snafu — CS2 Stats

76561198129951074[U:1:169685346]Steam profile ↗✓ No bans

2,198Tracked matches80%Win rate2020Tracked since

CSDB Rating6.1 SolidHybrid Rifler

Premier CS Rating30,537Top 1% of 819 CSDB-tracked playersGold band · top ~0.6% of ranked players (population est.)

CSDB Leaderboard#30 of 12575 tracked

FaceitLevel 10 · 2,095 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim74

Positioning52

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY79–21Last 10079%Win rateLLWWLWWWWW

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

Player DNA

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

Aim7.4

Aggression6.2

Utility5.1

Positioning5.2

Opening Duels1.7

Clutch4.0

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 89% 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 45% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 69% 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

Aim7.4

Positioning5.2

Utility5.1

Mechanics4.2

Opening Duels1.9

Win Impact10.0

Composite 6.1/10 (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 rating0.03−0.01

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time505ms−33ms

first ⅓ avg 538ms → last ⅓ avg 505ms

Headshot accuracy22.1%−0.6%

first ⅓ avg 22.7% → last ⅓ avg 22.1%

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

0.17Best rating — mirage 13–4

13–0Biggest win — nuke

13Longest win streak

L2Current streak

9–1In matches decided by ≤2 rounds

2Overtime games

Map breakdown

infernoBest map · 89% over 9anubisWeakest map · 73% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	36	27–9	75%	0.01
nuke	S	17	15–2	88%	0.05
anubis	S	11	8–3	73%	0.02
mirage	S	10	8–2	80%	0.04
inferno	S	9	8–1	89%	0.04
cache	S	8	6–2	75%	0.04
ancient	—	4	3–1	75%	0.06
vertigo	—	3	3–0	100%	-0.00
office	—	1	1–0	100%	0.05
train	—	1	0–1	0%	0.12

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (73% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,129Matches

53%Win rate

1.06Avg K/D

76.0ADR

49%Headshot %

Clutches & streaks

40%1v1 clutch win

22%1v2 clutch win

13Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	353	57%	1.04	15.0
Ancient	208	52%	1.05	15.8
Dust2	128	49%	0.99	15.3
Nuke	72	54%	0.97	14.1
Anubis	62	48%	0.95	14.9
Inferno	55	33%	0.98	14.9
Overpass	46	50%	1.09	16.0
Cache	34	53%	1.04	15.8

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

35.2%Accuracy (enemy spotted)

34.3%Spray accuracy

69.1%Counter-strafing

10.1°Preaim

505msReaction time

28.3%T opening success

45.3%CT opening success

0.47Enemies flashed / flash

7.1%Flash assists

8.66HE damage / grenade

9.19Flashes / 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.

