Santimeister — CS2 Stats

US76561198881996521[U:1:921730793]Steam profile ↗✓ No bans

1,119Tracked matches47%Win rate2023Tracked since

CSDB Rating3.4 Learning

Premier CS Rating5,540Light Blue band · top ~76.2% of ranked players (population est.)

CSDB Leaderboard#16403 of 21465 tracked

WingmanSilver II

Ladder ranks via Leetify

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Performance scores

Aim41

Positioning50

Utility24

0–100 skill scores via Leetify.

Recent form

STEADY47–51–2Last 10047%Win rateLWLWLLLWWL

Last 10 vs previous 10: -30pp win rate · +0.02 avg rating

Player DNA

Aim4.1

Aggression6.7

Utility2.4

Positioning5.0

Opening Duels2.6

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

Plays most like Twistzz 77% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Reaction time. 553ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.1

Positioning5.0

Utility2.4

Mechanics3.3

Opening Duels2.6

Win Impact3.9

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time561ms−78ms

first ⅓ avg 639ms → last ⅓ avg 561ms

Headshot accuracy15.5%+1.5%

first ⅓ avg 14.0% → last ⅓ avg 15.5%

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

0.10Best rating — inferno 13–5

13–1Biggest win — mirage

4Longest win streak

6–12In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 63% over 16nukeWeakest map · 23% over 13

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	23	12–11	52%	-0.00
dust2	C	17	7–10	41%	-0.03
ancient	A	16	10–6	63%	-0.01
nuke	D	13	3–10	23%	-0.06
cache	B	12	6–6	50%	-0.01
mirage	A	10	6–4	60%	-0.02
anubis	D	7	2–5	29%	-0.01
train	—	1	0–1	0%	-0.09
vertigo	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1Matches

0%Win rate

0.58Avg K/D

—ADR

55%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

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.

13.5%Headshot accuracy

29.2%Accuracy (enemy spotted)

29.3%Spray accuracy

65.1%Counter-strafing

9.9°Preaim

553msReaction time

45.3%T opening success

35.2%CT opening success

0.42Enemies flashed / flash

6.3%Flash assists

5.65HE damage / grenade

1.75Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.543% — below the 15% mark we flag
Aim Training →
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 0.4175 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 35.217% — below the 40% mark we flag

