🅽🅰🅺🅴🆁 — CS2 Stats

CA76561198075300627[U:1:115034899]Steam profile ↗✓ No bans

2,088Tracked matches43%Win rate2020Tracked since

CSDB Rating4.9 DevelopingSupport

Premier CS Rating22,596Top 25% of 180,525 CSDB-tracked playersPink band · top ~5.6% of ranked players (population est.)

CSDB Leaderboard#43216 of 225464 tracked

FaceitLevel 3 · 1,095 ELOTop 90.6% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Sep 2026 (6 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 37 days played since 24 Jun 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 22,596 +143 24 Jun – 12 Sept · 21 days played

Faceit ELO: 1,095 +0 2 Sept – 10 Sept · 3 observations

24,187Peak Premier in tracked matches

1,095Highest Faceit ELO seen on CSDB

37Days played since 2026-06-24

Faceit ELO

At peak — 1,095
Next: Level 6 at 1,201 — 106 to go
Reached: Level 5 · Level 4 · Level 3 · Level 2
Level 5 first seen 2026-09-02
Level 4 first seen 2026-09-02

Premier CS Rating

1,591 below peak (24,187)
-804 over 30 days · declining
+143 over 90 days
Next: Red band at 25,000 — 2,404 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-09-02
Purple band first seen 2026-09-02

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

Aim62

Positioning40

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY51–44–5Last 10051%Win rateLTWWLWWLWL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −1.1pp headshot accuracy · +65ms 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

2–2–1 · 40% win rate
Avg rating -0.08
Avg headshot accuracy 21%
Avg reaction 666ms

Last 10

5–4–1 · 50% win rate
Avg rating -0.07
Avg headshot accuracy 22%
Avg reaction 677ms

Last 20

11–7–2 · 55% win rate
Avg rating -0.06
Avg headshot accuracy 23%
Avg reaction 645ms

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 (+2.1 against its own average).

Aim6.2

Utility5.4

Positioning4.0

Opening Duels0.0

Clutch3.8

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 Twistzz 85% 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

Areas to improve

Reaction time. 637ms 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

Aim6.2

Positioning4.0

Utility5.4

Mechanics6.8

Opening Duels0.3

Win Impact2.6

Composite 4.9/10 (Developing), 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-0.05−0.04

first ⅓ avg -0.01 → last ⅓ avg -0.05

Reaction time639ms−16ms

first ⅓ avg 655ms → last ⅓ avg 639ms

Headshot accuracy21.9%−4.1%

first ⅓ avg 26.0% → last ⅓ avg 21.9%

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

0.16Best match rating · 13–11 · nuke, 6 Aug →

55%Best headshot accuracy · 13–5 · dust2, 4 Jul →

453msFastest reaction time · 6–13 · inferno, 4 Jul →

13–3Biggest win · mirage, 12 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak

8–10In matches decided by ≤2 rounds

10Overtime games

Map breakdown

ancientBest map · 64% over 11cacheWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	23	12–11	52%	0.01
mirage	B	19	9–10	47%	-0.03
anubis	A	17	10–7	59%	-0.02
inferno	B	16	8–8	50%	-0.01
ancient	A	11	7–4	64%	-0.02
cache	D	7	2–5	29%	-0.02
nuke	—	2	2–0	100%	0.06
vertigo	—	2	0–2	0%	-0.14
debris	—	1	1–0	100%	-0.07
eldorado	—	1	0–1	0%	-0.15
office	—	1	0–1	0%	-0.11

Across the last 100 tracked matches.

Faceit stats

Combat

996Matches

48%Win rate

0.99Avg K/D

70.7ADR

48%Headshot %

Clutches & streaks

39%1v1 clutch win

18%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	120	55%	0.91	13.8
Inferno	67	51%	0.88	12.0
Ancient	57	53%	0.97	13.6
Anubis	52	58%	0.90	13.2
Dust2	44	39%	0.96	14.6
Nuke	21	38%	1.05	15.3
Train	6	50%	1.12	15.0
Overpass	5	40%	1.30	19.2

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.

22.0%Headshot accuracy

32.0%Accuracy (enemy spotted)

