Elsa — CS2 Stats

SE76561198363234032[U:1:402968304]Steam profile ↗✓ No bans

843Tracked matches57%Win rate2020Tracked since

1,162Hours in CS

CSDB Rating5.8 SolidHybrid Rifler

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,149), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 3 median	Level 4 median	vs Level 4
Headshot rate	48.0%	42.2%	42.7%	above
Shot accuracy	17.8%	11.9%	10.8%	above
Kill/death ratio	0.86	0.98	1.00	0.13 short
Match win rate	47.8%	43.6%	44.1%	above

This profile matches the typical Level 4 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim66

Positioning46

Utility54

0–100 skill scores via Leetify.

Recent form

HOT53–47Last 10053%Win rateLWLWLWWWWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

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

Aim6.6

Aggression4.6

Utility5.4

Positioning4.6

Opening Duels1.5

Clutch5.4

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 85% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Areas to improve

T-side openings. Opening success drops from 51% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 596ms 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

Aim6.6

Positioning4.6

Utility5.4

Mechanics7.2

Opening Duels2.6

Win Impact7.2

Composite 5.8/10 (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 rating-0.03−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time594ms−92ms

first ⅓ avg 686ms → last ⅓ avg 594ms

Headshot accuracy22.6%−1.1%

first ⅓ avg 23.7% → last ⅓ avg 22.6%

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

0.08Best rating — nuke 13–2

13–2Biggest win — nuke

5Longest win streak

11–10In matches decided by ≤2 rounds

11Overtime games

Map breakdown

infernoBest map · 67% over 9dust2Weakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
vertigo	B	19	10–9	53%	-0.00
mirage	B	17	8–9	47%	-0.04
ancient	B	15	8–7	53%	-0.03
anubis	B	12	6–6	50%	-0.01
dust2	C	11	4–7	36%	-0.03
inferno	S	9	6–3	67%	-0.01
cache_b	A	8	5–3	63%	-0.02
nuke	A	5	3–2	60%	-0.01
overpass	—	3	2–1	67%	-0.01
train	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

57,118Lifetime kills

0.86K/D

2,911Matches

47.8%Match win rate · Top 25% of Level 3 players

48.0%Headshot % · Top 25% of Level 3 players

17.8%Shot accuracy · Top 25% of Level 3 players

9,460MVPs

1,162Hours (in match)

1,702Bombs planted

1,852Bombs defused

Most-used weapons

AK-4718,753

M4A4 / M4A1-S10,267

AWP8,910

Desert Eagle4,635

P2000 / USP-S3,493

Glock-182,800

Knife1,717

Galil AR1,327

FAMAS1,070

MP9757

Lifetime map wins

4,769vertigo

4,122dust2

4,097inferno

2,580nuke

941train

905cbble

104lake

6office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

325Matches

47%Win rate

1.05Avg K/D

76.5ADR

50%Headshot %

Clutches & streaks

47%1v1 clutch win

19%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	35	57%	1.04	15.4
Nuke	21	48%	1.07	16.9
Dust2	18	39%	0.94	14.2
Ancient	17	35%	0.81	13.5
Vertigo	15	53%	1.32	16.4
Inferno	11	27%	0.83	14.4
Anubis	8	25%	1.12	16.4
Train	4	0%	0.80	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.

23.0%Headshot accuracy

28.5%Accuracy (enemy spotted)

28.7%Spray accuracy

82.6%Counter-strafing

8.7°Preaim

596msReaction time

20.9%T opening success

50.7%CT opening success

0.68Enemies flashed / flash

7.0%Flash assists

7.42HE damage / grenade

6.09Flashes / 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 20.9104% — 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.

