sne3l — CS2 Stats

76561198136846710[U:1:176580982]✓ No bans

2,312Tracked matches40%Win rate2020Tracked since

CSDB Rating6.6 SolidAggressive Rifler

Premier CS Rating25,749Top 25% of 819 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)

CSDB Leaderboard#1944 of 17031 tracked

FaceitLevel 10 · 2,194 ELOTop 12.4% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning58

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY54–46Last 10054%Win rateWLLLLWWWWL

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

Player DNA

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

Aim8.7

Aggression6.7

Utility6.3

Positioning5.8

Opening Duels2.6

Clutch2.6

Sharp aimerEffective 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 Twistzz 95% playstyle similarity

Most alike: positioning profile, 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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Reaction time. 584ms 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

Aim8.7

Positioning5.8

Utility6.3

Mechanics7.9

Opening Duels2.6

Win Impact1.7

Composite 6.6/10 (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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time587ms−19ms

first ⅓ avg 606ms → last ⅓ avg 587ms

Headshot accuracy27.3%−0.5%

first ⅓ avg 27.9% → last ⅓ avg 27.3%

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 — mirage 13–7

12–0Biggest win — nuke

11Longest win streak

14–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 80% over 10infernoWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	18	11–7	61%	0.01
cache	S	15	10–5	67%	0.03
inferno	D	12	3–9	25%	0.00
ancient	D	10	3–7	30%	0.00
anubis	S	10	8–2	80%	0.06
dust2	C	9	4–5	44%	0.01
overpass	B	8	4–4	50%	0.03
vertigo	B	6	3–3	50%	0.01
nuke	S	5	4–1	80%	0.01
train	—	4	1–3	25%	0.04
eldorado	—	2	2–0	100%	0.03
debris	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

945Matches

54%Win rate

1.18Avg K/D

84.3ADR

51%Headshot %

Clutches & streaks

33%1v1 clutch win

23%1v2 clutch win

12Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	41	51%	1.09	16.4
Inferno	34	59%	1.27	16.9
Anubis	34	56%	1.15	17.2
Mirage	32	59%	1.06	16.7
Vertigo	18	72%	1.18	16.4
Nuke	13	31%	1.07	14.6
Cache	12	58%	1.24	18.3
Dust2	6	67%	1.25	17.3

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.

27.9%Headshot accuracy

36.3%Accuracy (enemy spotted)

38.7%Spray accuracy

85.6%Counter-strafing

9.4°Preaim

584msReaction time

36.0%T opening success

44.7%CT opening success

0.73Enemies flashed / flash

6.2%Flash assists

9.56HE damage / grenade

10.98Flashes / 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 35.9755% — below the 40% mark we flag

