Ó Conghaile — CS2 Stats

EG76561198027763703[U:1:67497975]Steam profile ↗✓ No bans

2,724Tracked matches43%Win rate2020Tracked since

CSDB Rating5.7 SolidSupport

Premier CS Rating20,856Top 50% of 215,386 CSDB-tracked playersPink band · top ~7.6% of ranked players (population est.)

CSDB Leaderboard#72585 of 261569 tracked

FaceitLevel 8 · 1,885 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 20,856 → 20,856

0Faceit ELO · 1,885 → 1,885

+43Tracked matches · now 2,724

+6.7ppWin rate · 36.7% → 43.3%

Rating over time

Premier CS Rating: 20,856 +0 5 Sept – 4 Oct · 4 observations

Faceit ELO: 1,885 +0 5 Sept – 4 Oct · 4 observations

20,856Peak Premier on CSDB

1,885Highest Faceit ELO seen on CSDB

76Days played since 2026-04-11

Faceit ELO

At peak — 1,885
0 over 30 days · steady
Next: Level 10 at 2,001 — 116 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6
Level 9 first seen 2026-09-05
Level 8 first seen 2026-09-05

Premier CS Rating

At peak — 20,856
0 over 30 days · steady
Next: Red band at 25,000 — 4,144 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-09-05
Purple band first seen 2026-09-05

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

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Performance scores

Aim58

Positioning69

Utility81

0–100 skill scores via Leetify.

Recent form

STEADY41–58–1Last 10041%Win rateLWWLWWWLWL

Last 10 vs previous 10: +40pp win rate · +0.04 avg rating · +4.3pp headshot accuracy · −30ms reaction

Win rate up 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

3–2 · 60% win rate
Avg rating 0.03
Avg headshot accuracy 21%
Avg reaction 524ms

Last 10

6–4 · 60% win rate
Avg rating 0.02
Avg headshot accuracy 18%
Avg reaction 519ms

Last 20

8–12 · 40% win rate
Avg rating 0.00
Avg headshot accuracy 16%
Avg reaction 534ms

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: Support — Utility contribution stands above the rest of this profile (+2.8 against its own average).

Aim5.8

Utility8.1

Positioning6.9

Opening Duels2.9

Clutch3.4

Effective flashesHigh utility contribution

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 iM 63% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: higher 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

Flashes. 0.87 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 81 — grenade impact well above the norm.

Areas to improve

Counter-strafing. Only 70% 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

Aim5.8

Positioning6.9

Utility8.1

Mechanics4.4

Opening Duels2.8

Win Impact2.8

Composite 5.7/10 (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 rating0.00+0.00

first ⅓ avg -0.00 → last ⅓ avg 0.00

Reaction time538ms−59ms

first ⅓ avg 597ms → last ⅓ avg 538ms

Headshot accuracy15.9%−1.7%

first ⅓ avg 17.6% → last ⅓ avg 15.9%

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

0.12Best match rating · 13–6 · nuke, 8 Jul →

52%Best headshot accuracy · 12–12 · train, 26 Apr →

375msFastest reaction time · 13–8 · inferno, 18 Sept →

19–0Biggest win · nuke, 13 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak

7–11In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 60% over 20cacheWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	20	12–8	60%	0.01
inferno	C	19	8–11	42%	0.01
mirage	C	19	7–12	37%	0.01
dust2	D	16	4–12	25%	-0.00
cache	D	10	2–8	20%	0.00
anubis	A	7	4–3	57%	0.00
overpass	—	3	2–1	67%	-0.02
ancient	—	2	1–1	50%	-0.04
train	—	2	1–1	50%	-0.00
office	—	1	0–1	0%	0.03
vertigo	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Faceit stats

Combat

3,376Matches

50%Win rate

1.08Avg K/D

80.9ADR

42%Headshot %

Clutches & streaks

37%1v1 clutch win

24%1v2 clutch win

13Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	397	58%	1.09	16.3
Mirage	334	44%	1.09	15.3
Nuke	289	53%	1.15	17.3
Dust2	285	47%	1.04	15.7
Ancient	103	42%	1.05	15.8
Train	99	55%	1.16	17.7
Anubis	84	42%	1.03	16.1
Overpass	70	50%	1.08	16.5

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.

15.4%Headshot accuracy

32.8%Accuracy (enemy spotted)

41.0%Spray accuracy

69.6%Counter-strafing

11.4°Preaim

538msReaction time

46.1%T opening success

36.6%CT opening success

0.87Enemies flashed / flash

11.6%Flash assists

11.35HE damage / grenade

13.04Flashes / 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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 36.5888% — below the 40% mark we flag

