jera — CS2 Stats

FI76561198329516408[U:1:369250680]Steam profile ↗✓ No bans

2,145Tracked matches66%Win rate2020Tracked since

3,670Hours in CS30Hrs last 2 wks

CSDB Rating7.7 StrongAggressive Rifler

Premier CS Rating24,899Top 50% of 819 CSDB-tracked playersPink band · top ~3.1% of ranked players (population est.)

CSDB Leaderboard#3016 of 19124 tracked

FaceitLevel 10 · 2,073 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median
Headshot rate	48.5%	52.8%
Shot accuracy	12.6%	13.7%
Kill/death ratio	1.00	1.08
Match win rate	42.7%	49.2%

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

Aim92

Positioning68

Utility54

0–100 skill scores via Leetify.

Recent form

HOT52–44–4Last 10052%Win rateLWWWWLWWWW

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

Player DNA

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

Aim9.2

Aggression10.0

Utility5.4

Positioning6.8

Opening Duels4.9

Clutch2.8

Sharp aimerLimited 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 sh1ro 97% playstyle similarity

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

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

Aim. Aim score of 92 — the mechanical foundation is a clear strength.

Areas to improve

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

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

Aim9.2

Positioning6.8

Utility5.4

Mechanics7.2

Opening Duels4.9

Win Impact10.0

Composite 7.7/10 (Strong), 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 rating0.06+0.00

first ⅓ avg 0.05 → last ⅓ avg 0.06

Reaction time491ms−40ms

first ⅓ avg 531ms → last ⅓ avg 491ms

Headshot accuracy22.9%−0.7%

first ⅓ avg 23.5% → last ⅓ avg 22.9%

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

0.26Best rating — fachwerk 13–3

13–1Biggest win — inferno

8Longest win streak

10–6In matches decided by ≤2 rounds

4Overtime games

Map breakdown

infernoBest map · 73% over 15nukeWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	29	11–18	38%	0.04
anubis	A	21	12–9	57%	0.07
inferno	S	15	11–4	73%	0.07
nuke	D	7	2–5	29%	0.03
vertigo	S	6	4–2	67%	0.14
ancient	S	6	4–2	67%	0.00
train	D	6	2–4	33%	0.02
dust2	—	4	2–2	50%	0.02
cache	—	3	3–0	100%	0.03
fachwerk	—	1	1–0	100%	0.26
debris	—	1	0–1	0%	0.09
office	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

131,869Lifetime kills

1.00K/D

5,376Matches

42.7%Match win rate

48.5%Headshot %

12.6%Shot accuracy

18,324MVPs

2,800Hours (in match)

4,372Bombs planted

970Bombs defused

Most-used weapons

AK-4751,813

AWP18,638

M4A4 / M4A1-S16,330

Desert Eagle12,581

P2000 / USP-S8,664

Glock-184,407

FAMAS3,069

Galil AR3,059

P2502,289

Knife1,862

Lifetime map wins

5,628train

5,136inferno

3,027nuke

2,554dust2

1,503vertigo

518cbble

72lake

50office

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

Faceit stats

Combat

1,172Matches

51%Win rate

1.18Avg K/D

88.3ADR

44%Headshot %

Clutches & streaks

34%1v1 clutch win

23%1v2 clutch win

13Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	191	52%	1.20	19.0
Ancient	69	45%	1.12	17.7
Inferno	59	59%	1.34	19.6
Nuke	52	42%	1.10	16.8
Anubis	47	49%	1.24	17.6
Dust2	46	59%	1.11	16.7
Vertigo	29	52%	1.19	17.4
Cache	14	43%	1.12	18.0

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.

22.6%Headshot accuracy

37.2%Accuracy (enemy spotted)

