[PN] IrrLichT — CS2 Stats

CX76561199367649556[U:1:1407383828]Steam profile ↗community banned

1,818Tracked matches36%Win rate2024Tracked since

7,220Hours in CS53Hrs last 2 wks

CSDB Rating5.2 DevelopingAll-Rounder

Premier CS Rating15,300Purple band · top ~27.2% of ranked players (population est.)

CSDB Leaderboard#143591 of 258871 tracked

WingmanMaster Guardian I

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+300Premier CS Rating · 15,000 → 15,300

Rating over time

Premier CS Rating: 15,300 -536 20 Sept – 30 Oct · 23 days played

18,909Peak Premier in tracked matches

23Days played since 2026-09-20

Premier CS Rating

3,235 below peak (18,535)
+199 over 30 days · steady
Next: Pink band at 20,000 — 4,700 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-20
Blue band first seen 2026-09-20

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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	Purple band median	Pink band median	vs Pink band
Headshot rate	48.3%	44.4%	46.9%	above
Shot accuracy	0.0%	11.9%	13.0%	13.0% short
Kill/death ratio	1.07	1.03	1.08	meets
Match win rate	46.5%	45.2%	46.7%	meets

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

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

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Performance scores

Aim59

Positioning64

Utility56

0–100 skill scores via Leetify.

Recent form

COLD47–48–5Last 10047%Win rateWLLLLLLLLW

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · −5.2pp headshot accuracy · +13ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

1–4 · 20% win rate
Avg rating 0.01
Avg headshot accuracy 12%
Avg reaction 634ms

Last 10

2–8 · 20% win rate
Avg rating 0.00
Avg headshot accuracy 14%
Avg reaction 621ms

Last 20

8–11–1 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 16%
Avg reaction 615ms

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.

Aim5.9

Utility5.6

Positioning6.4

Opening Duels4.9

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 Twistzz 78% playstyle similarity

Most alike: positioning profile, 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

Strengths

T openings. 65% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 65% on T to 42% on CT — first contacts on the defending side are being lost.

Reaction time. 618ms 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

Aim5.9

Positioning6.4

Utility5.6

Mechanics4.5

Opening Duels5.8

Win Impact0.2

Composite 5.2/10 (Developing), 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 rating0.02+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time606ms+12ms

first ⅓ avg 594ms → last ⅓ avg 606ms

Headshot accuracy16.8%+0.4%

first ⅓ avg 16.4% → last ⅓ avg 16.8%

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

0.16Best match rating · 13–7 · cache, 23 Oct →

37%Best headshot accuracy · 9–13 · inferno, 24 Oct →

406msFastest reaction time · 3–13 · inferno, 21 Oct →

13–2Biggest win · inferno, 21 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak

12–10In matches decided by ≤2 rounds

15Overtime games

Map breakdown

dust2Best map · 67% over 15anubisWeakest map · 21% over 14

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	18	10–8	56%	0.02
inferno	C	18	8–10	44%	0.03
cache	C	16	7–9	44%	0.01
dust2	S	15	10–5	67%	0.01
anubis	D	14	3–11	21%	0.00
mirage	C	13	5–8	38%	-0.00
ancient	—	4	4–0	100%	0.03
overpass	—	1	0–1	0%	0.05
boulder	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,825Lifetime kills

1.07K/D · Top 50% of Purple band

2,292Matches

46.5%Match win rate · Top 50% of Purple band

48.3%Headshot % · Top 50% of Purple band

0.0%Shot accuracy

5,580MVPs

888Hours (in match)

2,960Bombs planted

553Bombs defused

Most-used weapons

AK-4712,610

M4A4 / M4A1-S5,488

XM10142,413

AWP2,305

Glock-182,181

P2000 / USP-S1,804

P901,721

MAC-101,605

Desert Eagle1,497

MP91,260

Lifetime map wins

5,637inferno

3,425nuke

2,500dust2

1,251vertigo

547train

300office

104italy

2ar_shoots

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

Faceit stats

Combat

2Matches

100%Win rate

1.03Avg K/D

—ADR

50%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

2Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	1	100%	1.06	18.0
Mirage	1	100%	1.00	14.0

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.

17.0%Headshot accuracy

34.7%Accuracy (enemy spotted)

