nuke13–5-0.0329%2 Oct →
inferno10–130.0315%2 Oct →
ancient16–120.0413%2 Oct →
dust213–3-0.0124%2 Oct →
anubis13–11-0.0527%2 Oct →
dust214–160.0118%2 Oct →
inferno4–9-0.1816%2 Oct →
eldorado4–9-0.0811%2 Oct →
vertigo13–2-0.0227%24 Sept →
inferno9–60.1423%24 Sept →
overpass8–8-0.116%24 Sept →
nuke5–9-0.110%24 Sept →
vertigo13–60.0912%14 Sept →
train3–13-0.0511%14 Sept →
inferno5–130.0319%14 Sept →
mirage2–13-0.0514%12 Sept →
anubis4–13-0.0711%12 Sept →
inferno2–9-0.210%12 Sept →
ancient16–130.0218%6 Sept →
inferno7–130.1220%6 Sept →
nuke13–9-0.0115%6 Sept →
ancient13–70.0213%6 Sept →
nuke2–9-0.1015%6 Sept →
inferno9–7-0.0428%9 Aug →
nuke11–13-0.0119%9 Aug →
anubis10–130.0114%9 Aug →
ancient10–13-0.0811%7 Aug →
cache0–13-0.0119%7 Aug →
nuke13–100.0214%7 Aug →
nuke13–9-0.0723%28 Jul →
inferno13–80.0218%28 Jul →
ancient0–7-0.100%28 Jul →
inferno5–13-0.0231%27 Jul →
ancient13–30.0216%27 Jul →
inferno5–9-0.1029%23 Jul →
overpass9–50.050%23 Jul →
overpass1–9-0.2321%23 Jul →
debris9–50.0616%23 Jul →
vertigo9–40.1622%23 Jul →
nuke8–8-0.037%23 Jul →
eldorado8–8-0.007%23 Jul →
poseidon9–5-0.0611%23 Jul →
inferno8–80.0617%23 Jul →
ancient13–4-0.0110%20 Jul →
inferno13–70.0318%19 Jul →
inferno16–120.0218%16 Jul →
nuke7–13-0.0517%16 Jul →
mirage5–13-0.0611%16 Jul →
anubis13–11-0.0319%16 Jul →
dust23–13-0.0914%16 Jul →
cache13–80.014%16 Jul →
inferno13–6-0.016%16 Jul →
ancient13–100.0311%15 Jul →
dust213–10-0.018%15 Jul →
nuke11–130.0713%15 Jul →
dust213–7-0.024%15 Jul →
cache13–40.0619%15 Jul →
dust213–70.019%14 Jul →
mirage6–13-0.049%12 Jun →
inferno16–120.0114%7 Jun →
nuke10–130.0515%7 Jun →
dust26–130.0116%7 Jun →
dust213–8-0.034%6 Jun →
inferno6–130.0217%5 Jun →
nuke10–130.0111%5 Jun →
dust213–100.027%4 Jun →
nuke12–30.0617%4 Jun →
ancient13–16-0.0212%21 May →
dust22–130.008%21 May →
dust213–30.0122%20 May →
nuke2–13-0.0117%12 May →
mirage16–120.026%12 May →
mirage14–16-0.0313%12 May →
inferno13–11-0.0319%8 May →
mirage7–13-0.0112%8 May →
ancient11–13-0.049%8 May →
nuke13–40.047%8 May →
inferno13–6-0.0214%8 May →
inferno13–100.0215%8 May →
nuke8–13-0.0818%7 May →
nuke4–13-0.0117%6 May →
ancient9–130.0212%6 May →
ancient8–13-0.0118%29 Apr →
ancient13–110.0213%29 Apr →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.