San — CS2 Stats

CA76561198060833097[U:1:100567369]Steam profile ↗✓ No bans

954Tracked matches47%Win rate2024Tracked since

CSDB Rating5.0 DevelopingHybrid Rifler

Premier CS Rating14,245Blue band · top ~32.4% of ranked players (population est.)

CSDB Leaderboard#18830 of 28978 tracked

FaceitLevel 6 · 1,092 ELOTop 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim63

Positioning53

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateLLWWWWLLWL

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

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.3

Aggression6.2

Utility5.2

Positioning5.3

Opening Duels1.8

Clutch4.2

Strong CT-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.

Your pro match

Plays most like NiKo 87% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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

T-side openings. Opening success drops from 48% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 633ms 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

Aim6.3

Positioning5.3

Utility5.2

Mechanics6.4

Opening Duels2.3

Win Impact3.9

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02

first ⅓ avg -0.00 → last ⅓ avg 0.02

Reaction time633ms−33ms

first ⅓ avg 666ms → last ⅓ avg 633ms

Headshot accuracy13.3%−2.1%

first ⅓ avg 15.4% → last ⅓ avg 13.3%

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 — inferno 13–11

13–1Biggest win — inferno

7Longest win streak

L2Current streak

8–10In matches decided by ≤2 rounds

12Overtime games

Map breakdown

nukeBest map · 71% over 7ancientWeakest map · 35% over 20

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	28	14–14	50%	0.01
ancient	C	20	7–13	35%	0.00
inferno	B	17	9–8	53%	0.04
mirage	B	14	7–7	50%	0.01
cache	C	10	4–6	40%	0.03
nuke	S	7	5–2	71%	0.03
anubis	—	4	1–3	25%	0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

45Matches

51%Win rate

1.22Avg K/D

79.3ADR

38%Headshot %

Clutches & streaks

41%1v1 clutch win

19%1v2 clutch win

3Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	13	54%	1.43	16.4
Inferno	9	44%	1.15	15.8
Dust2	7	57%	1.00	13.4
Ancient	5	80%	1.17	15.6
Nuke	4	50%	0.98	11.0
Cache	3	33%	1.53	19.3
Anubis	2	0%	1.02	17.0
Train	2	50%	1.28	13.0

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.

13.9%Headshot accuracy

36.4%Accuracy (enemy spotted)

41.3%Spray accuracy

78.9%Counter-strafing

10.5°Preaim

633msReaction time

26.6%T opening success

48.1%CT opening success

0.61Enemies flashed / flash

12.0%Flash assists

6.57HE damage / grenade

5.07Flashes / 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 13.9279% — below the 15% mark we flag
Aim Training →
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 26.6408% — 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.