36% win rate across 11 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
anubis	9–13	-0.02	7%	15 Feb →
anubis	13–11	0.02	20%	15 Feb →
vertigo	19–22	0.00	26%	14 Feb →
ancient	13–5	-0.07	17%	14 Feb →
mirage	10–13	-0.06	20%	13 Feb →
inferno	13–11	-0.01	26%	13 Feb →
mirage	13–11	-0.03	15%	13 Feb →
overpass	13–11	-0.03	13%	13 Feb →
mirage	13–3	0.00	33%	12 Feb →
ancient	13–5	0.03	12%	12 Feb →
ancient	9–13	-0.05	36%	12 Feb →
cache_b	13–11	-0.03	24%	12 Feb →
mirage	6–13	-0.09	31%	11 Feb →
vertigo	13–7	0.03	16%	11 Feb →
ancient	13–6	0.00	22%	11 Feb →
vertigo	5–13	-0.06	13%	11 Feb →
mirage	3–13	-0.07	22%	11 Feb →
vertigo	13–8	0.03	14%	10 Feb →
mirage	13–7	0.00	24%	10 Feb →
vertigo	13–6	-0.03	10%	10 Feb →
mirage	6–13	-0.07	41%	10 Feb →
anubis	9–13	0.01	25%	10 Feb →
cache_b	11–13	-0.07	22%	10 Feb →
mirage	13–11	-0.05	36%	10 Feb →
ancient	13–7	-0.03	36%	9 Feb →
ancient	13–4	-0.06	23%	9 Feb →
vertigo	10–13	-0.00	40%	9 Feb →
mirage	13–4	-0.11	29%	9 Feb →
nuke	14–16	-0.08	18%	9 Feb →
dust2	7–13	-0.08	17%	9 Feb →
mirage	13–7	-0.04	11%	9 Feb →
vertigo	13–9	-0.02	12%	9 Feb →
ancient	11–13	-0.02	33%	8 Feb →
vertigo	5–13	0.01	59%	8 Feb →
nuke	13–2	0.08	47%	8 Feb →
anubis	16–13	0.02	17%	8 Feb →
inferno	11–13	-0.06	28%	8 Feb →
dust2	10–13	-0.02	0%	24 Jan →
dust2	10–13	-0.08	0%	24 Jan →
vertigo	13–9	0.01	0%	24 Jan →
inferno	11–13	-0.01	0%	23 Jan →
vertigo	13–10	-0.02	0%	23 Jan →
anubis	10–13	-0.06	0%	23 Jan →
vertigo	13–16	0.02	0%	23 Jan →
vertigo	13–10	0.06	25%	18 Jan →
ancient	10–13	-0.04	24%	18 Jan →
anubis	13–11	-0.03	32%	18 Jan →
dust2	8–13	-0.06	28%	18 Jan →
dust2	8–13	0.03	41%	17 Jan →
mirage	6–13	0.02	51%	17 Jan →
vertigo	7–13	0.03	38%	17 Jan →
mirage	13–10	-0.05	31%	17 Jan →
inferno	13–10	-0.00	26%	17 Jan →
dust2	14–16	-0.05	15%	17 Jan →
dust2	8–12	0.02	38%	11 Jan →
cache_b	2–13	-0.09	25%	11 Jan →
overpass	6–13	-0.04	22%	11 Jan →
inferno	13–7	-0.02	15%	11 Jan →
nuke	13–9	-0.01	28%	11 Jan →
vertigo	8–13	-0.05	15%	11 Jan →
anubis	9–13	-0.01	24%	11 Jan →
mirage	7–13	-0.02	26%	11 Jan →
train	13–10	0.03	11%	11 Jan →
ancient	13–11	-0.05	19%	10 Jan →
ancient	13–4	-0.01	18%	10 Jan →
anubis	13–5	-0.06	29%	10 Jan →
cache_b	13–7	-0.03	22%	10 Jan →
cache_b	13–16	-0.01	15%	10 Jan →
mirage	11–13	-0.07	20%	9 Jan →
mirage	3–13	-0.04	25%	9 Jan →
ancient	11–13	-0.02	27%	9 Jan →
anubis	16–14	-0.03	27%	6 Jan →
ancient	8–13	-0.03	18%	6 Jan →
inferno	13–10	-0.04	15%	6 Jan →
vertigo	7–13	-0.09	39%	6 Jan →
anubis	10–13	0.01	26%	6 Jan →
inferno	13–7	-0.00	14%	6 Jan →
ancient	4–13	-0.03	15%	5 Jan →
dust2	16–13	-0.05	21%	5 Jan →
mirage	13–5	0.01	67%	5 Jan →
nuke	13–10	-0.05	25%	5 Jan →
inferno	13–11	0.00	30%	5 Jan →
dust2	13–10	-0.03	41%	5 Jan →
vertigo	10–13	-0.03	27%	5 Jan →
overpass	13–7	0.05	21%	5 Jan →
vertigo	13–4	0.01	33%	5 Jan →
vertigo	16–12	0.00	18%	5 Jan →
cache_b	13–10	0.01	27%	4 Jan →
dust2	13–5	-0.02	19%	4 Jan →
mirage	8–13	-0.05	21%	4 Jan →
vertigo	25–23	0.01	21%	4 Jan →
cache_b	13–6	-0.02	33%	4 Jan →
nuke	11–13	0.02	14%	4 Jan →
ancient	11–13	-0.03	17%	4 Jan →
cache_b	13–7	0.07	18%	3 Jan →
anubis	9–13	0.01	18%	1 Jan →
inferno	6–13	0.02	20%	1 Jan →
dust2	13–9	0.04	15%	1 Jan →
ancient	16–13	-0.02	15%	1 Jan →
anubis	13–5	0.06	22%	1 Jan →