𝑰𝒏𝒈𝒐 — CS2 Stats

IS76561199838283214[U:1:1878017486]Steam profile ↗✓ No bans

495Tracked matches47%Win rate2025Tracked since

1,090Hours in CS2Hrs last 2 wks

CSDB Rating5.1 DevelopingAll-Rounder

Premier CS Rating12,678Blue band · top ~40.7% of ranked players (population est.)

CSDB Leaderboard#171034 of 261537 tracked

FaceitLevel 5 · 740 ELOTop 67.6% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 12,678 -708 20 Apr – 3 Nov · 29 days played

Faceit ELO: 740 +0 2 Sept – 10 Sept · 2 observations

14,236Peak Premier in tracked matches

740Highest Faceit ELO seen on CSDB

40Days played since 2026-04-20

Faceit ELO

At peak — 740
Next: Level 3 at 751 — 11 to go
Reached: Level 2
Level 2 first seen 2026-09-02

Premier CS Rating

1,465 below peak (14,143)
Next: Purple band at 15,000 — 2,322 to go
Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 5 median	Level 6 median	vs Level 6
Headshot rate	35.6%	43.8%	44.8%	9.2% short
Shot accuracy	0.0%	12.0%	12.4%	12.4% short
Kill/death ratio	1.02	1.02	1.03	meets
Match win rate	47.8%	44.7%	45.2%	above

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim52

Positioning54

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateWWWLWLLLLW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +2.7pp headshot accuracy · −71ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating 0.05
Avg headshot accuracy 9%
Avg reaction 619ms

Last 10

5–5 · 50% win rate
Avg rating 0.02
Avg headshot accuracy 12%
Avg reaction 657ms

Last 20

9–10–1 · 45% win rate
Avg rating 0.02
Avg headshot accuracy 11%
Avg reaction 693ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.2

Utility5.4

Positioning5.4

Opening Duels4.5

Clutch3.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like jL 83% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 665ms 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

Aim5.2

Positioning5.4

Utility5.4

Mechanics7.2

Opening Duels4.5

Win Impact3.9

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time654ms+8ms

first ⅓ avg 646ms → last ⅓ avg 654ms

Headshot accuracy10.9%−5.8%

first ⅓ avg 16.7% → last ⅓ avg 10.9%

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.

Personal bests

0.17Best match rating · 13–5 · nuke, 3 Nov →

36%Best headshot accuracy · 13–0 · ancient, 17 Jun →

336msFastest reaction time · 7–13 · inferno, 21 May →

13–0Biggest win · mirage, 17 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak

W3Current streak

10–10In matches decided by ≤2 rounds

17Overtime games

Map breakdown

nukeBest map · 80% over 25mirageWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	25	20–5	80%	0.03
dust2	B	23	11–12	48%	0.01
ancient	C	12	5–7	42%	0.01
inferno	D	12	4–8	33%	0.00
anubis	B	11	5–6	45%	0.01
mirage	D	10	3–7	30%	0.01
overpass	—	4	2–2	50%	0.01
cache	—	3	0–3	0%	0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (30% over 10). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,967Lifetime kills

1.02K/D · Top 50% of Level 5 players

1,378Matches

47.8%Match win rate · Top 25% of Level 5 players

35.6%Headshot %

0.0%Shot accuracy

3,709MVPs

410Hours (in match)

1,047Bombs planted

492Bombs defused

Most-used weapons

AK-475,498

AWP4,946

M4A4 / M4A1-S3,049

P2000 / USP-S1,243

Glock-181,063

Desert Eagle821

Galil AR609

XM1014509

SSG 08375

MP7368

Lifetime map wins

3,479dust2

1,853inferno

1,556nuke

391vertigo

41train

21office

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

Faceit stats

Combat

133Matches

46%Win rate

1.25Avg K/D

86.2ADR

35%Headshot %

Clutches & streaks

38%1v1 clutch win

34%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	39	41%	1.23	17.6
Dust2	34	62%	1.39	18.8
Ancient	17	35%	1.29	18.9
Anubis	15	53%	1.06	18.3
Inferno	13	46%	1.13	17.5
Nuke	11	27%	1.39	15.7
Overpass	3	33%	0.87	16.0
Cache	1	0%	0.62	8.0

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.

10.9%Headshot accuracy

37.6%Accuracy (enemy spotted)

36.7%Spray accuracy

82.3%Counter-strafing

12.0°Preaim

665msReaction time

41.1%T opening success

54.5%CT opening success

0.67Enemies flashed / flash

5.3%Flash assists

9.22HE damage / grenade

9.37Flashes / 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 12.0459° — above the 12° mark we flag
Aim Training →
Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 10.9032% — below the 15% mark we flag
Aim Training →

