Ohzora — CS2 Stats

76561197988332535[U:1:28066807]Steam profile ↗✓ No bans

8,084Tracked matches57%Win rate2020Tracked since

CSDB Rating6.4 SolidPositional Player

Premier CS Rating21,207Top 50% of 213,211 CSDB-tracked playersPink band · top ~7.2% of ranked players (population est.)

CSDB Leaderboard#67296 of 259899 tracked

FaceitLevel 8 · 1,851 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

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

+310Premier CS Rating · 20,897 → 21,207

Rating over time

Premier CS Rating: 21,207 +2,708 26 Aug – 4 Nov · 22 days played

Faceit ELO: 1,851 +0 1 Sept – 23 Oct · 3 observations

21,548Peak Premier in tracked matches

1,851Highest Faceit ELO seen on CSDB

29Days played since 2026-08-26

Faceit ELO

At peak — 1,851
Next: Level 10 at 2,001 — 150 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6
Level 9 first seen 2026-09-01
Level 8 first seen 2026-09-01

Premier CS Rating

At peak — 21,207
Next: Red band at 25,000 — 3,793 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-01
Blue band first seen 2026-09-01

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.

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Performance scores

Aim61

Positioning65

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY61–39Last 10061%Win rateWWWLLLLWLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −9.8pp headshot accuracy · −16ms reaction

Win rate down 30pp 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 -0.02
Avg headshot accuracy 17%
Avg reaction 581ms

Last 10

4–6 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 20%
Avg reaction 561ms

Last 20

11–9 · 55% win rate
Avg rating -0.01
Avg headshot accuracy 24%
Avg reaction 569ms

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: Positional Player — Positioning stands above the rest of this profile (+1.1 against its own average).

Aim6.1

Utility6.2

Positioning6.5

Opening Duels5.9

Clutch2.8

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 device 80% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

T openings. 64% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 589ms 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

Aim6.1

Positioning6.5

Utility6.2

Mechanics5.4

Opening Duels7.3

Win Impact7.2

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 rating-0.01+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time589ms−39ms

first ⅓ avg 628ms → last ⅓ avg 589ms

Headshot accuracy23.4%+0.7%

first ⅓ avg 22.7% → last ⅓ avg 23.4%

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

0.10Best match rating · 13–2 · dust2, 26 Sept →

50%Best headshot accuracy · 0–4 · dust2, 13 Sept →

430msFastest reaction time · 7–13 · inferno, 17 Oct →

19–1Biggest win · nuke, 15 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak

W3Current streak

12–10In matches decided by ≤2 rounds

15Overtime games

Map breakdown

nukeBest map · 80% over 10infernoWeakest map · 44% over 18

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	26	15–11	58%	-0.00
inferno	C	18	8–10	44%	-0.02
anubis	A	18	10–8	56%	0.00
ancient	S	15	11–4	73%	-0.01
nuke	S	10	8–2	80%	-0.01
cache	S	8	6–2	75%	0.00
mirage	A	5	3–2	60%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5,103Matches

49%Win rate

1.02Avg K/D

77.5ADR

48%Headshot %

Clutches & streaks

34%1v1 clutch win

18%1v2 clutch win

12Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	1026	51%	1.05	15.0
Mirage	968	43%	0.96	14.6
Ancient	696	45%	0.96	14.9
Inferno	579	52%	1.08	15.4
Anubis	515	52%	1.04	15.1
Nuke	316	54%	1.16	16.0
Overpass	133	44%	0.94	14.2
Train	118	51%	1.04	15.8

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.

23.3%Headshot accuracy

32.2%Accuracy (enemy spotted)

