Elsida — CS2 Stats

ES76561198119491393[U:1:159225665]Steam profile ↗✓ No bans

1,742Tracked matches45%Win rate2020Tracked since

3,399Hours in CS7Hrs last 2 wks

CSDB Rating3.9 Learning

Premier CS Rating22,617Top 50% of 29,473 CSDB-tracked playersPink band · top ~5.6% of ranked players (population est.)

CSDB Leaderboard#12777 of 53437 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=1,571), 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 6 median	Level 7 median	vs Level 7
Headshot rate	47.4%	44.7%	46.1%	above
Shot accuracy	13.2%	11.9%	12.6%	above
Kill/death ratio	0.97	1.04	1.05	0.08 short
Match win rate	46.8%	45.2%	45.7%	above

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim49

Positioning43

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateLLWWLWLLWL

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

Player DNA

Aim4.9

Aggression4.0

Utility4.2

Positioning4.3

Opening Duels1.0

Clutch3.8

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 76% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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

Reaction time. 597ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim4.9

Positioning4.3

Utility4.2

Mechanics2.9

Opening Duels1.0

Win Impact3.3

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.02

Reaction time587ms−21ms

first ⅓ avg 609ms → last ⅓ avg 587ms

Headshot accuracy17.2%−2.8%

first ⅓ avg 20.1% → last ⅓ avg 17.2%

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

0.10Best rating — anubis 15–15

13–1Biggest win — dust2

10Longest win streak

L2Current streak

8–9In matches decided by ≤2 rounds

10Overtime games

Map breakdown

ancientBest map · 73% over 11dust2Weakest map · 35% over 20

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	22	10–12	45%	-0.04
dust2	C	20	7–13	35%	-0.02
mirage	A	19	12–7	63%	0.00
cache	C	14	6–8	43%	-0.01
anubis	A	11	6–5	55%	0.01
ancient	S	11	8–3	73%	-0.01
nuke	—	3	2–1	67%	-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

82,216Lifetime kills

0.97K/D

4,272Matches

46.8%Match win rate · Top 50% of Level 6 players

47.4%Headshot % · Top 50% of Level 6 players

13.2%Shot accuracy · Top 50% of Level 6 players

10,806MVPs

1,870Hours (in match)

4,309Bombs planted

1,056Bombs defused

Most-used weapons

AK-4723,280

M4A4 / M4A1-S14,618

P2000 / USP-S6,579

AWP6,001

Glock-184,585

MAC-104,012

MP93,662

Desert Eagle3,490

UMP-452,007

Knife1,874

Lifetime map wins

10,313inferno

5,825dust2

2,808nuke

1,828vertigo

1,155train

182cbble

50safehouse

11lake

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

Faceit stats

Combat

478Matches

50%Win rate

1.02Avg K/D

80.3ADR

47%Headshot %

Clutches & streaks

39%1v1 clutch win

28%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	44	48%	1.23	17.3
Dust2	28	46%	0.88	14.6
Inferno	26	50%	1.09	17.3
Anubis	23	74%	1.06	15.6
Ancient	19	37%	0.95	14.6
Nuke	10	30%	0.83	15.6
Train	6	50%	0.97	16.8
Vertigo	6	83%	1.15	18.3

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.

16.6%Headshot accuracy

35.0%Accuracy (enemy spotted)

39.2%Spray accuracy

62.9%Counter-strafing

12.1°Preaim

597msReaction time

33.2%T opening success

34.7%CT opening success

0.52Enemies flashed / flash

5.3%Flash assists

9.12HE damage / grenade

4.36Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.1255° — above the 12° mark we flag
Aim Training →

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.

