sm3t — CS2 Stats

76561198341996771[U:1:381731043]✓ No bans

2,957Tracked matches47%Win rate2020Tracked since

CSDB Rating7.5 StrongAggressive Rifler

CSDB Leaderboard#5116 of 6645 tracked

FaceitLevel 10 · 4,128 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

Rating over time

4,128Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 4,128
Reached: 4,000 ELO · 3,500 ELO · 3,000 ELO · 2,500 ELO
4,000 ELO first seen 2026-08-28
3,500 ELO first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim90

Positioning67

Utility71

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateWWLLLWWWLW

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim9.0

Aggression8.7

Utility7.1

Positioning6.7

Opening Duels4.7

Clutch3.4

Sharp aimerStrong CT-side openerEffective flashes

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 jL 96% playstyle similarity

Most alike: positioning profile, 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

Strengths

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Areas to improve

T-side openings. Opening success drops from 57% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.0

Positioning6.7

Utility7.1

Mechanics7.9

Opening Duels4.7

Win Impact3.9

Composite 7.5/10 (Strong), 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 rating0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg 0.00

Reaction time484ms−79ms

first ⅓ avg 563ms → last ⅓ avg 484ms

Headshot accuracy23.8%+1.5%

first ⅓ avg 22.3% → 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.

Highlights

0.12Best rating — mirage 2–0

13–0Biggest win — dust2

6Longest win streak

W2Current streak

7–11In matches decided by ≤2 rounds

12Overtime games

Map breakdown

ancientBest map · 59% over 22dust2Weakest map · 35% over 20

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	28	16–12	57%	0.01
ancient	A	22	13–9	59%	0.00
dust2	C	20	7–13	35%	-0.00
nuke	C	14	5–9	36%	-0.01
cache	B	8	4–4	50%	0.02
anubis	—	4	3–1	75%	0.01
overpass	—	3	2–1	67%	0.03
vertigo	—	1	1–0	100%	0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

9,322Matches

54%Win rate

1.22Avg K/D

88.2ADR

55%Headshot %

Clutches & streaks

37%1v1 clutch win

23%1v2 clutch win

18Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	818	56%	1.33	18.4
Ancient	481	56%	1.25	17.1
Dust2	346	56%	1.31	17.5
Anubis	265	57%	1.24	16.9
Nuke	109	64%	1.21	16.7
Overpass	90	52%	1.30	16.8
Train	84	55%	1.26	17.8
Inferno	68	71%	1.24	14.8

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.

23.3%Headshot accuracy

37.5%Accuracy (enemy spotted)

40.4%Spray accuracy

85.4%Counter-strafing

9.3°Preaim

483msReaction time

39.9%T opening success

57.4%CT opening success

0.74Enemies flashed / flash

7.0%Flash assists

8.28HE damage / grenade

13.24Flashes / 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.

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 39.9449% — below the 40% mark we flag

