Er1gg✈ — CS2 Stats

76561198108298094[U:1:148032366]Steam profile ↗✓ No bans

1,979Tracked matches48%Win rate2020Tracked since

5,313Hours in CS

CSDB Rating6.4 SolidAggressive Rifler

Premier CS Rating22,781Top 50% of 819 CSDB-tracked playersPink band · top ~5.4% of ranked players (population est.)

CSDB Leaderboard#5692 of 21173 tracked

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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	Pink band median
Headshot rate	55.8%	48.1%
Shot accuracy	16.7%	12.9%
Kill/death ratio	1.10	1.08
Match win rate	46.2%	46.5%

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Performance scores

Aim84

Positioning56

Utility41

0–100 skill scores via Leetify.

Recent form

STEADY50–45–5Last 10050%Win rateWLWLWLLWWL

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

Player DNA

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

Aim8.4

Aggression8.3

Utility4.1

Positioning5.6

Opening Duels4.2

Clutch7.6

Limited utility dependenceReliable in 1v1s

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 ropz 91% playstyle similarity

Most alike: positioning profile, 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

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.6° off target when enemies appear — placement, not flicking, is the bigger win available.

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

Reaction time. 566ms 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

Aim8.4

Positioning5.6

Utility4.1

Mechanics7.7

Opening Duels4.2

Win Impact4.4

Composite 6.4/10 (Solid), 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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time570ms−31ms

first ⅓ avg 602ms → last ⅓ avg 570ms

Headshot accuracy22.2%−2.6%

first ⅓ avg 24.8% → last ⅓ avg 22.2%

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

0.14Best rating — poseidon 9–5

13–1Biggest win — cache

8Longest win streak

8–9In matches decided by ≤2 rounds

14Overtime games

Map breakdown

infernoBest map · 62% over 13nukeWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	26	12–14	46%	0.01
cache	B	19	10–9	53%	0.02
ancient	B	19	10–9	53%	0.03
inferno	A	13	8–5	62%	0.02
anubis	A	9	5–4	56%	0.01
nuke	C	8	3–5	38%	0.03
mirage	—	4	1–3	25%	0.05
poseidon	—	1	1–0	100%	0.14
overpass	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

243,369Lifetime kills

1.10K/D · Top 50% of Pink band

9,466Matches

46.2%Match win rate

55.8%Headshot % · Top 25% of Pink band

16.7%Shot accuracy · Top 25% of Pink band

27,327MVPs

5,313Hours (in match)

8,263Bombs planted

1,926Bombs defused

Most-used weapons

AK-4789,730

M4A4 / M4A1-S31,506

P2000 / USP-S25,431

AWP25,425

Desert Eagle17,680

Glock-188,684

P2506,301

MP95,053

FAMAS3,837

SSG 083,274

Lifetime map wins

15,082nuke

14,940inferno

11,123dust2

8,264train

3,368vertigo

2,649cbble

430office

188italy

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

Faceit stats

Combat

2,220Matches

50%Win rate

1.14Avg K/D

93.3ADR

50%Headshot %

Clutches & streaks

58%1v1 clutch win

25%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	24	62%	1.57	19.0
Anubis	21	57%	1.57	19.1
Mirage	20	40%	1.13	17.2
Dust2	19	68%	1.33	19.0
Inferno	17	59%	1.44	22.8
Nuke	15	47%	1.13	17.7
Cache	9	56%	1.47	15.0
Train	4	75%	1.90	19.3

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.

22.2%Headshot accuracy

40.3%Accuracy (enemy spotted)

37.8%Spray accuracy

84.6%Counter-strafing

10.6°Preaim

566msReaction time

48.0%T opening success

45.5%CT opening success

0.44Enemies flashed / flash

7.4%Flash assists

5.17HE damage / grenade

3.89Flashes / 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
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4411 — below the 0.5 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.