34.9%Spray accuracy

80.4%Counter-strafing

10.9°Preaim

637msReaction time

20.4%T opening success

32.1%CT opening success

0.52Enemies flashed / flash

4.1%Flash assists

8.02HE damage / grenade

17.39Flashes / 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
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 20.3673% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	9–13	-0.08	13%	12 Sept →
dust2	12–12	-0.10	27%	12 Sept →
anubis	13–10	-0.07	27%	12 Sept →
mirage	13–3	-0.06	27%	12 Sept →
mirage	6–13	-0.08	12%	9 Sept →
anubis	13–9	-0.03	16%	9 Sept →
anubis	13–11	-0.03	17%	4 Sept →
mirage	9–13	-0.07	26%	3 Sept →
inferno	13–8	-0.04	35%	3 Sept →
cache	7–13	-0.09	19%	3 Sept →
anubis	13–7	-0.03	24%	3 Sept →
ancient	13–9	-0.01	12%	2 Sept →
cache	7–13	-0.04	33%	1 Sept →
nuke	9–3	-0.04	13%	29 Aug →
debris	9–4	-0.07	26%	29 Aug →
vertigo	2–9	-0.23	8%	29 Aug →
eldorado	8–8	-0.15	15%	29 Aug →
inferno	9–4	0.03	38%	29 Aug →
dust2	13–10	-0.05	29%	28 Aug →
cache	10–13	-0.05	32%	28 Aug →
mirage	13–6	-0.01	31%	28 Aug →
dust2	16–13	-0.01	23%	28 Aug →
inferno	15–15	0.01	36%	28 Aug →
anubis	11–13	-0.09	6%	28 Aug →
inferno	11–13	0.01	23%	26 Aug →
cache	9–13	-0.04	15%	26 Aug →
inferno	14–16	0.02	20%	26 Aug →
ancient	13–11	-0.02	26%	26 Aug →
anubis	3–13	-0.09	26%	25 Aug →
dust2	9–13	-0.08	17%	19 Aug →
mirage	10–13	-0.04	15%	19 Aug →
office	9–13	-0.11	24%	19 Aug →
mirage	11–13	-0.03	11%	19 Aug →
inferno	13–8	0.03	25%	19 Aug →
vertigo	7–13	-0.04	10%	19 Aug →
mirage	12–12	-0.02	21%	14 Aug →
dust2	10–13	-0.02	16%	14 Aug →
dust2	13–3	0.09	40%	12 Aug →
dust2	11–13	0.03	15%	12 Aug →
mirage	9–13	-0.10	21%	12 Aug →
dust2	4–13	-0.01	19%	11 Aug →
ancient	13–9	0.01	19%	11 Aug →
ancient	13–8	-0.05	17%	10 Aug →
dust2	13–11	-0.01	18%	9 Aug →
mirage	13–3	0.06	24%	9 Aug →
cache	13–7	-0.01	29%	8 Aug →
inferno	13–8	0.06	26%	7 Aug →
dust2	13–3	0.09	27%	7 Aug →
dust2	16–13	0.12	29%	6 Aug →
dust2	7–13	0.12	29%	6 Aug →
nuke	13–11	0.16	17%	6 Aug →
anubis	5–13	0.04	26%	6 Aug →
anubis	13–9	0.06	29%	5 Aug →
cache	13–7	0.06	20%	5 Aug →
anubis	7–13	-0.06	23%	5 Aug →
dust2	13–9	0.04	25%	5 Aug →
inferno	6–10	-0.04	37%	28 Jul →
anubis	11–13	-0.03	17%	28 Jul →
inferno	13–11	0.00	14%	28 Jul →
ancient	9–13	0.01	12%	28 Jul →
anubis	13–6	0.01	20%	28 Jul →
mirage	2–13	-0.07	40%	28 Jul →
anubis	14–16	-0.07	13%	27 Jul →
dust2	8–13	0.02	19%	25 Jul →
ancient	13–16	-0.01	21%	23 Jul →
mirage	13–7	0.03	25%	23 Jul →
mirage	13–6	0.04	28%	23 Jul →
ancient	6–13	-0.03	14%	23 Jul →
mirage	16–14	0.12	21%	22 Jul →
anubis	13–3	0.12	18%	22 Jul →
cache	10–13	0.01	17%	22 Jul →
dust2	13–7	-0.01	25%	22 Jul →
mirage	16–13	-0.06	14%	22 Jul →
dust2	13–8	0.04	29%	21 Jul →
dust2	13–16	-0.03	22%	18 Jul →
mirage	11–13	-0.07	33%	15 Jul →
dust2	13–5	-0.01	30%	8 Jul →
dust2	13–6	0.04	32%	8 Jul →
mirage	13–10	-0.02	22%	7 Jul →
inferno	11–13	-0.08	25%	7 Jul →
anubis	13–11	-0.03	39%	5 Jul →
ancient	13–11	-0.06	27%	5 Jul →
dust2	13–5	-0.02	55%	4 Jul →
inferno	0–13	-0.04	50%	4 Jul →
inferno	6–13	-0.09	38%	4 Jul →
mirage	13–10	-0.05	17%	4 Jul →
ancient	13–4	-0.00	44%	4 Jul →
anubis	13–6	-0.04	18%	4 Jul →
ancient	13–9	-0.03	20%	4 Jul →
inferno	9–13	-0.03	22%	3 Jul →
ancient	10–13	-0.04	16%	2 Jul →
dust2	6–13	-0.06	13%	2 Jul →
dust2	12–12	0.07	23%	2 Jul →
inferno	13–9	0.01	23%	2 Jul →
anubis	8–13	-0.07	22%	2 Jul →
inferno	13–5	0.03	31%	2 Jul →
dust2	17–19	-0.00	26%	29 Jun →
inferno	13–9	-0.02	26%	26 Jun →
anubis	13–8	0.04	20%	26 Jun →
mirage	4–13	-0.06	28%	24 Jun →