Spend your practice time on Nuke

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	14–16	-0.03	16%	27 Aug →
mirage	13–8	0.05	18%	27 Aug →
ancient	9–13	0.02	10%	27 Aug →
inferno	13–10	-0.02	18%	27 Aug →
ancient	7–13	-0.04	22%	27 Aug →
anubis	4–13	-0.02	19%	26 Aug →
mirage	2–13	-0.13	8%	24 Aug →
mirage	13–1	0.05	19%	24 Aug →
ancient	13–5	0.06	16%	24 Aug →
nuke	8–13	-0.10	0%	24 Aug →
ancient	13–11	-0.05	21%	24 Aug →
cache	13–5	-0.02	8%	24 Aug →
dust2	7–13	-0.04	13%	24 Aug →
dust2	13–4	-0.05	15%	24 Aug →
inferno	13–11	-0.03	10%	24 Aug →
cache	13–3	0.02	9%	24 Aug →
nuke	5–13	-0.08	5%	24 Aug →
nuke	13–7	-0.05	5%	24 Aug →
cache	4–13	-0.04	16%	23 Aug →
cache	13–3	0.01	35%	23 Aug →
nuke	13–3	-0.03	13%	21 Aug →
ancient	13–1	0.02	11%	21 Aug →
inferno	14–16	-0.01	6%	20 Aug →
anubis	11–13	0.02	10%	20 Aug →
mirage	11–13	-0.01	10%	20 Aug →
dust2	10–13	-0.07	7%	20 Aug →
nuke	7–13	-0.03	22%	20 Aug →
dust2	7–13	-0.10	11%	19 Aug →
nuke	11–13	-0.07	13%	19 Aug →
ancient	13–7	0.07	29%	19 Aug →
dust2	13–10	0.01	23%	18 Aug →
inferno	8–4	-0.03	50%	18 Aug →
anubis	13–5	0.05	26%	17 Aug →
nuke	6–13	-0.10	22%	17 Aug →
inferno	13–5	0.10	5%	17 Aug →
nuke	13–6	-0.04	5%	12 Aug →
inferno	3–2	0.02	10%	12 Aug →
dust2	16–14	0.00	15%	12 Aug →
mirage	13–16	-0.07	0%	10 Aug →
inferno	10–13	-0.09	20%	10 Aug →
dust2	7–13	-0.04	15%	10 Aug →
inferno	2–13	-0.12	16%	10 Aug →
ancient	13–9	-0.07	16%	10 Aug →
inferno	6–13	-0.02	29%	7 Aug →
ancient	6–13	-0.05	14%	7 Aug →
ancient	10–13	-0.06	11%	5 Aug →
dust2	13–9	0.01	16%	5 Aug →
cache	13–11	-0.00	14%	5 Aug →
nuke	3–13	-0.04	0%	5 Aug →
inferno	13–7	0.04	12%	5 Aug →
train	9–13	-0.09	6%	4 Aug →
cache	7–13	-0.03	18%	4 Aug →
ancient	13–9	-0.06	13%	4 Aug →
anubis	7–13	-0.09	6%	4 Aug →
inferno	12–12	-0.02	13%	4 Aug →
inferno	13–8	0.05	3%	4 Aug →
mirage	4–13	-0.06	14%	4 Aug →
anubis	13–9	-0.00	16%	4 Aug →
ancient	13–1	0.07	12%	4 Aug →
dust2	9–13	-0.10	17%	4 Aug →
nuke	10–13	-0.02	11%	3 Aug →
ancient	13–5	0.00	10%	3 Aug →
inferno	12–12	-0.07	18%	31 Jul →
cache	9–13	0.05	17%	30 Jul →
inferno	16–13	0.04	20%	30 Jul →
inferno	11–13	0.02	9%	30 Jul →
ancient	13–2	0.02	13%	30 Jul →
inferno	13–6	0.01	3%	30 Jul →
ancient	14–16	-0.03	10%	30 Jul →
dust2	13–7	0.06	10%	30 Jul →
vertigo	13–5	0.01	12%	30 Jul →
anubis	11–13	-0.01	16%	30 Jul →
inferno	13–8	0.04	0%	30 Jul →
mirage	13–7	-0.01	12%	30 Jul →
nuke	13–16	-0.12	25%	30 Jul →
dust2	4–13	-0.04	23%	29 Jul →
cache	10–13	-0.02	12%	29 Jul →
cache	13–9	0.07	10%	29 Jul →
mirage	13–11	-0.02	16%	29 Jul →
anubis	3–13	0.02	15%	29 Jul →
inferno	11–13	0.07	18%	29 Jul →
dust2	10–13	-0.05	13%	29 Jul →
cache	11–13	-0.06	13%	29 Jul →
inferno	5–13	-0.01	25%	29 Jul →
dust2	11–13	0.02	19%	28 Jul →
dust2	13–8	-0.04	17%	28 Jul →
mirage	13–6	-0.05	17%	24 Jul →
dust2	7–13	-0.04	22%	24 Jul →
ancient	13–10	-0.07	15%	24 Jul →
nuke	14–16	-0.06	9%	24 Jul →
inferno	13–7	0.05	19%	23 Jul →
nuke	2–10	-0.04	15%	23 Jul →
cache	10–13	-0.09	12%	23 Jul →
mirage	13–5	0.04	6%	23 Jul →
dust2	4–13	-0.09	23%	22 Jul →
inferno	13–5	0.03	5%	22 Jul →
dust2	13–3	0.08	20%	22 Jul →
cache	13–10	0.01	13%	22 Jul →
inferno	1–13	-0.10	11%	22 Jul →
ancient	3–13	-0.03	9%	21 Jul →