30.4%Spray accuracy

74.2%Counter-strafing

10.5°Preaim

589msReaction time

63.8%T opening success

54.8%CT opening success

0.65Enemies flashed / flash

11.7%Flash assists

8.88HE damage / grenade

9.65Flashes / match

Recommended for you

Spend your practice time on Inferno

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

44% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–11	-0.03	15%	4 Nov →
anubis	13–11	-0.02	27%	3 Nov →
dust2	13–6	-0.03	10%	3 Nov →
anubis	10–13	0.01	14%	3 Nov →
nuke	11–13	-0.01	17%	2 Nov →
ancient	6–13	-0.00	19%	31 Oct →
inferno	6–13	-0.07	18%	31 Oct →
dust2	13–11	0.04	26%	31 Oct →
dust2	7–13	-0.04	26%	30 Oct →
anubis	11–13	-0.01	23%	30 Oct →
dust2	13–4	-0.04	45%	30 Oct →
cache	13–7	-0.07	31%	29 Oct →
anubis	13–11	0.04	23%	28 Oct →
inferno	13–8	-0.02	16%	28 Oct →
inferno	11–13	-0.01	31%	28 Oct →
mirage	13–5	0.07	22%	28 Oct →
ancient	13–6	0.03	32%	28 Oct →
inferno	6–13	-0.00	37%	28 Oct →
dust2	13–9	0.00	31%	28 Oct →
inferno	8–13	-0.06	25%	22 Oct →
cache	16–14	-0.00	27%	21 Oct →
inferno	14–16	-0.11	15%	21 Oct →
dust2	13–9	-0.05	25%	21 Oct →
nuke	13–7	0.03	19%	21 Oct →
anubis	13–4	0.05	11%	18 Oct →
inferno	7–13	-0.02	29%	17 Oct →
ancient	9–13	-0.02	15%	17 Oct →
dust2	8–13	-0.02	21%	15 Oct →
nuke	19–1	-0.00	29%	15 Oct →
dust2	13–2	0.10	28%	26 Sept →
ancient	2–13	-0.04	25%	26 Sept →
dust2	13–7	0.06	21%	26 Sept →
ancient	13–5	0.04	20%	26 Sept →
mirage	13–4	0.06	26%	26 Sept →
mirage	13–10	-0.04	20%	25 Sept →
anubis	13–11	-0.04	23%	25 Sept →
nuke	13–9	-0.02	19%	25 Sept →
inferno	22–18	0.05	20%	25 Sept →
dust2	13–3	-0.00	20%	25 Sept →
inferno	10–13	0.00	17%	25 Sept →
nuke	13–8	0.01	17%	21 Sept →
mirage	8–13	-0.05	4%	20 Sept →
dust2	16–13	-0.03	19%	20 Sept →
dust2	13–4	0.01	32%	20 Sept →
dust2	19–15	0.03	23%	20 Sept →
anubis	8–13	-0.02	23%	20 Sept →
ancient	13–11	0.06	20%	20 Sept →
anubis	16–19	-0.03	19%	19 Sept →
dust2	8–13	-0.03	21%	19 Sept →
ancient	13–9	0.05	22%	19 Sept →
nuke	13–8	-0.04	21%	19 Sept →
dust2	14–16	0.01	31%	19 Sept →
dust2	1–13	-0.06	30%	19 Sept →
anubis	10–13	-0.01	17%	18 Sept →
nuke	13–1	0.00	22%	18 Sept →
anubis	13–9	0.02	16%	18 Sept →
dust2	13–5	0.04	28%	17 Sept →
dust2	13–7	-0.01	12%	17 Sept →
anubis	11–13	0.04	13%	17 Sept →
dust2	10–13	-0.08	22%	17 Sept →
ancient	13–10	-0.05	11%	17 Sept →
inferno	13–9	-0.04	17%	17 Sept →
inferno	13–9	0.03	11%	17 Sept →
anubis	13–5	0.08	19%	16 Sept →
cache	5–13	0.02	30%	16 Sept →
ancient	16–14	-0.06	14%	16 Sept →
ancient	11–13	-0.03	15%	14 Sept →
ancient	16–14	-0.03	14%	14 Sept →
inferno	16–14	0.02	22%	14 Sept →
dust2	13–9	-0.02	23%	14 Sept →
dust2	0–4	0.01	50%	13 Sept →
ancient	13–11	0.01	21%	13 Sept →
inferno	13–10	0.00	19%	13 Sept →
anubis	13–4	-0.08	13%	13 Sept →
cache	13–5	-0.04	24%	13 Sept →
ancient	16–14	-0.04	12%	6 Sept →
nuke	13–4	-0.02	27%	6 Sept →
inferno	14–16	-0.00	26%	6 Sept →
anubis	13–9	0.03	30%	6 Sept →
cache	13–4	0.01	16%	6 Sept →
cache	3–13	0.07	16%	6 Sept →
anubis	8–13	-0.03	18%	5 Sept →
cache	13–5	0.01	33%	5 Sept →
dust2	10–13	-0.02	32%	4 Sept →
nuke	13–8	-0.02	23%	4 Sept →
ancient	13–3	-0.02	23%	4 Sept →
mirage	2–5	0.02	20%	2 Sept →
anubis	13–9	-0.03	20%	2 Sept →
inferno	13–5	0.04	18%	2 Sept →
dust2	10–13	-0.06	24%	2 Sept →
nuke	6–13	-0.06	20%	1 Sept →
anubis	13–6	0.06	37%	31 Aug →
dust2	11–13	0.01	18%	31 Aug →
dust2	7–13	0.01	17%	31 Aug →
cache	13–6	0.04	18%	31 Aug →
inferno	13–16	-0.06	26%	31 Aug →
anubis	11–13	-0.01	20%	26 Aug →
dust2	13–6	0.03	35%	26 Aug →
ancient	16–13	-0.04	18%	26 Aug →
inferno	5–13	-0.04	19%	26 Aug →