Santa 🌨 — CS2 Stats

VI76561197995226323[U:1:34960595]Steam profile ↗✓ No bans

1,636Tracked matches38%Win rate2020Tracked since

CSDB Rating6.7 SolidSupport

Premier CS Rating25,346Top 10% of 204,412 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)

CSDB Leaderboard#17788 of 251515 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (yesterday). 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: 25,346 +347 2 Aug – 13 Oct · 23 days played

Faceit ELO: 1,996 +0 30 Aug – 6 Sept · 3 observations

26,746Peak Premier in tracked matches

1,996Highest Faceit ELO seen on CSDB

37Days played since 2026-08-02

Premier CS Rating

1,400 below peak (26,746)
-933 over 30 days · declining
Next: Gold band at 30,000 — 4,654 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-08-30
Pink band first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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Performance scores

Aim83

Positioning51

Utility82

0–100 skill scores via Leetify.

Recent form

COLD48–47–5Last 10048%Win rateLWLWLLLLLL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −4.5pp headshot accuracy · +73ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating 0.03
Avg headshot accuracy 26%
Avg reaction 758ms

Last 10

2–8 · 20% win rate
Avg rating 0.01
Avg headshot accuracy 22%
Avg reaction 705ms

Last 20

6–14 · 30% win rate
Avg rating 0.01
Avg headshot accuracy 25%
Avg reaction 668ms

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 (+3.2 against its own average).

Aim8.3

Utility8.2

Positioning5.1

Opening Duels1.9

Clutch4.8

High utility contribution

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

Plays most like Twistzz 81% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success.

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

Utility. Utility score of 82 — grenade impact well above the norm.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.8° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Reaction time. 660ms 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

Aim8.3

Positioning5.1

Utility8.2

Mechanics8.2

Opening Duels3.1

Win Impact1.0

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time664ms−5ms

first ⅓ avg 669ms → last ⅓ avg 664ms

Headshot accuracy23.8%+0.4%

first ⅓ avg 23.4% → last ⅓ avg 23.8%

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

0.19Best match rating · 13–4 · ancient, 13 Oct →

53%Best headshot accuracy · 9–13 · ancient, 8 Oct →

406msFastest reaction time · 13–8 · cache, 1 Sept →

13–1Biggest win · nuke, 13 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak

7–8In matches decided by ≤2 rounds

11Overtime games

Map breakdown

ancientBest map · 80% over 5mirageWeakest map · 21% over 19

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	20	11–9	55%	-0.01
mirage	D	19	4–15	21%	0.00
cache	A	14	9–5	64%	0.01
dust2	B	13	7–6	54%	0.02
nuke	B	12	6–6	50%	0.02
anubis	A	10	6–4	60%	0.01
ancient	S	5	4–1	80%	0.04
vertigo	—	3	0–3	0%	-0.05
overpass	—	3	1–2	33%	-0.11
train	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (21% over 19). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

526Matches

58%Win rate

1.17Avg K/D

77.5ADR

50%Headshot %

Clutches & streaks

44%1v1 clutch win

25%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	63	70%	1.08	13.9
Anubis	55	56%	1.02	14.8
Nuke	52	67%	1.20	16.3
Dust2	36	58%	1.12	15.7
Vertigo	22	45%	1.01	14.3
Mirage	20	30%	0.96	14.6
Overpass	16	69%	1.26	16.1
Cache	12	58%	1.01	15.0

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.

23.8%Headshot accuracy

39.9%Accuracy (enemy spotted)

43.4%Spray accuracy

87.0%Counter-strafing

10.8°Preaim

660msReaction time

44.4%T opening success

40.4%CT opening success

0.68Enemies flashed / flash

13.6%Flash assists

9.88HE damage / grenade

19.62Flashes / match

Recommended for you

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.

21% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	10–13	-0.01	31%	13 Oct →
mirage	13–7	-0.01	20%	13 Oct →
inferno	7–13	0.01	30%	13 Oct →
ancient	13–4	0.19	24%	13 Oct →
mirage	6–13	-0.01	26%	13 Oct →
inferno	10–13	-0.01	23%	12 Oct →
mirage	11–13	0.03	17%	12 Oct →
dust2	4–13	0.02	30%	12 Oct →
cache	10–13	-0.00	22%	8 Oct →
dust2	2–13	-0.08	0%	8 Oct →
ancient	9–13	-0.04	53%	8 Oct →
mirage	5–13	-0.06	32%	7 Oct →
nuke	7–13	0.03	47%	7 Oct →
cache	13–10	0.10	35%	7 Oct →
ancient	13–10	-0.03	17%	5 Oct →
mirage	4–13	-0.06	13%	5 Oct →
inferno	11–13	0.05	21%	1 Oct →
train	8–13	0.02	15%	1 Oct →
mirage	13–8	0.07	24%	1 Oct →
cache	16–14	-0.02	13%	30 Sept →
ancient	13–6	0.04	28%	30 Sept →
mirage	6–13	0.03	43%	30 Sept →
inferno	5–13	-0.00	18%	30 Sept →
mirage	15–15	0.01	17%	29 Sept →
inferno	10–13	-0.03	25%	29 Sept →
vertigo	5–9	-0.18	14%	28 Sept →
overpass	3–9	-0.12	13%	28 Sept →
inferno	8–8	-0.04	33%	28 Sept →
dust2	13–16	-0.05	5%	21 Sept →
anubis	13–8	0.03	22%	20 Sept →
inferno	16–12	-0.02	26%	20 Sept →
mirage	13–10	0.03	20%	18 Sept →
cache	13–8	-0.01	26%	18 Sept →
cache	13–16	-0.03	41%	16 Sept →
anubis	13–6	0.01	26%	16 Sept →
mirage	11–13	-0.02	14%	16 Sept →
dust2	9–13	-0.02	21%	16 Sept →
inferno	11–13	-0.01	22%	13 Sept →
anubis	10–13	-0.02	15%	10 Sept →
nuke	13–8	0.00	26%	9 Sept →
mirage	9–13	-0.01	17%	9 Sept →
ancient	13–5	0.05	27%	9 Sept →
inferno	13–4	-0.03	18%	9 Sept →
dust2	13–2	0.08	14%	9 Sept →
inferno	3–13	-0.04	32%	9 Sept →
mirage	13–10	-0.02	22%	9 Sept →
anubis	13–11	0.00	23%	9 Sept →
inferno	13–7	0.02	28%	9 Sept →
mirage	10–13	0.02	24%	9 Sept →
anubis	13–11	0.01	20%	8 Sept →
inferno	13–2	0.05	26%	8 Sept →
dust2	13–6	0.03	15%	8 Sept →
anubis	10–13	0.03	32%	8 Sept →
mirage	8–13	-0.03	23%	7 Sept →
nuke	13–7	-0.02	8%	7 Sept →
anubis	8–13	0.02	27%	6 Sept →
dust2	13–10	0.05	23%	3 Sept →
anubis	13–9	0.00	16%	3 Sept →
inferno	16–14	-0.03	22%	3 Sept →
vertigo	8–8	0.02	33%	2 Sept →
overpass	9–6	-0.08	19%	2 Sept →
inferno	13–8	0.04	22%	1 Sept →
cache	13–8	-0.01	32%	1 Sept →
cache	11–13	-0.02	17%	1 Sept →
inferno	16–13	-0.00	23%	31 Aug →
dust2	13–8	0.01	48%	31 Aug →
mirage	15–15	0.06	29%	29 Aug →
mirage	2–13	0.07	33%	29 Aug →
nuke	10–13	0.03	25%	29 Aug →
cache	13–11	-0.03	11%	26 Aug →
cache	13–2	0.09	30%	26 Aug →
dust2	13–6	0.11	30%	25 Aug →
cache	11–13	-0.05	21%	25 Aug →
cache	13–5	0.01	37%	24 Aug →
dust2	6–13	-0.06	14%	24 Aug →
dust2	13–11	0.01	17%	24 Aug →
nuke	13–9	0.03	29%	19 Aug →
inferno	13–10	0.02	29%	19 Aug →
dust2	14–16	0.02	23%	19 Aug →
cache	4–13	-0.01	23%	19 Aug →
nuke	6–13	-0.00	26%	18 Aug →
dust2	16–12	0.08	25%	18 Aug →
anubis	13–6	-0.04	27%	17 Aug →
nuke	13–6	-0.03	23%	17 Aug →
inferno	13–11	-0.03	12%	17 Aug →
anubis	11–13	-0.00	18%	17 Aug →
mirage	9–13	-0.02	20%	16 Aug →
inferno	13–5	-0.00	30%	16 Aug →
nuke	13–5	0.19	20%	15 Aug →
mirage	1–13	-0.04	22%	14 Aug →
mirage	0–7	-0.01	17%	14 Aug →
overpass	2–9	-0.13	27%	14 Aug →
vertigo	8–8	0.00	21%	14 Aug →
inferno	1–9	-0.24	13%	14 Aug →
nuke	13–1	0.07	30%	13 Aug →
nuke	3–13	-0.04	29%	8 Aug →
inferno	13–4	0.09	22%	8 Aug →
cache	13–8	0.07	24%	4 Aug →
cache	13–5	0.08	19%	2 Aug →
nuke	12–16	-0.02	28%	2 Aug →