dtc -A- — CS2 Stats

76561197961440089[U:1:1174361]Steam profile ↗✓ No bans

1,353Tracked matches62%Win rate2020Tracked since

CSDB Rating6.9 SolidSupport

Premier CS Rating19,257Top 50% of 211,308 CSDB-tracked playersPurple band · top ~11.5% of ranked players (population est.)

CSDB Leaderboard#95440 of 258290 tracked

FaceitLevel 9 · 1,818 ELOTop 20.7% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (5 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.

Rating over time

Premier CS Rating: 19,257 -743 22 Apr – 23 Oct · 16 days played

Faceit ELO: 1,818 +0 3 Sept – 17 Sept · 3 observations

20,101Peak Premier in tracked matches

1,818Highest Faceit ELO seen on CSDB

29Days played since 2026-04-22

Faceit ELO

At peak — 1,818
Next: Level 10 at 2,001 — 183 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6
Level 9 first seen 2026-09-03
Level 8 first seen 2026-09-03

Premier CS Rating

743 below peak (20,000)
+3,627 over 30 days · improving
Next: Pink band at 20,000 — 743 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-12
Blue band first seen 2026-09-12

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

Aim75

Positioning61

Utility83

0–100 skill scores via Leetify.

Recent form

STEADY45–51–4Last 10045%Win rateLWWWWWWLLL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +1.1pp headshot accuracy · −4ms 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 0.03
Avg headshot accuracy 20%
Avg reaction 570ms

Last 10

6–4 · 60% win rate
Avg rating 0.04
Avg headshot accuracy 17%
Avg reaction 577ms

Last 20

10–9–1 · 50% win rate
Avg rating 0.03
Avg headshot accuracy 17%
Avg reaction 579ms

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 (+3.3 against its own average).

Aim7.5

Utility8.3

Positioning6.1

Opening Duels2.8

Clutch2.8

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 NiKo 73% 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

Flashes. 0.80 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 83 — grenade impact well above the norm.

Areas to improve

Reaction time. 575ms 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

Aim7.5

Positioning6.1

Utility8.3

Mechanics5.8

Opening Duels3.9

Win Impact9.0

Composite 6.9/10 (Solid), 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 rating0.03−0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time578ms−40ms

first ⅓ avg 618ms → last ⅓ avg 578ms

Headshot accuracy17.2%−3.7%

first ⅓ avg 20.9% → last ⅓ avg 17.2%

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

0.17Best match rating · 9–6 · inferno, 22 May →

37%Best headshot accuracy · 13–2 · dust2, 1 Aug →

414msFastest reaction time · 6–13 · nuke, 4 Sept →

13–2Biggest win · dust2, 1 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak

4–5In matches decided by ≤2 rounds

6Overtime games

Map breakdown

mirageBest map · 58% over 26ancientWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	26	15–11	58%	0.02
dust2	D	22	7–15	32%	0.02
inferno	A	20	11–9	55%	0.04
nuke	B	17	8–9	47%	0.02
ancient	D	5	1–4	20%	0.03
cache	—	4	2–2	50%	0.05
anubis	—	3	0–3	0%	0.02
rush_001	—	1	0–1	0%	0.02
vertigo	—	1	0–1	0%	0.01
overpass	—	1	1–0	100%	0.12

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,624Matches

51%Win rate

1.21Avg K/D

75.1ADR

44%Headshot %

Clutches & streaks

34%1v1 clutch win

22%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	72	54%	0.97	15.3
Nuke	63	54%	1.04	16.4
Overpass	40	45%	0.93	13.6
Dust2	29	59%	0.90	13.6
Mirage	19	47%	0.96	15.2
Cache	12	58%	1.05	15.5
Train	11	36%	0.70	11.6
Ancient	10	20%	0.90	12.4

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.

18.0%Headshot accuracy

37.9%Accuracy (enemy spotted)

45.3%Spray accuracy

76.0%Counter-strafing

11.1°Preaim

575msReaction time

43.4%T opening success

47.9%CT opening success

0.80Enemies flashed / flash

11.2%Flash assists

14.09HE damage / grenade

15.30Flashes / 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.