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 0.4748 — below the 0.5 mark we flag
Grenade Lineups →
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 28.3362% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
anubis	9–13	0.03	30%	28 Aug →
dust2	9–13	-0.01	43%	26 Aug →
inferno	13–4	0.07	17%	26 Aug →
anubis	13–1	0.05	17%	22 Aug →
dust2	6–13	0.01	24%	22 Aug →
inferno	13–7	0.05	9%	22 Aug →
dust2	13–11	0.09	26%	22 Aug →
mirage	13–7	-0.03	20%	22 Aug →
inferno	13–6	0.00	32%	21 Aug →
mirage	13–5	0.13	20%	21 Aug →
nuke	13–5	0.06	16%	21 Aug →
ancient	13–8	0.12	20%	21 Aug →
ancient	6–13	0.00	27%	21 Aug →
dust2	13–8	0.01	24%	20 Aug →
dust2	1–13	-0.09	0%	20 Aug →
dust2	13–7	0.03	27%	20 Aug →
ancient	13–9	0.09	18%	20 Aug →
vertigo	13–3	-0.01	33%	19 Aug →
nuke	13–0	0.10	23%	19 Aug →
dust2	3–1	-0.16	0%	19 Aug →
dust2	13–3	0.03	26%	19 Aug →
dust2	13–7	0.06	20%	19 Aug →
dust2	13–6	0.06	35%	19 Aug →
vertigo	13–9	-0.05	19%	19 Aug →
dust2	13–2	0.04	19%	19 Aug →
cache	13–7	0.13	34%	19 Aug →
dust2	13–10	-0.01	24%	18 Aug →
inferno	13–1	0.08	19%	18 Aug →
dust2	8–13	-0.06	22%	18 Aug →
anubis	13–3	0.04	23%	18 Aug →
nuke	16–14	0.05	14%	18 Aug →
anubis	13–7	0.07	28%	18 Aug →
nuke	13–7	0.06	20%	18 Aug →
office	13–6	0.05	24%	18 Aug →
anubis	0–5	-0.11	0%	18 Aug →
cache	13–5	0.05	22%	18 Aug →
mirage	13–8	0.03	15%	18 Aug →
ancient	13–5	0.01	23%	18 Aug →
inferno	13–6	0.02	22%	15 Aug →
nuke	13–2	0.03	10%	15 Aug →
inferno	13–10	-0.05	18%	15 Aug →
dust2	13–7	0.09	20%	15 Aug →
dust2	13–10	-0.04	15%	14 Aug →
nuke	13–10	-0.02	26%	14 Aug →
anubis	8–13	-0.00	32%	14 Aug →
nuke	13–3	0.07	24%	14 Aug →
cache	10–13	0.05	12%	13 Aug →
dust2	13–11	-0.06	23%	13 Aug →
cache	9–13	-0.02	32%	13 Aug →
dust2	13–3	0.10	18%	13 Aug →
dust2	13–8	0.00	26%	13 Aug →
dust2	13–9	-0.02	17%	13 Aug →
nuke	13–2	0.00	11%	13 Aug →
nuke	10–13	0.03	20%	13 Aug →
mirage	13–4	0.17	21%	13 Aug →
train	4–13	0.12	14%	13 Aug →
dust2	3–13	0.03	27%	12 Aug →
cache	16–14	0.02	14%	11 Aug →
cache	13–1	0.03	23%	11 Aug →
inferno	13–11	0.10	17%	11 Aug →
cache	13–2	0.02	11%	11 Aug →
mirage	11–13	-0.01	18%	8 Aug →
dust2	13–11	0.04	13%	7 Aug →
nuke	13–9	0.02	22%	6 Aug →
inferno	6–13	0.03	31%	6 Aug →
dust2	13–6	-0.04	20%	5 Aug →
mirage	10–13	0.03	26%	4 Aug →
dust2	9–13	-0.02	27%	4 Aug →
dust2	10–13	-0.02	11%	4 Aug →
dust2	13–5	0.05	17%	4 Aug →
anubis	13–4	-0.04	15%	4 Aug →
nuke	13–7	0.02	11%	4 Aug →
dust2	13–8	-0.01	16%	4 Aug →
dust2	10–1	0.07	24%	4 Aug →
inferno	13–6	0.10	29%	4 Aug →
mirage	13–6	-0.01	20%	4 Aug →
anubis	13–11	-0.01	24%	4 Aug →
cache	13–8	0.08	12%	4 Aug →
dust2	4–13	-0.08	23%	3 Aug →
nuke	7–13	0.03	24%	3 Aug →
dust2	13–9	0.07	33%	3 Aug →
vertigo	13–2	0.05	25%	2 Aug →
nuke	13–4	0.11	17%	2 Aug →
mirage	13–1	-0.01	35%	2 Aug →
dust2	13–2	0.04	26%	2 Aug →
dust2	13–7	0.03	35%	1 Aug →
nuke	13–7	0.01	20%	1 Aug →
dust2	13–7	0.00	29%	31 Jul →
nuke	13–3	0.04	6%	31 Jul →
dust2	13–4	0.04	50%	31 Jul →
anubis	13–2	0.10	35%	31 Jul →
anubis	13–11	-0.02	12%	31 Jul →
dust2	5–13	0.08	26%	31 Jul →
nuke	13–2	0.14	26%	30 Jul →
mirage	13–4	0.00	10%	30 Jul →
dust2	13–1	0.04	35%	30 Jul →
dust2	13–2	0.03	18%	30 Jul →
anubis	13–4	0.11	16%	30 Jul →
nuke	13–9	0.10	26%	30 Jul →
mirage	13–10	0.10	18%	30 Jul →