iba💯 — CS2 Stats

SE76561198161110321[U:1:200844593]Steam profile ↗✓ No bans

1,067Tracked matches63%Win rate2020Tracked since

3,076Hours in CS16Hrs last 2 wks

CSDB Rating7.7 StrongSupport

Premier CS Rating20,568Top 50% of 205,416 CSDB-tracked playersPink band · top ~7.9% of ranked players (population est.)

CSDB Leaderboard#73154 of 252584 tracked

WingmanSupreme Master First Class

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (24 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 20,568 → 20,568

0Faceit ELO · 1,825 → 1,825

+19Tracked matches · now 1,067

+13.3ppWin rate · 50.0% → 63.3%

Rating over time

Premier CS Rating: 20,568 -1,441 23 Jun – 23 Sept · 13 days played

Faceit ELO: 1,825 +0 30 Aug – 23 Sept · 6 observations

22,519Peak Premier in tracked matches

1,825Highest Faceit ELO seen on CSDB

39Days played since 2026-06-23

Faceit ELO

At peak — 1,825
0 over 30 days · steady
Next: Level 10 at 2,001 — 176 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6
Level 9 first seen 2026-08-30
Level 8 first seen 2026-08-30

Premier CS Rating

1,951 below peak (22,519)
0 over 30 days · steady
-1,441 over 90 days
Next: Red band at 25,000 — 4,432 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-30
Purple band first seen 2026-08-30

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.

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	36	—	—
Win rate	72%	—	—
K/D	1.08	—	—
Headshot %	50%	—	—

Measured 19 Sep 2026 → 17 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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	Red band median	vs Red band
Headshot rate	44.5%	46.9%	49.3%	4.7% short
Shot accuracy	14.2%	13.0%	13.4%	above
Kill/death ratio	1.12	1.08	1.12	meets
Match win rate	50.7%	46.7%	48.5%	above

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

Widest gap: Headshot rate. That is the metric furthest from the Red 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

Aim79

Positioning69

Utility69

0–100 skill scores via Leetify.

Recent form

HOT56–43–1Last 10056%Win rateLWWWWWWWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +2.0pp headshot accuracy · −28ms reaction

Win rate up 20pp 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

4–1 · 80% win rate
Avg rating -0.01
Avg headshot accuracy 19%
Avg reaction 580ms

Last 10

9–1 · 90% win rate
Avg rating 0.01
Avg headshot accuracy 19%
Avg reaction 573ms

Last 20

16–4 · 80% win rate
Avg rating 0.00
Avg headshot accuracy 18%
Avg reaction 586ms

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 (+1.8 against its own average).

Aim7.9

Utility6.9

Positioning6.9

Opening Duels4.0

Clutch2.8

Strong CT-side openerEffective flashes

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 ZywOo 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 63% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 578ms 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

Aim7.9

Positioning6.9

Utility6.9

Mechanics8.2

Opening Duels5.5

Win Impact9.4

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 rating0.00+0.00

first ⅓ avg -0.00 → last ⅓ avg 0.00

Reaction time577ms−94ms

first ⅓ avg 671ms → last ⅓ avg 577ms

Headshot accuracy19.3%−1.0%

first ⅓ avg 20.3% → last ⅓ avg 19.3%

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

0.14Best match rating · 13–8 · dust2, 24 Aug →

41%Best headshot accuracy · 13–3 · mirage, 6 Jul →

422msFastest reaction time · 4–13 · inferno, 13 Sept →

13–1Biggest win · dust2, 13 Sept →

Across the last 100 tracked matches.

Highlights

10Longest win streak

7–7In matches decided by ≤2 rounds

11Overtime games

Map breakdown

infernoBest map · 77% over 31ancientWeakest map · 40% over 15

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	31	24–7	77%	0.01
mirage	B	21	11–10	52%	-0.00
ancient	C	15	6–9	40%	0.02
dust2	S	13	9–4	69%	0.02
nuke	B	12	6–6	50%	-0.00
cache	—	4	0–4	0%	-0.04
anubis	—	2	0–2	0%	0.05
train	—	1	0–1	0%	-0.06
overpass	—	1	0–1	0%	0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

89,132Lifetime kills

1.12K/D · Top 50% of Pink band

4,046Matches

50.7%Match win rate · Top 25% of Pink band

44.5%Headshot %

14.2%Shot accuracy · Top 50% of Pink band

9,070MVPs

1,779Hours (in match)

4,818Bombs planted

1,170Bombs defused

Most-used weapons

AK-4734,413

M4A4 / M4A1-S22,433

AWP5,693

P2000 / USP-S4,785

P2502,953

Glock-182,579

Desert Eagle2,534

UMP-451,922

Galil AR1,579

FAMAS1,392

Lifetime map wins

11,571inferno

3,314dust2

3,177nuke

2,671train

1,914cbble

318vertigo

104safehouse

94lake

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

Faceit stats

Combat

476Matches

55%Win rate

1.11Avg K/D

80.9ADR

41%Headshot %

Clutches & streaks

34%1v1 clutch win

22%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	74	66%	1.18	16.6
Ancient	53	51%	1.01	15.8
Mirage	20	55%	1.24	18.0
Nuke	20	60%	1.38	16.4
Dust2	7	57%	1.37	18.7
Overpass	7	43%	1.08	15.7
Anubis	4	50%	1.30	23.5
Train	3	33%	0.80	15.3

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.

