dontswingpls — CS2 Stats

76561199163752923[U:1:1203487195]

2,575Tracked matches53%Win rate2022Tracked since

CSDB Rating6.4 SolidAggressive Rifler

FaceitLevel 10 · 2,439 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

Aim82

Positioning65

Utility37

0–100 skill scores via Leetify.

Recent form

STEADY59–41Last 10059%Win rateWLLLWLWWWL

Last 10 vs previous 10: +20pp win rate · -0.00 avg rating

Player DNA

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

Aim8.2

Aggression7.4

Utility3.7

Positioning6.5

Opening Duels3.4

Clutch3.4

Strong CT-side openerLimited utility dependence

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 b1t 91% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 59% on CT to 28% 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

Aim8.2

Positioning6.5

Utility3.7

Mechanics7.4

Opening Duels3.6

Win Impact6.1

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time552ms−31ms

first ⅓ avg 582ms → last ⅓ avg 552ms

Headshot accuracy17.0%+1.1%

first ⅓ avg 15.9% → last ⅓ avg 17.0%

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 — ancient 13–4

13–1Biggest win — ancient

6Longest win streak

8–11In matches decided by ≤2 rounds

15Overtime games

Map breakdown

nukeBest map · 75% over 8infernoWeakest map · 50% over 6

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	32	17–15	53%	0.02
dust2	S	20	13–7	65%	0.03
mirage	A	16	9–7	56%	0.01
overpass	S	9	6–3	67%	0.02
nuke	S	8	6–2	75%	0.00
inferno	B	6	3–3	50%	0.02
train	A	5	3–2	60%	-0.00
anubis	—	2	1–1	50%	0.02
office	—	1	0–1	0%	-0.03
vertigo	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (50% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,696Matches

50%Win rate

1.13Avg K/D

80.7ADR

40%Headshot %

Clutches & streaks

37%1v1 clutch win

21%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	590	54%	1.13	16.9
Mirage	522	47%	1.08	16.6
Anubis	466	52%	1.21	17.6
Dust2	376	44%	1.05	16.4
Nuke	235	53%	1.15	17.8
Inferno	231	50%	1.09	16.4
Train	115	56%	1.25	17.1
Vertigo	87	49%	1.20	17.9

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.

16.9%Headshot accuracy

40.3%Accuracy (enemy spotted)