40.9%Spray accuracy

70.1%Counter-strafing

10.6°Preaim

618msReaction time

64.6%T opening success

42.0%CT opening success

0.55Enemies flashed / flash

4.3%Flash assists

10.00HE damage / grenade

8.56Flashes / match

Recommended for you

Spend your practice time on Anubis

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

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–10	0.13	19%	30 Oct →
nuke	6–13	-0.07	12%	29 Oct →
nuke	10–13	-0.04	5%	29 Oct →
mirage	11–13	0.06	12%	27 Oct →
dust2	11–13	-0.01	14%	27 Oct →
mirage	5–13	0.01	15%	27 Oct →
cache	6–13	0.01	14%	24 Oct →
anubis	5–13	0.03	17%	24 Oct →
inferno	3–13	-0.08	14%	24 Oct →
dust2	13–10	-0.03	17%	24 Oct →
inferno	9–13	0.02	37%	24 Oct →
cache	13–10	0.09	18%	24 Oct →
nuke	15–15	0.01	11%	24 Oct →
dust2	13–8	0.10	17%	24 Oct →
anubis	13–9	0.05	21%	23 Oct →
inferno	13–11	-0.00	17%	23 Oct →
ancient	13–7	0.02	14%	23 Oct →
nuke	13–7	0.04	26%	23 Oct →
cache	8–13	-0.06	13%	23 Oct →
inferno	11–13	-0.00	17%	23 Oct →
anubis	10–13	0.14	16%	23 Oct →
dust2	15–15	0.01	17%	23 Oct →
cache	13–7	0.16	24%	23 Oct →
dust2	8–13	0.02	20%	23 Oct →
cache	10–13	-0.03	15%	22 Oct →
mirage	13–6	-0.01	19%	22 Oct →
nuke	11–13	-0.03	6%	22 Oct →
mirage	7–13	-0.06	36%	22 Oct →
mirage	14–16	0.03	19%	22 Oct →
inferno	4–13	-0.02	12%	22 Oct →
nuke	16–13	0.06	6%	21 Oct →
cache	14–16	-0.01	14%	21 Oct →
inferno	3–13	-0.01	21%	21 Oct →
inferno	13–2	0.07	13%	21 Oct →
cache	13–3	0.05	33%	20 Oct →
dust2	13–10	0.03	16%	20 Oct →
inferno	9–13	0.02	11%	20 Oct →
nuke	13–10	0.05	18%	20 Oct →
ancient	13–11	0.02	13%	20 Oct →
mirage	13–10	-0.03	17%	20 Oct →
inferno	16–14	0.07	13%	19 Oct →
dust2	8–13	-0.05	23%	19 Oct →
inferno	13–10	0.01	20%	19 Oct →
cache	13–5	0.03	14%	19 Oct →
nuke	13–10	0.00	11%	19 Oct →
anubis	8–13	-0.04	10%	19 Oct →
anubis	7–13	-0.02	19%	18 Oct →
anubis	7–13	-0.05	25%	18 Oct →
dust2	13–11	-0.02	13%	18 Oct →
nuke	9–13	0.07	14%	18 Oct →
anubis	13–5	0.02	22%	18 Oct →
cache	7–13	0.01	17%	18 Oct →
inferno	11–13	0.03	14%	17 Oct →
inferno	13–7	0.10	16%	17 Oct →
mirage	16–14	0.08	13%	17 Oct →
cache	3–13	-0.10	11%	17 Oct →
mirage	7–13	-0.07	6%	17 Oct →
nuke	13–9	-0.04	15%	17 Oct →
nuke	13–9	0.04	21%	17 Oct →
nuke	13–8	0.03	8%	17 Oct →
nuke	10–13	0.11	29%	16 Oct →
dust2	13–11	-0.00	26%	16 Oct →
ancient	13–8	0.05	9%	16 Oct →
cache	4–13	-0.08	11%	16 Oct →
cache	7–13	-0.05	21%	16 Oct →
dust2	9–13	0.03	22%	16 Oct →
inferno	16–13	0.06	16%	14 Oct →
mirage	10–13	-0.04	26%	13 Oct →
cache	13–9	-0.04	20%	13 Oct →
anubis	2–13	-0.06	10%	13 Oct →
anubis	15–15	-0.00	18%	12 Oct →
anubis	13–16	-0.05	13%	12 Oct →
inferno	15–15	0.01	16%	12 Oct →
dust2	13–11	-0.04	21%	12 Oct →
anubis	6–13	-0.04	19%	11 Oct →
inferno	13–8	0.00	20%	11 Oct →
mirage	8–13	-0.05	18%	11 Oct →
nuke	5–13	0.10	11%	11 Oct →
anubis	13–7	0.06	15%	11 Oct →
nuke	2–13	0.00	13%	11 Oct →
dust2	13–7	0.07	13%	11 Oct →
anubis	9–13	0.05	20%	10 Oct →
cache	11–13	-0.01	14%	10 Oct →
ancient	13–7	0.03	19%	9 Oct →
cache	13–9	0.01	23%	9 Oct →
nuke	16–14	-0.03	27%	9 Oct →
cache	13–7	0.11	14%	7 Oct →
dust2	16–14	0.02	22%	5 Oct →
dust2	13–11	0.05	20%	4 Oct →
nuke	13–11	0.04	16%	3 Oct →
inferno	15–15	0.02	16%	3 Oct →
nuke	13–7	0.05	15%	3 Oct →
anubis	12–16	-0.03	6%	3 Oct →
mirage	13–4	-0.02	14%	3 Oct →
inferno	11–13	0.10	11%	3 Oct →
inferno	13–9	0.06	11%	3 Oct →
dust2	13–11	0.05	18%	3 Oct →
mirage	2–13	-0.04	26%	2 Oct →
overpass	11–13	0.05	8%	2 Oct →
boulder	5–13	0.03	9%	2 Oct →