Spend your practice time on Inferno

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 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–10	-0.00	23%	22 Aug →
overpass	8–13	-0.01	48%	14 Aug →
mirage	4–13	-0.09	21%	14 Aug →
cache	11–13	0.06	23%	2 Aug →
inferno	11–13	0.04	28%	2 Aug →
ancient	13–8	0.01	22%	31 Jul →
anubis	13–7	0.07	25%	31 Jul →
dust2	13–9	-0.06	30%	30 Jul →
inferno	13–8	0.01	42%	30 Jul →
nuke	6–13	-0.07	31%	30 Jul →
eldorado	9–7	0.03	40%	30 Jul →
cache	17–19	-0.02	23%	29 Jul →
anubis	13–5	0.13	39%	29 Jul →
overpass	7–13	-0.02	19%	29 Jul →
vertigo	16–14	0.01	15%	29 Jul →
overpass	13–4	0.03	24%	29 Jul →
ancient	10–13	0.03	32%	29 Jul →
dust2	9–13	-0.00	15%	28 Jul →
anubis	2–13	-0.02	21%	28 Jul →
overpass	13–16	-0.01	20%	28 Jul →
ancient	4–13	0.04	31%	28 Jul →
ancient	7–13	-0.04	21%	27 Jul →
mirage	10–13	-0.03	29%	27 Jul →
cache	13–6	0.07	25%	27 Jul →
dust2	9–13	0.01	40%	27 Jul →
vertigo	8–13	-0.05	25%	27 Jul →
overpass	13–9	0.06	41%	27 Jul →
train	14–16	0.03	25%	26 Jul →
mirage	13–7	0.16	47%	26 Jul →
inferno	8–13	0.03	24%	26 Jul →
mirage	13–11	0.02	39%	26 Jul →
mirage	16–14	0.01	15%	21 Jul →
dust2	2–13	-0.06	0%	21 Jul →
inferno	13–2	-0.05	58%	21 Jul →
mirage	13–4	-0.06	54%	21 Jul →
inferno	13–11	0.01	24%	21 Jul →
mirage	13–6	0.08	24%	21 Jul →
ancient	3–13	-0.00	43%	20 Jul →
ancient	4–13	-0.06	18%	20 Jul →
anubis	13–10	0.12	24%	20 Jul →
cache	13–7	0.01	20%	20 Jul →
mirage	6–13	-0.04	13%	20 Jul →
inferno	8–13	-0.03	30%	20 Jul →
mirage	13–11	0.02	9%	20 Jul →
ancient	13–11	0.04	26%	20 Jul →
dust2	13–11	0.10	22%	20 Jul →
anubis	13–9	0.13	27%	20 Jul →
train	13–11	0.10	25%	15 Jul →
mirage	13–8	0.02	29%	15 Jul →
overpass	13–9	0.05	25%	15 Jul →
overpass	13–6	0.08	34%	15 Jul →
anubis	13–8	0.08	23%	15 Jul →
anubis	13–9	0.06	23%	15 Jul →
cache	13–10	0.11	20%	14 Jul →
overpass	10–13	0.02	29%	14 Jul →
mirage	8–13	0.01	28%	14 Jul →
inferno	11–13	0.00	18%	14 Jul →
anubis	4–13	-0.02	23%	14 Jul →
mirage	13–8	0.04	26%	14 Jul →
cache	13–5	0.11	42%	14 Jul →
train	13–16	0.03	29%	13 Jul →
nuke	16–13	-0.01	35%	13 Jul →
inferno	10–13	-0.06	16%	13 Jul →
dust2	13–7	0.02	30%	13 Jul →
cache	6–13	0.01	40%	13 Jul →
nuke	13–6	0.13	35%	13 Jul →
cache	7–13	0.03	21%	13 Jul →
nuke	13–6	0.02	27%	13 Jul →
ancient	2–13	-0.07	40%	12 Jul →
mirage	13–9	0.04	33%	12 Jul →
cache	13–4	-0.01	24%	12 Jul →
eldorado	9–7	0.03	23%	10 Jul →
debris	9–7	0.04	18%	10 Jul →
vertigo	9–13	-0.04	39%	10 Jul →
inferno	10–13	0.12	27%	10 Jul →
ancient	13–10	0.02	49%	10 Jul →
nuke	12–0	-0.01	30%	10 Jul →
dust2	13–4	0.08	21%	10 Jul →
inferno	1–13	-0.01	28%	10 Jul →
vertigo	7–13	0.02	22%	10 Jul →
mirage	13–5	0.03	39%	10 Jul →
inferno	8–13	-0.06	19%	9 Jul →
cache	13–8	0.02	31%	9 Jul →
train	8–13	0.01	36%	9 Jul →
anubis	13–7	-0.04	21%	9 Jul →
cache	13–11	0.08	43%	9 Jul →
inferno	11–13	0.02	23%	9 Jul →
dust2	6–13	0.07	26%	9 Jul →
cache	13–5	-0.01	18%	9 Jul →
mirage	8–13	0.01	25%	9 Jul →
ancient	7–13	0.08	31%	9 Jul →
cache	13–3	0.03	38%	9 Jul →
cache	6–13	0.00	26%	8 Jul →
anubis	13–8	0.12	16%	8 Jul →
dust2	5–13	-0.05	27%	8 Jul →
mirage	13–11	0.02	23%	8 Jul →
vertigo	13–7	-0.02	23%	7 Jul →
mirage	10–13	-0.05	29%	7 Jul →
mirage	6–13	0.06	27%	7 Jul →
vertigo	13–11	0.14	17%	7 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches11-Win Streak

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