19.1%Headshot accuracy

35.8%Accuracy (enemy spotted)

35.8%Spray accuracy

87.0%Counter-strafing

9.2°Preaim

578msReaction time

40.9%T opening success

62.9%CT opening success

0.76Enemies flashed / flash

7.9%Flash assists

13.64HE damage / grenade

9.40Flashes / match

Recommended for you

Spend your practice time on Ancient

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

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
train	8–13	-0.06	8%	10 Oct →
nuke	10–3	-0.02	26%	10 Oct →
mirage	13–8	0.02	19%	10 Oct →
dust2	13–4	0.02	17%	8 Oct →
inferno	13–3	0.01	23%	8 Oct →
dust2	13–9	0.02	25%	8 Oct →
inferno	13–11	0.06	25%	7 Oct →
inferno	13–6	0.02	9%	7 Oct →
inferno	13–11	0.01	13%	4 Oct →
ancient	13–4	0.03	21%	4 Oct →
dust2	25–22	0.03	21%	4 Oct →
nuke	11–13	0.01	32%	4 Oct →
mirage	13–5	-0.07	4%	4 Oct →
inferno	13–7	0.01	28%	4 Oct →
inferno	13–6	-0.01	2%	3 Oct →
inferno	19–15	0.00	13%	29 Sept →
dust2	10–13	-0.01	25%	24 Sept →
dust2	13–6	0.06	12%	24 Sept →
ancient	13–11	-0.03	15%	20 Sept →
ancient	10–13	-0.02	14%	20 Sept →
anubis	17–19	0.03	11%	20 Sept →
inferno	13–7	0.04	25%	20 Sept →
mirage	11–13	-0.01	24%	20 Sept →
ancient	13–9	0.01	22%	20 Sept →
mirage	13–3	0.05	33%	20 Sept →
mirage	8–13	-0.03	38%	20 Sept →
inferno	10–13	-0.04	15%	15 Sept →
ancient	10–13	0.04	17%	14 Sept →
dust2	10–13	-0.01	17%	14 Sept →
inferno	4–13	-0.03	30%	13 Sept →
dust2	13–1	0.05	27%	13 Sept →
inferno	7–13	0.00	15%	12 Sept →
cache	7–13	-0.06	11%	11 Sept →
ancient	13–6	0.06	17%	11 Sept →
inferno	13–8	-0.00	29%	11 Sept →
inferno	16–14	0.06	16%	5 Sept →
nuke	7–13	-0.00	23%	5 Sept →
mirage	13–6	0.09	22%	31 Aug →
ancient	13–10	-0.00	15%	31 Aug →
ancient	9–13	0.06	17%	25 Aug →
inferno	13–8	-0.00	14%	25 Aug →
dust2	4–13	0.03	16%	25 Aug →
dust2	13–8	0.14	21%	24 Aug →
ancient	13–16	0.04	22%	24 Aug →
inferno	13–2	0.05	14%	21 Aug →
nuke	16–13	0.03	19%	20 Aug →
inferno	13–6	-0.01	20%	20 Aug →
inferno	6–13	-0.05	10%	20 Aug →
mirage	11–13	0.06	19%	19 Aug →
inferno	19–16	-0.01	13%	19 Aug →
mirage	13–8	0.04	35%	17 Aug →
inferno	13–7	0.02	30%	17 Aug →
inferno	8–13	0.08	23%	17 Aug →
dust2	13–11	-0.02	25%	16 Aug →
inferno	13–4	0.02	14%	16 Aug →
dust2	13–8	-0.05	11%	16 Aug →
ancient	15–15	-0.03	22%	16 Aug →
inferno	10–13	-0.02	11%	16 Aug →
mirage	8–13	0.03	28%	15 Aug →
inferno	13–7	0.03	22%	15 Aug →
inferno	13–11	0.03	20%	10 Aug →
ancient	13–7	0.04	19%	10 Aug →
nuke	4–13	-0.04	39%	10 Aug →
mirage	13–9	-0.02	11%	7 Aug →
nuke	13–5	0.01	15%	7 Aug →
mirage	9–13	-0.05	18%	7 Aug →
ancient	13–16	-0.01	18%	7 Aug →
nuke	13–8	-0.02	30%	5 Aug →
cache	5–13	0.02	38%	2 Aug →
mirage	7–13	-0.04	28%	2 Aug →
cache	5–13	-0.10	16%	23 Jul →
inferno	10–13	0.02	17%	22 Jul →
nuke	8–13	-0.00	20%	22 Jul →
mirage	5–13	-0.05	27%	22 Jul →
ancient	11–13	-0.01	15%	22 Jul →
cache	5–13	-0.02	24%	21 Jul →
nuke	13–11	0.01	19%	21 Jul →
mirage	13–7	-0.02	13%	21 Jul →
inferno	13–2	0.04	21%	21 Jul →
nuke	11–13	-0.03	28%	21 Jul →
mirage	3–13	-0.06	6%	21 Jul →
inferno	13–4	0.01	4%	21 Jul →
dust2	1–13	-0.00	27%	21 Jul →
mirage	13–10	0.03	14%	7 Jul →
mirage	13–3	0.09	41%	6 Jul →
nuke	13–4	0.01	20%	5 Jul →
mirage	13–3	0.05	21%	5 Jul →
mirage	7–13	-0.05	17%	2 Jul →
inferno	13–8	-0.01	21%	2 Jul →
anubis	11–13	0.07	17%	2 Jul →
overpass	6–13	0.06	24%	29 Jun →
mirage	13–6	0.04	19%	29 Jun →
inferno	13–6	0.01	20%	29 Jun →
dust2	16–12	-0.00	24%	29 Jun →
ancient	7–13	0.05	23%	29 Jun →
inferno	13–10	0.02	15%	28 Jun →
ancient	13–16	-0.01	26%	28 Jun →
mirage	9–13	-0.08	13%	27 Jun →
inferno	13–9	-0.01	5%	24 Jun →
nuke	8–13	-0.01	16%	23 Jun →