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–6	-0.04	13%	25 Aug →
ancient	13–5	0.02	19%	25 Aug →
nuke	9–13	-0.07	9%	25 Aug →
dust2	9–13	-0.03	14%	23 Aug →
nuke	6–13	-0.06	12%	23 Aug →
mirage	13–5	-0.00	27%	23 Aug →
ancient	13–11	0.01	30%	21 Aug →
dust2	13–4	0.01	38%	21 Aug →
cache	6–13	0.02	30%	21 Aug →
cache	13–1	0.10	28%	19 Aug →
dust2	7–13	0.01	16%	18 Aug →
dust2	13–9	-0.01	29%	18 Aug →
mirage	13–6	0.05	20%	18 Aug →
mirage	8–13	0.01	24%	17 Aug →
anubis	20–22	-0.00	24%	14 Aug →
ancient	13–9	0.04	27%	14 Aug →
nuke	7–13	0.01	26%	14 Aug →
cache	11–13	0.04	23%	13 Aug →
mirage	5–8	-0.00	28%	13 Aug →
mirage	13–9	0.01	26%	7 Aug →
nuke	10–13	-0.02	29%	7 Aug →
ancient	10–13	0.03	15%	7 Aug →
dust2	7–13	0.01	19%	5 Aug →
mirage	13–11	0.02	24%	5 Aug →
ancient	16–13	0.04	17%	5 Aug →
cache	13–8	0.06	31%	4 Aug →
mirage	13–4	-0.04	19%	4 Aug →
mirage	9–13	0.01	36%	3 Aug →
nuke	18–22	0.01	24%	3 Aug →
ancient	11–13	-0.02	27%	2 Aug →
mirage	9–13	-0.09	31%	1 Aug →
dust2	7–13	-0.05	23%	1 Aug →
ancient	12–4	-0.06	31%	30 Jul →
anubis	13–10	0.05	22%	30 Jul →
mirage	13–4	-0.01	29%	27 Jul →
nuke	4–13	0.06	31%	27 Jul →
dust2	13–9	-0.01	19%	27 Jul →
mirage	22–20	-0.01	16%	21 Jul →
nuke	13–8	-0.04	38%	20 Jul →
mirage	13–10	0.05	28%	17 Jul →
ancient	13–2	0.01	19%	17 Jul →
ancient	13–10	0.07	26%	17 Jul →
cache	5–13	0.04	22%	17 Jul →
mirage	7–13	0.03	26%	17 Jul →
mirage	1–13	-0.07	32%	16 Jul →
dust2	13–4	0.06	16%	16 Jul →
nuke	13–8	0.01	23%	16 Jul →
mirage	13–9	0.03	20%	15 Jul →
ancient	13–11	0.11	21%	15 Jul →
mirage	14–16	0.04	27%	13 Jul →
cache	4–13	-0.05	23%	13 Jul →
dust2	4–13	-0.03	40%	12 Jul →
ancient	7–13	-0.04	29%	12 Jul →
mirage	11–8	0.06	14%	12 Jul →
ancient	13–8	0.02	22%	12 Jul →
mirage	2–0	0.12	0%	12 Jul →
dust2	4–13	0.00	44%	10 Jul →
mirage	10–13	0.00	24%	10 Jul →
ancient	7–12	-0.05	23%	6 Jul →
anubis	13–9	0.03	29%	1 Jul →
ancient	9–13	-0.01	20%	1 Jul →
dust2	20–22	-0.01	25%	1 Jul →
dust2	13–0	0.07	35%	6 Jun →
mirage	14–16	-0.03	10%	30 May →
ancient	7–13	-0.06	17%	29 May →
dust2	8–13	-0.01	21%	29 May →
ancient	13–10	-0.03	23%	28 May →
dust2	13–11	0.01	17%	28 May →
nuke	2–13	-0.05	17%	26 May →
ancient	13–9	0.02	31%	25 May →
ancient	13–8	0.05	25%	23 May →
overpass	13–10	0.06	21%	23 May →
dust2	11–13	-0.05	32%	23 May →
mirage	6–13	0.04	24%	23 May →
dust2	11–13	0.05	22%	22 May →
ancient	5–13	-0.04	25%	21 May →
nuke	10–13	-0.00	30%	21 May →
mirage	16–13	-0.04	9%	21 May →
overpass	9–13	-0.02	29%	21 May →
overpass	22–20	0.03	26%	18 May →
mirage	13–3	0.01	23%	18 May →
dust2	13–8	-0.02	26%	17 May →
nuke	13–10	-0.01	15%	17 May →
ancient	14–16	-0.02	16%	17 May →
mirage	13–10	-0.03	19%	15 May →
nuke	13–6	0.03	19%	15 May →
dust2	10–13	-0.01	16%	14 May →
nuke	13–9	0.00	19%	14 May →
ancient	13–4	-0.01	27%	14 May →
dust2	11–13	-0.00	27%	13 May →
cache	13–5	0.03	24%	28 Apr →
mirage	12–16	-0.02	17%	26 Apr →
mirage	13–8	0.03	31%	23 Apr →
vertigo	13–9	0.10	30%	6 Apr →
mirage	13–4	0.02	32%	30 Mar →
anubis	13–4	-0.04	19%	30 Mar →
mirage	13–16	0.03	22%	28 Mar →
nuke	10–13	-0.02	11%	28 Mar →
ancient	4–13	-0.05	16%	28 Mar →
dust2	11–13	-0.01	19%	6 Mar →