35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	11–13	-0.02	19%	29 Aug →
inferno	10–13	0.01	15%	28 Aug →
nuke	13–6	0.08	20%	28 Aug →
inferno	13–5	0.13	11%	26 Aug →
inferno	13–3	0.06	5%	26 Aug →
nuke	16–14	0.02	18%	25 Aug →
mirage	10–13	0.01	20%	24 Aug →
anubis	7–13	-0.01	9%	24 Aug →
nuke	13–3	0.04	8%	24 Aug →
cache	6–13	-0.09	10%	24 Aug →
ancient	10–13	0.05	9%	23 Aug →
mirage	13–4	0.07	7%	23 Aug →
ancient	6–13	-0.01	15%	22 Aug →
inferno	9–13	0.01	18%	21 Aug →
ancient	13–10	0.00	14%	21 Aug →
inferno	10–13	0.01	13%	19 Aug →
mirage	10–13	-0.08	8%	19 Aug →
mirage	13–8	0.01	12%	19 Aug →
inferno	13–10	0.04	11%	18 Aug →
mirage	7–13	-0.00	24%	17 Aug →
cache	13–11	0.07	25%	17 Aug →
nuke	14–16	0.02	19%	17 Aug →
ancient	6–13	-0.05	8%	9 Aug →
dust2	9–13	-0.00	8%	9 Aug →
cache	13–10	0.05	17%	8 Aug →
inferno	13–1	0.14	10%	8 Aug →
dust2	13–8	0.01	16%	6 Aug →
ancient	5–13	0.03	6%	6 Aug →
ancient	12–16	-0.02	17%	6 Aug →
dust2	13–11	0.03	10%	3 Aug →
dust2	13–6	0.09	9%	3 Aug →
inferno	13–11	-0.03	8%	2 Aug →
dust2	13–5	0.04	20%	2 Aug →
ancient	13–10	0.09	17%	2 Aug →
ancient	11–13	0.05	10%	2 Aug →
cache	10–13	0.03	12%	1 Aug →
inferno	13–9	-0.01	15%	1 Aug →
nuke	13–6	0.12	16%	31 Jul →
inferno	13–11	0.16	13%	31 Jul →
mirage	13–10	0.08	18%	29 Jul →
inferno	13–6	0.06	9%	25 Jul →
cache	13–4	0.11	9%	25 Jul →
dust2	13–6	-0.02	22%	25 Jul →
ancient	0–3	-0.07	0%	25 Jul →
ancient	13–6	0.04	6%	25 Jul →
inferno	0–13	-0.04	50%	25 Jul →
dust2	6–13	0.00	12%	25 Jul →
cache	10–13	0.03	11%	24 Jul →
inferno	13–1	0.16	16%	15 Jul →
dust2	13–10	0.02	18%	15 Jul →
dust2	10–13	0.08	13%	15 Jul →
dust2	13–4	0.12	7%	14 Jul →
mirage	13–8	-0.02	9%	13 Jul →
dust2	8–13	-0.01	23%	13 Jul →
inferno	14–16	-0.05	8%	13 Jul →
dust2	13–6	0.07	18%	13 Jul →
cache	15–15	0.01	11%	12 Jul →
cache	13–11	0.08	23%	12 Jul →
mirage	4–13	0.01	20%	12 Jul →
dust2	6–13	-0.02	7%	12 Jul →
mirage	13–8	0.03	17%	12 Jul →
anubis	13–7	0.09	14%	11 Jul →
dust2	13–9	0.10	8%	11 Jul →
dust2	16–13	-0.02	22%	11 Jul →
mirage	13–7	0.04	12%	11 Jul →
nuke	5–13	-0.02	13%	10 Jul →
cache	12–16	-0.03	10%	10 Jul →
ancient	4–13	-0.03	4%	10 Jul →
cache	13–16	0.01	19%	9 Jul →
dust2	11–13	0.03	23%	9 Jul →
inferno	8–13	0.00	18%	2 Jul →
ancient	5–13	-0.01	16%	1 Jul →
dust2	13–7	-0.02	20%	1 Jul →
nuke	13–5	-0.01	19%	29 Jun →
mirage	15–15	-0.03	10%	28 Jun →
ancient	7–13	0.01	7%	28 Jun →
ancient	13–5	-0.04	15%	28 Jun →
dust2	13–5	-0.02	21%	28 Jun →
anubis	11–13	-0.02	22%	28 Jun →
ancient	16–14	0.01	12%	27 Jun →
ancient	16–12	0.05	8%	27 Jun →
dust2	2–13	-0.07	10%	27 Jun →
dust2	8–13	0.01	11%	26 Jun →
dust2	13–7	-0.00	16%	26 Jun →
ancient	13–11	0.02	11%	21 Jun →
mirage	11–13	-0.02	25%	21 Jun →
ancient	9–13	-0.02	11%	21 Jun →
inferno	5–13	-0.02	15%	21 Jun →
dust2	13–7	0.07	16%	21 Jun →
ancient	11–13	0.04	15%	21 Jun →
mirage	13–6	0.02	3%	15 Jun →
anubis	13–16	0.01	12%	15 Jun →
mirage	9–13	0.01	6%	15 Jun →
dust2	5–13	-0.02	28%	12 Jun →
dust2	9–13	-0.03	26%	12 Jun →
ancient	1–13	-0.04	13%	12 Jun →
dust2	8–13	0.00	26%	7 Jun →
dust2	12–12	0.04	15%	7 Jun →
dust2	11–13	-0.06	15%	7 Jun →
inferno	11–13	-0.02	19%	31 May →