20% win rate across 5 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
mirage	9–13	0.02	19%	23 Oct →
inferno	13–11	0.07	15%	23 Oct →
dust2	13–4	-0.01	20%	22 Oct →
mirage	13–3	0.03	21%	22 Oct →
mirage	13–8	0.05	26%	22 Oct →
cache	13–5	0.12	16%	22 Oct →
dust2	13–10	-0.00	15%	21 Oct →
anubis	10–13	-0.00	21%	20 Oct →
anubis	9–13	0.07	16%	18 Oct →
rush_001	7–8	0.02	5%	18 Oct →
mirage	5–13	0.01	20%	18 Oct →
nuke	8–13	-0.01	16%	18 Oct →
mirage	13–11	-0.01	17%	18 Oct →
inferno	13–6	0.04	17%	17 Oct →
mirage	10–13	-0.03	15%	17 Oct →
ancient	9–13	0.02	13%	17 Oct →
mirage	9–13	-0.01	10%	17 Oct →
dust2	15–15	-0.00	20%	17 Oct →
inferno	13–9	0.07	11%	17 Oct →
inferno	13–10	0.13	26%	16 Oct →
dust2	13–9	0.04	30%	16 Oct →
mirage	13–5	0.04	29%	16 Oct →
nuke	12–2	-0.02	25%	16 Oct →
nuke	13–5	0.06	16%	16 Oct →
mirage	13–4	-0.04	20%	16 Oct →
inferno	10–13	0.03	14%	14 Oct →
nuke	13–8	0.05	19%	14 Oct →
dust2	11–13	0.01	14%	13 Oct →
mirage	13–10	0.08	18%	13 Oct →
nuke	13–8	-0.03	12%	10 Oct →
anubis	2–13	-0.02	18%	10 Oct →
inferno	13–10	0.05	11%	10 Oct →
inferno	7–13	0.01	5%	10 Oct →
ancient	7–13	-0.06	9%	10 Oct →
mirage	13–16	0.11	21%	5 Sept →
inferno	13–9	0.07	15%	5 Sept →
dust2	10–13	0.03	24%	5 Sept →
nuke	13–5	0.08	17%	4 Sept →
mirage	11–13	-0.02	16%	4 Sept →
ancient	10–13	0.03	27%	4 Sept →
dust2	9–13	-0.03	18%	4 Sept →
cache	8–13	0.09	23%	4 Sept →
nuke	10–13	0.04	35%	4 Sept →
mirage	6–13	-0.08	29%	4 Sept →
ancient	13–7	0.10	25%	4 Sept →
dust2	8–13	0.02	24%	4 Sept →
mirage	13–9	0.03	23%	4 Sept →
nuke	6–13	0.02	18%	4 Sept →
mirage	13–3	0.09	22%	4 Sept →
inferno	8–13	-0.03	34%	25 Aug →
nuke	11–13	-0.02	22%	15 Aug →
cache	13–4	0.02	24%	15 Aug →
inferno	9–13	0.06	16%	6 Aug →
mirage	13–8	0.09	27%	6 Aug →
mirage	13–4	0.08	15%	1 Aug →
dust2	13–2	0.05	37%	1 Aug →
inferno	8–13	-0.02	20%	1 Aug →
mirage	7–13	-0.03	20%	1 Aug →
dust2	7–13	0.09	20%	1 Aug →
ancient	8–13	0.03	22%	1 Aug →
inferno	13–9	0.06	18%	1 Aug →
dust2	7–13	-0.04	24%	1 Aug →
mirage	13–9	0.00	21%	29 Jul →
nuke	16–19	0.03	26%	28 Jul →
cache	2–13	-0.05	29%	28 Jul →
inferno	13–7	-0.04	21%	26 Jul →
inferno	9–13	0.06	20%	26 Jul →
dust2	11–13	-0.02	16%	26 Jul →
nuke	15–15	-0.02	19%	26 Jul →
mirage	4–13	-0.03	33%	26 Jul →
inferno	13–10	0.03	31%	26 Jul →
dust2	12–12	-0.00	26%	16 Jul →
mirage	13–10	0.05	24%	16 Jul →
dust2	5–13	0.00	29%	16 Jul →
mirage	0–13	-0.06	0%	16 Jul →
dust2	2–13	-0.10	30%	16 Jul →
dust2	13–8	0.01	25%	16 Jul →
dust2	12–12	0.05	16%	16 Jul →
mirage	13–10	0.12	33%	15 Jul →
mirage	13–11	-0.04	25%	7 Jun →
nuke	0–13	-0.08	14%	22 May →
mirage	13–7	0.10	18%	22 May →
nuke	9–13	-0.04	15%	22 May →
mirage	1–13	-0.10	14%	22 May →
inferno	9–6	0.17	25%	22 May →
vertigo	6–9	0.01	24%	22 May →
inferno	13–5	0.09	18%	22 May →
dust2	13–9	0.08	16%	15 May →
inferno	10–13	0.03	17%	15 May →
overpass	13–4	0.12	24%	15 May →
inferno	12–16	0.02	13%	2 May →
nuke	13–4	0.02	24%	2 May →
inferno	7–13	-0.01	22%	2 May →
nuke	10–13	0.08	19%	28 Apr →
dust2	8–13	0.03	20%	27 Apr →
nuke	13–11	0.13	10%	27 Apr →
dust2	7–13	0.02	20%	27 Apr →
nuke	13–10	0.02	22%	25 Apr →
dust2	13–16	0.07	23%	22 Apr →
dust2	13–10	0.11	22%	22 Apr →