38% win rate across 8 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	13–5	0.13	15%	27 Aug →
cache	13–16	-0.01	24%	26 Aug →
ancient	13–10	0.02	26%	26 Aug →
cache	11–13	0.01	23%	26 Aug →
ancient	13–3	0.07	22%	26 Aug →
dust2	9–13	-0.01	24%	26 Aug →
dust2	6–13	-0.03	23%	26 Aug →
cache	13–9	-0.02	29%	26 Aug →
anubis	13–3	-0.02	13%	26 Aug →
inferno	11–13	-0.02	28%	26 Aug →
nuke	11–13	0.02	14%	26 Aug →
inferno	13–11	-0.00	22%	25 Aug →
dust2	10–13	-0.02	32%	25 Aug →
anubis	11–13	-0.04	25%	25 Aug →
ancient	13–10	0.07	18%	25 Aug →
nuke	13–9	0.00	11%	25 Aug →
ancient	13–3	0.00	17%	25 Aug →
anubis	10–13	-0.01	27%	24 Aug →
nuke	13–8	0.07	31%	24 Aug →
dust2	3–13	-0.01	25%	24 Aug →
anubis	6–13	-0.00	21%	24 Aug →
cache	15–15	0.05	16%	24 Aug →
dust2	5–13	-0.04	23%	24 Aug →
nuke	2–13	0.01	27%	24 Aug →
mirage	10–13	0.03	30%	24 Aug →
ancient	8–13	0.03	17%	24 Aug →
cache	13–4	-0.01	16%	23 Aug →
anubis	13–7	0.05	19%	23 Aug →
cache	13–6	0.06	21%	23 Aug →
dust2	13–11	0.01	24%	23 Aug →
nuke	13–16	-0.00	28%	23 Aug →
dust2	13–5	0.03	17%	23 Aug →
cache	13–8	-0.04	27%	23 Aug →
inferno	13–7	0.01	34%	23 Aug →
dust2	8–13	-0.01	25%	23 Aug →
poseidon	9–5	0.14	47%	19 Aug →
dust2	13–5	0.03	19%	17 Aug →
dust2	0–13	-0.03	25%	17 Aug →
dust2	13–8	0.04	30%	17 Aug →
ancient	13–6	0.00	29%	17 Aug →
cache	13–11	0.00	10%	7 Aug →
dust2	6–13	0.05	28%	6 Aug →
cache	14–16	-0.05	19%	1 Aug →
ancient	11–13	-0.01	14%	31 Jul →
inferno	13–6	0.05	18%	31 Jul →
ancient	13–11	0.04	20%	28 Jul →
inferno	13–2	0.03	22%	28 Jul →
cache	13–7	0.02	19%	28 Jul →
ancient	13–5	0.03	21%	26 Jul →
dust2	13–10	-0.00	19%	26 Jul →
dust2	13–11	0.01	20%	26 Jul →
mirage	8–13	0.00	41%	23 Jul →
ancient	6–13	-0.04	21%	23 Jul →
cache	13–11	0.00	18%	23 Jul →
anubis	13–9	-0.01	25%	23 Jul →
cache	16–13	-0.00	30%	23 Jul →
nuke	8–0	0.12	28%	22 Jul →
ancient	13–6	0.08	22%	22 Jul →
inferno	13–6	0.12	28%	22 Jul →
ancient	16–14	0.11	17%	22 Jul →
cache	13–1	0.07	40%	21 Jul →
inferno	7–13	-0.07	30%	21 Jul →
dust2	12–16	0.05	33%	21 Jul →
dust2	13–10	-0.01	21%	12 Jul →
dust2	15–15	0.13	15%	12 Jul →
dust2	13–1	0.09	27%	12 Jul →
ancient	14–16	0.01	18%	12 Jul →
anubis	16–12	0.12	30%	12 Jul →
cache	13–10	0.02	26%	12 Jul →
ancient	15–15	0.03	29%	12 Jul →
dust2	13–11	0.00	32%	8 Jul →
cache	10–13	0.03	22%	8 Jul →
cache	8–13	0.01	27%	1 Jul →
cache	4–13	0.04	25%	1 Jul →
inferno	8–8	0.03	31%	1 Jul →
anubis	11–13	-0.01	24%	28 Jun →
dust2	7–13	-0.00	37%	28 Jun →
inferno	4–13	-0.05	43%	27 Jun →
ancient	2–13	-0.03	22%	27 Jun →
inferno	13–8	0.05	16%	27 Jun →
anubis	13–9	0.04	26%	27 Jun →
dust2	9–13	0.02	24%	27 Jun →
nuke	10–13	-0.03	9%	18 Jun →
inferno	7–13	0.02	21%	18 Jun →
dust2	4–13	-0.03	25%	10 Jun →
dust2	13–7	0.08	28%	10 Jun →
cache	9–13	0.05	26%	10 Jun →
dust2	8–13	-0.06	24%	7 Jun →
ancient	10–13	-0.00	17%	1 Jun →
dust2	13–10	-0.02	16%	1 Jun →
ancient	5–13	-0.02	22%	25 May →
overpass	15–15	-0.02	15%	25 May →
ancient	5–13	0.03	19%	13 May →
dust2	13–10	0.07	26%	13 May →
cache	11–13	0.08	27%	13 May →
inferno	13–5	0.09	36%	13 May →
ancient	13–5	0.08	16%	13 May →
nuke	3–13	0.03	26%	13 May →
inferno	16–13	0.06	27%	8 May →
mirage	12–16	0.03	25%	8 May →