35% win rate across 20 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
inferno	11–13	-0.05	16%	30 Aug →
mirage	10–13	-0.06	10%	29 Aug →
anubis	13–3	0.02	15%	29 Aug →
ancient	13–10	0.07	13%	29 Aug →
inferno	5–13	-0.05	21%	29 Aug →
cache	16–14	0.05	14%	27 Aug →
cache	9–13	-0.06	14%	19 Aug →
inferno	9–13	0.00	14%	18 Aug →
inferno	13–7	-0.03	22%	18 Aug →
dust2	5–13	-0.05	19%	3 Aug →
dust2	7–13	-0.08	13%	31 Jul →
dust2	15–15	-0.01	21%	30 Jul →
anubis	3–13	-0.04	10%	29 Jul →
cache	13–2	0.02	27%	29 Jul →
dust2	13–16	-0.01	20%	28 Jul →
inferno	13–11	0.00	18%	28 Jul →
dust2	13–8	-0.06	10%	28 Jul →
mirage	3–13	-0.02	6%	28 Jul →
nuke	13–7	-0.03	21%	27 Jul →
cache	13–10	0.00	24%	27 Jul →
cache	5–13	0.05	13%	27 Jul →
inferno	7–13	-0.06	12%	26 Jul →
dust2	7–13	-0.06	13%	25 Jul →
ancient	13–7	0.01	20%	25 Jul →
cache	0–13	-0.06	24%	25 Jul →
dust2	11–13	0.00	16%	25 Jul →
anubis	13–2	-0.02	15%	25 Jul →
inferno	11–13	-0.11	10%	24 Jul →
dust2	13–11	-0.08	23%	24 Jul →
mirage	13–5	0.05	26%	24 Jul →
cache	1–4	-0.09	50%	24 Jul →
anubis	15–15	-0.04	10%	24 Jul →
dust2	13–4	0.02	9%	24 Jul →
mirage	16–12	-0.01	16%	24 Jul →
inferno	7–13	-0.04	31%	23 Jul →
mirage	6–13	-0.01	15%	23 Jul →
anubis	4–6	-0.02	28%	23 Jul →
inferno	13–7	-0.02	8%	23 Jul →
ancient	13–5	-0.05	18%	23 Jul →
ancient	13–5	-0.05	12%	23 Jul →
inferno	13–9	-0.04	20%	23 Jul →
mirage	13–10	-0.02	13%	23 Jul →
nuke	13–10	-0.04	20%	23 Jul →
mirage	13–4	0.01	29%	23 Jul →
dust2	13–1	-0.01	25%	23 Jul →
ancient	16–14	0.02	26%	22 Jul →
inferno	13–3	0.07	18%	22 Jul →
mirage	12–16	-0.05	26%	21 Jul →
cache	9–13	0.02	16%	21 Jul →
inferno	13–5	-0.02	13%	21 Jul →
dust2	9–13	-0.05	14%	21 Jul →
cache	13–6	0.02	13%	20 Jul →
nuke	3–13	-0.12	10%	20 Jul →
dust2	6–13	0.00	17%	20 Jul →
dust2	13–10	0.09	16%	20 Jul →
anubis	13–11	-0.05	18%	20 Jul →
ancient	13–5	0.01	7%	20 Jul →
inferno	2–9	-0.27	5%	20 Jul →
ancient	13–11	-0.02	14%	19 Jul →
inferno	6–13	-0.04	18%	18 Jul →
inferno	13–9	-0.04	8%	18 Jul →
cache	7–13	-0.01	24%	18 Jul →
cache	5–13	0.01	19%	18 Jul →
inferno	13–10	-0.03	23%	18 Jul →
ancient	13–7	0.04	13%	17 Jul →
mirage	13–5	0.09	14%	17 Jul →
ancient	3–13	-0.01	21%	16 Jul →
mirage	7–13	-0.00	14%	16 Jul →
mirage	10–13	0.05	15%	16 Jul →
cache	6–13	-0.00	11%	15 Jul →
anubis	13–10	0.02	18%	15 Jul →
mirage	13–7	0.01	20%	15 Jul →
mirage	13–10	-0.05	16%	15 Jul →
dust2	9–13	-0.00	15%	15 Jul →
inferno	13–5	0.00	7%	15 Jul →
inferno	11–13	-0.07	20%	15 Jul →
dust2	11–13	-0.07	16%	15 Jul →
dust2	5–13	-0.01	17%	15 Jul →
anubis	13–6	0.09	23%	15 Jul →
mirage	5–13	0.02	18%	14 Jul →
mirage	13–9	-0.00	19%	14 Jul →
mirage	13–11	0.02	25%	14 Jul →
cache	13–7	-0.07	35%	14 Jul →
cache	13–9	0.04	26%	14 Jul →
anubis	15–15	0.10	23%	14 Jul →
ancient	5–13	-0.02	29%	14 Jul →
anubis	11–13	0.00	24%	13 Jul →
inferno	11–13	-0.01	22%	13 Jul →
mirage	13–4	0.05	17%	13 Jul →
dust2	13–6	0.07	23%	13 Jul →
dust2	10–13	-0.05	20%	13 Jul →
ancient	10–13	-0.06	16%	13 Jul →
mirage	13–10	-0.01	21%	13 Jul →
dust2	8–13	-0.08	32%	1 Jul →
anubis	13–6	0.07	27%	1 Jul →
inferno	16–14	0.03	23%	1 Jul →
inferno	15–15	-0.04	19%	30 Jun →
dust2	13–8	0.01	23%	30 Jun →
mirage	13–6	-0.02	6%	30 Jun →
inferno	11–13	0.01	21%	30 Jun →