39.7%Spray accuracy

83.2%Counter-strafing

9.8°Preaim

548msReaction time

28.2%T opening success

58.9%CT opening success

0.68Enemies flashed / flash

4.0%Flash assists

7.50HE damage / grenade

3.44Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.4435 — below the 4 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 28.183% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–6	-0.03	30%	21 Apr →
dust2	13–16	0.02	17%	21 Apr →
dust2	13–16	0.04	21%	20 Apr →
mirage	8–13	0.01	16%	23 Jan →
anubis	13–8	-0.02	19%	19 Jan →
overpass	5–13	-0.02	9%	9 Jan →
overpass	13–8	0.02	12%	2 Jan →
overpass	13–9	0.00	28%	23 Dec →
nuke	13–4	0.04	18%	18 Dec →
mirage	4–13	0.01	16%	16 Dec →
inferno	6–13	0.00	19%	14 Dec →
dust2	13–4	0.09	19%	14 Dec →
ancient	13–16	-0.04	17%	9 Dec →
inferno	13–6	0.08	25%	8 Dec →
dust2	13–9	0.00	8%	8 Dec →
inferno	4–13	-0.03	20%	7 Dec →
dust2	7–13	-0.02	12%	2 Dec →
train	19–22	0.01	14%	1 Dec →
ancient	11–13	0.01	22%	1 Dec →
dust2	4–13	-0.03	11%	23 Nov →
ancient	13–10	-0.02	13%	20 Nov →
ancient	16–14	0.01	14%	16 Nov →
train	10–13	-0.03	10%	13 Nov →
nuke	13–9	0.09	17%	9 Nov →
mirage	13–11	-0.03	11%	5 Nov →
train	13–11	0.02	13%	3 Nov →
mirage	16–14	-0.01	16%	2 Nov →
ancient	13–7	-0.00	16%	29 Oct →
nuke	6–13	-0.02	26%	28 Oct →
ancient	19–17	0.01	20%	25 Oct →
train	13–10	-0.05	15%	25 Oct →
ancient	13–1	0.09	16%	23 Oct →
mirage	11–13	0.01	20%	15 Oct →
ancient	3–13	-0.09	10%	14 Oct →
ancient	4–13	-0.05	27%	13 Oct →
ancient	5–3	0.10	24%	13 Oct →
inferno	13–10	0.02	14%	12 Oct →
mirage	12–16	-0.02	6%	11 Oct →
mirage	11–13	0.02	23%	30 Sept →
dust2	13–7	0.01	35%	28 Sept →
dust2	13–7	0.03	16%	27 Sept →
overpass	13–4	0.05	21%	27 Sept →
ancient	13–10	0.04	12%	26 Sept →
inferno	13–2	0.14	19%	25 Sept →
mirage	16–13	-0.01	12%	24 Sept →
ancient	10–13	-0.05	10%	21 Sept →
ancient	11–13	0.06	20%	16 Sept →
overpass	10–13	-0.02	15%	16 Sept →
mirage	13–8	0.00	31%	13 Sept →
dust2	13–6	0.15	21%	11 Sept →
overpass	19–17	0.01	17%	11 Sept →
mirage	6–13	0.06	4%	11 Sept →
mirage	13–7	0.01	17%	11 Sept →
train	13–10	0.04	13%	10 Sept →
ancient	8–13	-0.00	9%	9 Sept →
mirage	13–3	0.10	18%	9 Sept →
dust2	13–7	0.05	20%	9 Sept →
ancient	5–13	-0.00	15%	5 Sept →
ancient	13–2	0.14	23%	5 Sept →
office	0–13	-0.03	33%	4 Sept →
vertigo	5–0	-0.01	0%	4 Sept →
mirage	13–3	-0.01	23%	4 Sept →
nuke	19–16	0.01	9%	3 Sept →
ancient	10–13	-0.02	11%	1 Sept →
dust2	13–11	0.01	8%	1 Sept →
inferno	6–13	-0.08	17%	31 Aug →
ancient	11–13	-0.02	14%	27 Aug →
ancient	13–7	0.01	17%	27 Aug →
ancient	13–5	0.03	10%	27 Aug →
dust2	5–13	0.00	23%	27 Aug →
ancient	13–4	0.16	8%	27 Aug →
ancient	13–9	0.04	19%	27 Aug →
overpass	13–4	0.03	21%	27 Aug →
overpass	13–7	0.05	17%	26 Aug →
dust2	13–7	0.03	25%	26 Aug →
mirage	13–5	0.02	13%	24 Aug →
dust2	8–13	0.03	21%	24 Aug →
nuke	13–6	-0.05	14%	23 Aug →
dust2	22–18	0.05	13%	23 Aug →
ancient	11–13	0.01	17%	22 Aug →
nuke	9–13	0.01	17%	22 Aug →
dust2	13–6	0.04	13%	21 Aug →
ancient	13–9	0.09	15%	21 Aug →
dust2	13–4	0.03	21%	21 Aug →
nuke	13–5	-0.00	11%	21 Aug →
overpass	11–13	0.03	11%	20 Aug →
ancient	14–16	-0.00	12%	18 Aug →
mirage	8–13	0.02	14%	16 Aug →
ancient	13–1	0.08	14%	15 Aug →
dust2	5–13	-0.06	17%	15 Aug →
ancient	13–3	0.11	18%	15 Aug →
ancient	11–13	0.09	15%	10 Jul →
anubis	11–13	0.05	13%	9 Jul →
dust2	13–5	0.03	27%	9 Jul →
nuke	16–13	-0.06	12%	9 Jul →
ancient	7–13	-0.07	8%	9 Jul →
ancient	11–13	0.03	14%	9 Jul →
ancient	16–12	0.01	11%	8 Jul →
dust2	13–6	0.04	22%	7 Jul →
ancient	13–8	0.01	22%	7 Jul →