specialplace — CS2 Stats

76561198170267106[U:1:210001378]Steam profile ↗

1,892Tracked matches50%Win rate2020Tracked since

CSDB Rating6.6 SolidHybrid Rifler

CSDB Leaderboard#9555 of 11995 tracked

FaceitLevel 10 · 3,611 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Rating over time

3,611Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 3,611
Next: 4,000 ELO at 4,000 — 389 to go
Reached: 3,500 ELO · 3,000 ELO · 2,500 ELO · Level 10
3,500 ELO first seen 2026-08-28
3,000 ELO first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim87

Positioning48

Utility59

0–100 skill scores via Leetify.

Recent form

HOT55–44–1Last 10055%Win rateLWWWWWLLWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim8.7

Aggression5.4

Utility5.9

Positioning4.8

Opening Duels1.7

Clutch4.4

Sharp aimerStrong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like NiKo 94% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 49% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.7

Positioning4.8

Utility5.9

Mechanics7.6

Opening Duels2.3

Win Impact5.0

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time530ms−18ms

first ⅓ avg 548ms → last ⅓ avg 530ms

Headshot accuracy20.7%−3.6%

first ⅓ avg 24.3% → last ⅓ avg 20.7%

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.

Highlights

0.15Best rating — mirage 13–2

13–2Biggest win — ancient

7Longest win streak

10–8In matches decided by ≤2 rounds

10Overtime games

Map breakdown

mirageBest map · 77% over 22dust2Weakest map · 41% over 22

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	22	17–5	77%	0.01
dust2	C	22	9–13	41%	0.00
ancient	A	16	10–6	63%	0.00
nuke	B	16	8–8	50%	-0.00
anubis	B	15	7–8	47%	0.01
train	A	5	3–2	60%	-0.01
overpass	—	2	1–1	50%	-0.01
inferno	—	1	0–1	0%	-0.04
vertigo	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (41% over 22). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,329Matches

58%Win rate

1.44Avg K/D

83.9ADR

45%Headshot %

Clutches & streaks

42%1v1 clutch win

24%1v2 clutch win

15Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	387	56%	1.26	17.9
Ancient	245	60%	1.26	16.7
Anubis	203	62%	1.40	17.6
Dust2	186	57%	1.27	16.9
Nuke	86	55%	1.30	16.9
Vertigo	47	55%	1.38	16.5
Overpass	28	75%	1.39	17.5
Train	17	71%	1.30	16.2

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.

21.1%Headshot accuracy

37.7%Accuracy (enemy spotted)

41.9%Spray accuracy

84.2%Counter-strafing

8.9°Preaim

526msReaction time

25.4%T opening success

48.6%CT opening success

0.62Enemies flashed / flash

6.2%Flash assists

6.64HE damage / grenade

11.95Flashes / 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 25.3784% — below the 40% mark we flag