Spend your practice time on Cache

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–16	0.03	21%	8 Nov →
inferno	13–6	0.04	16%	6 Nov →
cache	13–3	0.07	41%	4 Nov →
cache	8–13	-0.00	13%	3 Nov →
cache	13–9	0.03	13%	2 Nov →
nuke	13–8	0.01	15%	30 Oct →
mirage	13–3	0.08	11%	24 Oct →
inferno	9–13	0.02	19%	24 Oct →
nuke	22–20	0.02	13%	22 Oct →
ancient	3–13	-0.06	18%	17 Oct →
cache	11–13	-0.07	6%	17 Oct →
dust2	9–13	-0.05	15%	15 Oct →
nuke	13–11	0.01	13%	13 Oct →
dust2	3–13	0.05	17%	11 Oct →
inferno	8–13	-0.02	20%	10 Oct →
nuke	9–13	-0.04	14%	5 Oct →
cache	10–13	-0.02	10%	4 Oct →
mirage	11–13	0.00	17%	3 Oct →
cache	9–13	0.01	8%	28 Sept →
inferno	13–10	-0.00	16%	24 Sept →
nuke	9–13	0.00	18%	19 Sept →
nuke	9–13	-0.03	21%	19 Sept →
inferno	13–8	0.02	12%	18 Sept →
inferno	13–6	0.03	10%	13 Sept →
nuke	19–0	0.01	14%	13 Sept →
anubis	13–8	-0.00	16%	12 Sept →
cache	9–13	-0.01	9%	7 Sept →
nuke	13–8	0.11	16%	30 Aug →
dust2	11–13	-0.01	23%	29 Aug →
inferno	4–13	0.01	14%	29 Aug →
nuke	8–13	-0.05	14%	26 Aug →
inferno	11–13	-0.03	25%	23 Aug →
inferno	16–19	-0.02	18%	22 Aug →
inferno	12–16	0.03	18%	22 Aug →
inferno	13–11	-0.02	16%	20 Aug →
mirage	10–13	0.00	14%	18 Aug →
dust2	5–13	-0.03	21%	18 Aug →
mirage	13–4	0.08	13%	17 Aug →
anubis	14–16	-0.04	13%	17 Aug →
mirage	13–7	0.08	17%	17 Aug →
nuke	13–9	0.06	24%	12 Aug →
inferno	9–13	0.01	22%	5 Aug →
dust2	13–10	0.06	23%	4 Aug →
nuke	5–13	-0.06	21%	2 Aug →
mirage	9–13	0.02	24%	26 Jul →
mirage	13–8	0.08	23%	22 Jul →
mirage	10–13	0.05	19%	21 Jul →
mirage	4–13	-0.09	18%	20 Jul →
nuke	7–13	0.01	11%	18 Jul →
dust2	11–13	0.03	19%	15 Jul →
cache	9–13	-0.03	26%	11 Jul →
nuke	13–6	0.12	13%	8 Jul →
inferno	11–13	0.03	12%	6 Jul →
mirage	5–13	-0.10	7%	6 Jul →
dust2	10–13	0.03	12%	5 Jul →
nuke	13–11	0.06	14%	29 Jun →
anubis	13–8	0.08	16%	27 Jun →
mirage	16–13	-0.07	15%	21 Jun →
nuke	11–13	0.02	16%	20 Jun →
nuke	13–11	-0.01	16%	17 Jun →
anubis	10–13	-0.04	15%	17 Jun →
dust2	13–11	0.03	21%	13 Jun →
overpass	19–16	-0.01	19%	7 Jun →
dust2	14–16	-0.03	12%	7 Jun →
anubis	6–13	0.01	21%	6 Jun →
dust2	10–13	-0.08	20%	6 Jun →
dust2	13–6	0.03	22%	27 May →
inferno	13–6	-0.00	14%	26 May →
anubis	13–11	0.03	17%	25 May →
inferno	13–10	-0.03	14%	25 May →
nuke	25–22	-0.02	10%	24 May →
nuke	13–9	0.03	11%	23 May →
dust2	5–13	-0.03	6%	23 May →
dust2	8–13	0.01	20%	22 May →
ancient	13–7	-0.01	8%	20 May →
cache	9–13	0.07	12%	17 May →
nuke	13–6	0.01	21%	17 May →
mirage	6–13	-0.04	16%	17 May →
office	5–13	0.03	23%	13 May →
train	13–8	-0.03	12%	13 May →
mirage	13–9	-0.02	9%	10 May →
overpass	5–13	-0.01	27%	10 May →
dust2	13–8	0.05	24%	10 May →
inferno	10–13	0.00	24%	4 May →
mirage	13–9	0.09	19%	3 May →
inferno	13–4	0.04	18%	3 May →
inferno	14–16	-0.02	14%	2 May →
cache	4–13	-0.02	15%	1 May →
train	12–12	0.02	52%	26 Apr →
mirage	7–13	0.05	24%	26 Apr →
mirage	8–13	-0.02	21%	25 Apr →
overpass	13–10	-0.04	10%	24 Apr →
mirage	10–13	-0.03	15%	20 Apr →
mirage	9–13	-0.05	16%	20 Apr →
mirage	4–13	0.02	29%	19 Apr →
dust2	1–13	-0.02	8%	19 Apr →
anubis	13–6	-0.03	11%	14 Apr →
nuke	5–9	0.01	19%	13 Apr →
dust2	9–13	-0.04	17%	12 Apr →
vertigo	11–13	-0.01	24%	11 Apr →