45.1%Spray accuracy

82.4%Counter-strafing

7.7°Preaim

480msReaction time

49.7%T opening success

49.2%CT opening success

0.59Enemies flashed / flash

3.5%Flash assists

9.15HE damage / grenade

3.57Flashes / 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 3.5654 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	8–13	0.10	26%	27 Aug →
mirage	13–9	0.12	26%	25 Aug →
inferno	13–8	0.01	16%	25 Aug →
anubis	13–6	0.08	38%	25 Aug →
inferno	13–11	0.08	23%	25 Aug →
mirage	6–13	0.01	19%	24 Aug →
nuke	13–7	0.06	27%	24 Aug →
cache	10–1	0.08	24%	23 Aug →
mirage	13–6	0.03	29%	23 Aug →
anubis	13–11	0.04	31%	22 Aug →
vertigo	13–8	0.09	16%	22 Aug →
inferno	13–5	0.11	20%	22 Aug →
ancient	13–9	0.01	16%	22 Aug →
anubis	13–6	0.03	8%	21 Aug →
mirage	9–13	0.02	24%	21 Aug →
inferno	8–13	-0.01	15%	21 Aug →
inferno	13–4	0.08	21%	20 Aug →
inferno	13–5	0.01	22%	19 Aug →
mirage	13–11	0.04	20%	18 Aug →
dust2	6–13	-0.00	31%	18 Aug →
mirage	5–13	-0.06	20%	18 Aug →
nuke	3–8	0.14	29%	16 Aug →
mirage	7–13	0.04	24%	16 Aug →
mirage	12–12	-0.02	31%	16 Aug →
vertigo	13–6	0.01	17%	15 Aug →
anubis	13–10	0.06	16%	13 Aug →
train	4–13	-0.00	25%	13 Aug →
inferno	13–8	0.11	15%	13 Aug →
mirage	3–13	0.01	24%	9 Aug →
inferno	13–6	0.10	27%	9 Aug →
mirage	13–10	0.11	26%	6 Aug →
anubis	13–8	0.19	20%	6 Aug →
vertigo	9–4	0.21	28%	6 Aug →
inferno	10–13	-0.03	12%	6 Aug →
nuke	11–13	-0.00	19%	6 Aug →
anubis	13–10	0.00	24%	6 Aug →
vertigo	5–13	0.21	23%	5 Aug →
mirage	5–13	0.02	15%	5 Aug →
inferno	16–19	0.11	19%	5 Aug →
anubis	6–13	-0.06	17%	5 Aug →
mirage	13–11	0.08	22%	5 Aug →
anubis	10–13	0.07	30%	4 Aug →
mirage	13–6	0.03	29%	4 Aug →
mirage	13–8	-0.02	30%	4 Aug →
anubis	13–8	0.04	25%	3 Aug →
inferno	13–8	0.02	20%	3 Aug →
train	12–12	0.02	24%	3 Aug →
inferno	10–13	0.14	18%	3 Aug →
anubis	5–13	0.04	19%	2 Aug →
mirage	8–13	0.09	25%	2 Aug →
train	12–12	-0.04	16%	2 Aug →
ancient	16–14	0.07	32%	1 Aug →
mirage	13–5	0.10	24%	1 Aug →
ancient	11–13	0.02	10%	1 Aug →
anubis	13–5	0.06	20%	31 Jul →
anubis	3–13	-0.06	4%	31 Jul →
fachwerk	13–3	0.26	21%	30 Jul →
anubis	9–13	0.17	24%	30 Jul →
train	10–13	-0.00	20%	30 Jul →
ancient	13–7	-0.01	20%	30 Jul →
anubis	10–13	0.01	12%	30 Jul →
dust2	13–11	0.02	21%	30 Jul →
anubis	13–9	0.04	19%	30 Jul →
mirage	10–13	0.06	18%	30 Jul →
inferno	9–4	0.10	28%	29 Jul →
anubis	8–13	0.06	24%	29 Jul →
vertigo	13–11	0.09	19%	29 Jul →
mirage	5–13	0.06	20%	29 Jul →
anubis	13–11	0.17	22%	29 Jul →
train	13–7	0.08	27%	29 Jul →
vertigo	8–13	0.22	24%	29 Jul →
inferno	13–10	0.04	31%	29 Jul →
dust2	13–11	0.01	15%	29 Jul →
nuke	8–13	-0.03	17%	28 Jul →
ancient	13–9	-0.00	13%	28 Jul →
mirage	20–22	0.01	13%	28 Jul →
mirage	11–13	0.08	32%	28 Jul →
anubis	13–7	0.15	33%	28 Jul →
mirage	5–13	0.03	21%	28 Jul →
mirage	13–8	-0.03	29%	27 Jul →
ancient	9–13	-0.06	38%	27 Jul →
anubis	12–12	0.00	15%	27 Jul →
dust2	8–13	0.05	26%	27 Jul →
mirage	13–6	0.01	30%	27 Jul →
debris	6–9	0.09	22%	27 Jul →
mirage	14–16	-0.02	8%	27 Jul →
nuke	13–7	0.02	33%	26 Jul →
cache	13–8	0.00	18%	26 Jul →
train	13–11	0.04	22%	26 Jul →
nuke	7–13	0.12	22%	26 Jul →
inferno	13–1	0.16	28%	26 Jul →
mirage	4–13	0.04	28%	26 Jul →
nuke	10–13	-0.06	15%	25 Jul →
mirage	7–13	0.09	36%	25 Jul →
anubis	11–13	0.07	22%	25 Jul →
mirage	13–6	0.14	27%	24 Jul →
anubis	13–5	0.21	30%	24 Jul →
cache	7–3	-0.01	22%	24 Jul →
mirage	4–13	0.10	31%	24 Jul →
office	1–13	-0.03	10%	24 Jul →