Spend your practice time on Dust 2

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

41% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	7–13	0.07	18%	4 Aug →
mirage	16–12	-0.04	25%	26 Jun →
ancient	13–9	0.07	25%	23 Jun →
mirage	13–8	0.02	26%	23 Jun →
dust2	13–6	0.08	22%	21 Jun →
mirage	13–4	0.04	30%	15 Jun →
dust2	3–13	-0.04	10%	28 Apr →
nuke	6–13	-0.02	23%	28 Apr →
mirage	13–10	0.01	18%	27 Apr →
ancient	13–6	0.06	24%	27 Apr →
mirage	4–13	-0.10	14%	26 Apr →
overpass	13–11	0.03	23%	26 Apr →
nuke	7–13	0.01	24%	26 Apr →
mirage	13–4	0.07	33%	25 Apr →
dust2	13–3	0.02	6%	25 Apr →
dust2	9–13	-0.02	7%	23 Apr →
nuke	8–13	-0.01	17%	23 Apr →
ancient	13–2	0.03	24%	23 Apr →
dust2	7–13	-0.00	36%	19 Apr →
dust2	4–13	0.02	24%	10 Apr →
ancient	11–13	-0.06	17%	5 Apr →
overpass	11–13	-0.04	24%	5 Apr →
anubis	11–7	0.02	33%	4 Apr →
anubis	5–7	-0.03	10%	4 Apr →
dust2	13–10	0.02	28%	4 Apr →
mirage	1–13	-0.05	14%	4 Apr →
ancient	9–13	-0.05	15%	3 Apr →
mirage	13–10	0.01	21%	3 Apr →
dust2	6–13	-0.01	13%	1 Apr →
nuke	13–4	-0.01	21%	1 Apr →
mirage	13–9	-0.01	17%	30 Mar →
dust2	13–11	0.00	22%	30 Mar →
mirage	13–6	0.12	21%	4 Oct →
mirage	13–6	-0.01	33%	10 Sept →
dust2	9–13	-0.04	17%	19 Jul →
mirage	13–11	-0.00	34%	19 Jul →
train	9–13	-0.00	18%	19 Jul →
ancient	13–7	0.03	24%	12 Jul →
train	13–11	-0.01	28%	10 Jul →
mirage	3–13	-0.03	52%	10 Jul →
dust2	9–13	-0.05	11%	10 Jul →
anubis	13–16	0.01	25%	8 Jul →
nuke	11–13	0.01	11%	8 Jul →
dust2	13–11	-0.00	17%	8 Jul →
mirage	14–8	0.04	25%	7 Jul →
anubis	13–7	-0.03	15%	7 Jul →
mirage	13–10	-0.06	17%	7 Jul →
anubis	12–13	0.01	21%	7 Jul →
ancient	16–14	0.01	17%	7 Jul →
dust2	10–13	0.02	25%	7 Jul →
dust2	13–3	0.06	32%	6 Jul →
nuke	13–7	0.03	34%	6 Jul →
nuke	13–9	0.02	33%	4 Jul →
dust2	13–6	-0.01	20%	4 Jul →
ancient	13–7	0.04	31%	3 Jul →
dust2	13–6	0.05	34%	3 Jul →
nuke	16–13	0.03	18%	3 Jul →
dust2	9–13	-0.01	16%	2 Jul →
train	13–9	0.03	33%	2 Jul →
ancient	7–13	-0.05	28%	2 Jul →
ancient	13–10	0.00	27%	30 Jun →
nuke	5–13	-0.03	28%	30 Jun →
train	13–6	-0.05	21%	30 Jun →
ancient	13–8	-0.02	36%	25 Jun →
mirage	13–2	-0.01	19%	25 Jun →
dust2	7–13	0.01	33%	22 Jun →
ancient	10–13	-0.05	33%	22 Jun →
ancient	13–9	0.01	32%	31 May →
train	8–13	-0.03	24%	31 May →
anubis	6–13	-0.03	37%	31 May →
anubis	13–11	0.02	10%	30 May →
nuke	13–4	0.06	14%	30 May →
nuke	7–13	-0.07	18%	23 May →
anubis	16–14	-0.02	30%	23 May →
nuke	11–13	-0.06	15%	21 May →
nuke	9–13	0.00	31%	21 May →
anubis	13–4	-0.02	19%	21 May →
mirage	13–8	0.01	15%	21 May →
anubis	8–13	0.01	17%	17 May →
dust2	3–13	-0.07	25%	17 May →
ancient	13–7	0.05	22%	17 May →
inferno	8–8	-0.04	25%	16 May →
anubis	19–17	0.03	32%	13 May →
dust2	7–13	0.01	21%	13 May →
ancient	4–13	-0.00	10%	13 May →
nuke	13–8	0.04	27%	11 May →
nuke	13–8	-0.00	26%	1 Mar →
nuke	13–7	-0.02	22%	11 Feb →
anubis	11–13	0.07	17%	21 Nov →
dust2	17–19	0.05	27%	7 May →
anubis	13–16	0.04	54%	6 May →
anubis	13–11	0.10	28%	6 May →
dust2	13–8	0.03	27%	4 May →
ancient	6–13	-0.05	16%	2 May →
anubis	8–13	-0.05	37%	2 May →
mirage	5–13	0.04	26%	2 May →
vertigo	3–13	-0.07	20%	1 May →
mirage	13–2	0.15	25%	26 Apr →
mirage	16–12	0.01	29%	25 Apr →
mirage	13–9	0.03	22%	24 Apr →