kswags alt acc — CS2 Stats

76561197961319884[U:1:1054156]

156Tracked matches59%Win rate2024Tracked since

CSDB Rating5.0 DevelopingPassive Rifler

Ladder ranks via Leetify

Performance scores

Aim63

Positioning35

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY57–42–1Last 10057%Win rateLWWLWWWWLL

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

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

Aim6.3

Aggression3.1

Utility5.9

Positioning3.5

Opening Duels0.0

Effective 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 NiKo 81% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 558ms 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

Positioning3.5

Utility5.9

Mechanics5.0

Opening Duels0.0

Win Impact7.9

Composite 5.0/10 (Developing), 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+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time568ms−2ms

first ⅓ avg 570ms → last ⅓ avg 568ms

Headshot accuracy16.8%+0.3%

first ⅓ avg 16.5% → last ⅓ avg 16.8%

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

0.18Best rating — cache 13–4

13–0Biggest win — anubis

5Longest win streak

4–11In matches decided by ≤2 rounds

7Overtime games

Map breakdown

nukeBest map · 78% over 9infernoWeakest map · 43% over 21

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	31	17–14	55%	-0.00
inferno	C	21	9–12	43%	0.01
ancient	A	17	10–7	59%	0.01
dust2	S	12	8–4	67%	-0.01
nuke	S	9	7–2	78%	-0.01
overpass	A	5	3–2	60%	0.03
anubis	—	3	2–1	67%	-0.01
cache	—	2	1–1	50%	0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.1%Headshot accuracy

32.7%Accuracy (enemy spotted)

38.4%Spray accuracy

72.4%Counter-strafing

9.8°Preaim

558msReaction time

26.2%T opening success

28.4%CT opening success

0.76Enemies flashed / flash

3.9%Flash assists

7.02HE damage / grenade

9.32Flashes / 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 26.1959% — 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.

43% win rate across 21 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
mirage	6–13	-0.03	15%	12 Jun →
dust2	13–8	0.02	19%	31 May →
inferno	13–8	-0.02	24%	31 May →
anubis	8–13	-0.00	16%	31 May →
mirage	13–11	0.01	18%	27 May →
mirage	13–9	0.15	25%	27 May →
mirage	13–10	0.02	22%	25 May →
ancient	13–2	0.04	16%	22 May →
ancient	1–2	-0.04	50%	22 May →
mirage	4–13	-0.02	21%	22 May →
nuke	13–10	-0.01	16%	20 May →
dust2	13–10	0.06	22%	19 May →
inferno	13–8	0.09	15%	16 May →
mirage	4–13	-0.04	16%	14 May →
mirage	13–8	0.03	14%	14 May →
mirage	13–4	0.12	10%	7 May →
mirage	8–13	0.02	9%	7 May →
dust2	13–10	0.05	16%	6 May →
ancient	0–13	-0.10	0%	5 May →
dust2	2–13	-0.10	29%	5 May →
mirage	13–8	-0.06	5%	5 May →
dust2	4–13	-0.05	16%	4 May →
cache	7–13	-0.00	13%	29 Apr →
cache	13–4	0.18	21%	29 Apr →
nuke	8–13	-0.04	16%	29 Apr →
mirage	13–11	0.03	14%	28 Apr →
mirage	13–8	0.01	11%	27 Apr →
mirage	4–13	-0.06	15%	26 Apr →
overpass	13–3	0.06	15%	26 Apr →
inferno	15–15	0.01	12%	15 Apr →
ancient	10–13	-0.02	17%	13 Apr →
inferno	11–13	0.01	11%	13 Apr →
inferno	11–13	-0.00	18%	11 Apr →
overpass	13–1	0.02	18%	10 Apr →
inferno	13–4	0.07	20%	10 Apr →
ancient	11–13	0.02	14%	6 Apr →
mirage	13–8	0.04	18%	30 Mar →
ancient	13–2	0.05	24%	25 Mar →
nuke	13–4	0.04	16%	23 Mar →
mirage	16–12	0.04	13%	23 Mar →
mirage	7–13	-0.01	17%	17 Mar →
dust2	14–16	-0.05	15%	16 Mar →
ancient	13–10	0.14	9%	14 Mar →
mirage	13–6	-0.03	32%	13 Mar →
nuke	13–2	-0.08	10%	11 Mar →
nuke	9–13	-0.08	13%	11 Mar →
mirage	6–13	-0.04	16%	7 Mar →
mirage	0–13	-0.09	0%	7 Mar →
nuke	13–6	0.05	11%	6 Mar →
inferno	6–13	0.06	30%	6 Mar →
dust2	7–2	-0.02	13%	6 Mar →
ancient	11–13	0.00	16%	4 Mar →
inferno	13–3	0.05	15%	4 Mar →
ancient	13–9	0.00	8%	4 Mar →
mirage	13–8	-0.04	13%	4 Mar →
ancient	13–11	0.06	20%	3 Mar →
nuke	16–13	0.06	22%	2 Mar →
inferno	4–13	-0.06	10%	2 Mar →
ancient	11–13	0.01	20%	28 Feb →
mirage	2–4	-0.11	17%	28 Feb →
inferno	13–2	0.02	15%	26 Feb →
mirage	7–13	-0.01	19%	26 Feb →
inferno	16–14	-0.02	8%	20 Feb →
mirage	13–5	0.01	19%	19 Feb →
ancient	13–5	-0.11	12%	19 Feb →
ancient	9–13	-0.03	1%	17 Feb →
mirage	13–10	-0.06	16%	14 Feb →
inferno	9–13	-0.05	14%	14 Feb →
inferno	9–13	-0.08	6%	14 Feb →
dust2	13–4	0.02	19%	13 Feb →
mirage	13–3	-0.06	15%	13 Feb →
mirage	13–16	-0.00	11%	11 Feb →
mirage	5–13	0.09	13%	11 Feb →
inferno	13–7	0.01	12%	10 Feb →
inferno	3–13	0.01	20%	10 Feb →
nuke	13–9	0.01	10%	9 Feb →
inferno	7–13	0.01	18%	8 Feb →
anubis	13–0	-0.00	13%	6 Feb →
ancient	13–2	0.09	14%	4 Feb →
mirage	13–1	-0.00	9%	4 Feb →
inferno	9–13	0.02	18%	2 Feb →
inferno	11–13	-0.01	15%	29 Jan →
anubis	13–9	-0.02	13%	29 Jan →
nuke	13–2	-0.05	43%	28 Jan →
ancient	13–5	0.08	20%	27 Jan →
dust2	6–3	-0.03	6%	27 Jan →
mirage	10–3	0.08	20%	22 Jan →
dust2	9–13	0.01	16%	22 Jan →
ancient	13–6	0.04	12%	19 Jan →
inferno	11–13	0.00	8%	19 Jan →
inferno	13–8	0.01	15%	19 Jan →
mirage	1–13	-0.06	11%	19 Jan →
overpass	0–6	-0.06	50%	16 Jan →
overpass	16–13	0.14	11%	15 Jan →
dust2	13–8	-0.05	16%	15 Jan →
overpass	8–13	-0.03	18%	14 Jan →
ancient	13–3	-0.01	17%	14 Jan →
inferno	13–9	0.04	17%	14 Jan →
dust2	13–10	0.00	34%	14 Jan →
mirage	11–13	0.05	10%	14 Jan →

Show all 100 matchesShow fewer

Match data via Leetify.

Milestones

100 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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