Spend your practice time on Mirage

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–5	0.12	13%	3 Nov →
nuke	13–5	0.17	9%	3 Nov →
nuke	13–10	-0.02	9%	2 Nov →
dust2	12–16	-0.02	9%	3 Sept →
ancient	13–9	-0.01	8%	3 Sept →
dust2	6–13	-0.03	35%	25 Aug →
mirage	6–13	-0.02	9%	25 Aug →
mirage	10–13	-0.00	11%	2 Aug →
cache	13–16	0.02	11%	2 Aug →
nuke	13–6	0.05	10%	1 Aug →
nuke	13–10	0.02	14%	1 Aug →
nuke	11–13	0.04	13%	1 Aug →
nuke	13–2	0.15	13%	1 Aug →
anubis	7–13	-0.00	11%	18 Jul →
nuke	13–8	-0.03	5%	18 Jul →
cache	11–13	0.02	8%	17 Jul →
inferno	13–4	0.01	8%	17 Jul →
inferno	8–8	0.07	14%	17 Jul →
cache	4–13	-0.02	3%	15 Jul →
mirage	12–16	-0.05	7%	3 Jul →
dust2	7–13	-0.00	17%	2 Jul →
nuke	16–14	0.07	12%	2 Jul →
ancient	13–7	0.05	8%	30 Jun →
dust2	11–13	0.02	8%	30 Jun →
nuke	13–10	-0.03	8%	30 Jun →
dust2	16–12	0.06	20%	28 Jun →
inferno	11–13	-0.06	5%	28 Jun →
ancient	13–16	0.02	8%	28 Jun →
dust2	6–13	-0.01	10%	27 Jun →
anubis	13–7	-0.00	15%	27 Jun →
mirage	6–13	0.04	17%	27 Jun →
nuke	13–8	0.05	3%	27 Jun →
dust2	16–14	0.03	14%	26 Jun →
ancient	13–16	-0.02	13%	26 Jun →
nuke	10–13	-0.08	11%	26 Jun →
nuke	5–13	0.03	22%	22 Jun →
mirage	13–0	0.04	0%	17 Jun →
ancient	13–0	0.01	36%	17 Jun →
anubis	13–3	0.08	18%	16 Jun →
dust2	3–13	-0.00	17%	16 Jun →
anubis	13–2	0.10	8%	16 Jun →
dust2	13–10	-0.00	13%	15 Jun →
nuke	13–9	-0.02	13%	15 Jun →
nuke	13–10	-0.02	11%	15 Jun →
dust2	14–16	-0.01	21%	13 Jun →
nuke	13–7	0.03	12%	13 Jun →
overpass	13–8	0.01	11%	13 Jun →
ancient	9–13	0.02	19%	12 Jun →
nuke	10–13	-0.06	7%	12 Jun →
nuke	15–15	0.08	18%	12 Jun →
mirage	13–11	0.02	13%	9 Jun →
dust2	4–13	-0.04	28%	9 Jun →
nuke	13–11	0.02	22%	9 Jun →
ancient	13–11	0.04	15%	5 Jun →
dust2	13–4	0.01	15%	5 Jun →
anubis	2–13	-0.06	13%	5 Jun →
inferno	6–13	0.00	22%	5 Jun →
dust2	16–14	0.02	13%	2 Jun →
nuke	13–9	-0.05	13%	2 Jun →
dust2	9–13	0.11	18%	2 Jun →
inferno	5–13	-0.07	13%	2 Jun →
ancient	13–10	0.10	32%	22 May →
overpass	6–13	0.01	24%	22 May →
anubis	17–19	-0.01	7%	22 May →
inferno	7–13	-0.02	9%	21 May →
mirage	11–13	-0.03	15%	20 May →
dust2	6–13	-0.05	15%	17 May →
inferno	13–9	0.03	21%	17 May →
dust2	13–11	0.02	27%	17 May →
inferno	16–19	0.01	23%	10 May →
anubis	10–13	-0.02	18%	10 May →
mirage	7–13	-0.02	14%	8 May →
overpass	11–13	-0.02	11%	7 May →
anubis	13–11	0.00	14%	5 May →
dust2	13–11	0.01	13%	3 May →
dust2	13–7	0.01	17%	3 May →
inferno	13–4	-0.02	12%	3 May →
mirage	7–13	-0.02	21%	1 May →
ancient	9–13	0.04	10%	1 May →
dust2	15–15	0.02	21%	1 May →
anubis	13–8	-0.02	24%	28 Apr →
ancient	10–13	-0.03	10%	28 Apr →
inferno	13–11	0.01	8%	28 Apr →
nuke	13–1	0.02	21%	27 Apr →
nuke	13–5	0.10	26%	27 Apr →
nuke	13–9	0.00	14%	27 Apr →
dust2	13–5	0.04	18%	27 Apr →
nuke	13–9	0.05	30%	26 Apr →
ancient	3–13	-0.03	18%	26 Apr →
anubis	14–16	0.05	11%	26 Apr →
overpass	13–10	0.04	6%	25 Apr →
inferno	8–13	0.00	11%	25 Apr →
nuke	13–8	0.11	14%	25 Apr →
nuke	13–4	0.10	10%	25 Apr →
dust2	16–13	0.02	33%	24 Apr →
anubis	10–13	-0.04	4%	24 Apr →
dust2	4–13	-0.06	35%	24 Apr →
ancient	17–19	-0.01	20%	24 Apr →
inferno	10–13	0.04	9%	20 Apr →
dust2	8–0	0.10	8%	20 Apr →