slers — CS2 Stats

FI76561199235854314[U:1:1275588586]Steam profile ↗✓ No bans

2,935Tracked matches31%Win rate2022Tracked since

CSDB Rating6.1 SolidPositional Player

Premier CS Rating15,185Purple band · top ~27.7% of ranked players (population est.)

CSDB Leaderboard#145249 of 260007 tracked

FaceitLevel 6 · 1,120 ELOTop 54.0% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 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.

Rating over time

Premier CS Rating: 15,185 -235 1 Sept – 30 Oct · 12 days played

Faceit ELO: 1,120 +0 1 Sept – 26 Sept · 3 observations

16,073Peak Premier in tracked matches

1,120Highest Faceit ELO seen on CSDB

28Days played since 2026-09-01

Faceit ELO

At peak — 1,120
0 over 30 days · steady
Next: Level 6 at 1,201 — 81 to go
Reached: Level 5 · Level 4 · Level 3 · Level 2
Level 5 first seen 2026-09-01
Level 4 first seen 2026-09-01

Premier CS Rating

888 below peak (16,073)
+185 over 30 days · steady
Next: Pink band at 20,000 — 4,815 to go
Reached: 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

Aim75

Positioning66

Utility55

0–100 skill scores via Leetify.

Recent form

COLD31–53–16Last 10031%Win rateLLLLTLTLLL

Last 10 vs previous 10: −30pp win rate · −0.00 avg rating · −1.3pp headshot accuracy · +48ms 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

0–4–1 · 0% win rate
Avg rating -0.02
Avg headshot accuracy 14%
Avg reaction 577ms

Last 10

0–8–2 · 0% win rate
Avg rating -0.02
Avg headshot accuracy 14%
Avg reaction 618ms

Last 20

3–14–3 · 15% win rate
Avg rating -0.02
Avg headshot accuracy 14%
Avg reaction 594ms

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 (+1.8 against its own average).

Aim7.5

Utility5.5

Positioning6.6

Opening Duels5.1

Clutch2.2

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 m0NESY 91% 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. 602ms 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

Positioning6.6

Utility5.5

Mechanics6.7

Opening Duels6.7

Win Impact0.0

Composite 6.1/10 (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 rating-0.01+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time603ms+36ms

first ⅓ avg 567ms → last ⅓ avg 603ms

Headshot accuracy15.0%−2.1%

first ⅓ avg 17.1% → last ⅓ avg 15.0%

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

0.11Best match rating · 11–13 · office, 25 Sept →

34%Best headshot accuracy · 3–13 · office, 14 Sept →

414msFastest reaction time · 4–13 · office, 7 Oct →

13–0Biggest win · cache, 3 Oct →

Across the last 100 tracked matches.

Highlights

2Longest win streak

L4Current streak

7–7In matches decided by ≤2 rounds

3Overtime games

Map breakdown

infernoBest map · 57% over 7dust2Weakest map · 0% over 8

Map	Grade	Played	Record	Win rate	Avg rating
cache	D	19	6–13	32%	-0.01
office	D	17	4–13	24%	-0.01
nuke	C	14	6–8	43%	0.02
mirage	C	9	4–5	44%	-0.00
ancient	C	8	3–5	38%	-0.02
dust2	D	8	0–8	0%	-0.03
inferno	A	7	4–3	57%	-0.01
shelter	D	5	1–4	20%	0.02
train	—	4	1–3	25%	-0.03
anubis	—	3	0–3	0%	-0.01
overpass	—	3	1–2	33%	0.02
italy	—	2	0–2	0%	-0.03
vertigo	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

430Matches

50%Win rate

0.91Avg K/D

77.3ADR

39%Headshot %

Clutches & streaks

31%1v1 clutch win

26%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	56	62%	1.01	15.2
Mirage	50	58%	1.06	14.8
Nuke	47	47%	1.08	15.4
Inferno	30	37%	0.82	14.2
Anubis	26	38%	0.90	13.8
Cache	21	71%	1.02	14.5
Dust2	13	31%	0.85	13.8
Vertigo	7	43%	1.00	16.6

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.

15.8%Headshot accuracy

38.9%Accuracy (enemy spotted)

37.9%Spray accuracy

80.0%Counter-strafing

8.8°Preaim

602msReaction time

57.5%T opening success

56.2%CT opening success

0.64Enemies flashed / flash

9.7%Flash assists

7.49HE damage / grenade

12.07Flashes / match

Recommended for you

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.

0% win rate across 8 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
inferno	5–11	0.03	9%	31 Oct →
ancient	2–13	-0.05	19%	31 Oct →
nuke	9–13	0.03	12%	30 Oct →
dust2	3–13	-0.06	17%	30 Oct →
mirage	15–15	-0.03	11%	29 Oct →
cache	4–13	-0.02	18%	29 Oct →
cache	12–12	0.06	19%	29 Oct →
cache	5–13	-0.07	10%	29 Oct →
ancient	13–16	-0.03	18%	29 Oct →
mirage	10–13	-0.04	4%	29 Oct →
office	13–11	-0.07	14%	29 Oct →
mirage	13–4	0.01	15%	27 Oct →
ancient	10–13	-0.03	16%	26 Oct →
cache	7–13	0.05	9%	26 Oct →
train	6–13	-0.06	11%	26 Oct →
cache	12–12	-0.02	14%	26 Oct →
italy	11–13	-0.05	10%	20 Oct →
inferno	13–6	0.03	13%	19 Oct →
mirage	11–13	0.03	20%	18 Oct →
office	11–13	-0.04	29%	18 Oct →
inferno	13–11	-0.04	21%	17 Oct →
cache	13–10	-0.04	21%	17 Oct →
nuke	4–13	-0.00	19%	17 Oct →
nuke	7–13	-0.02	19%	17 Oct →
cache	13–11	0.06	28%	17 Oct →
nuke	6–13	-0.01	18%	17 Oct →
train	12–12	0.02	10%	15 Oct →
office	2–13	-0.03	20%	15 Oct →
nuke	13–9	0.08	13%	14 Oct →
nuke	13–9	0.08	15%	10 Oct →
anubis	8–13	0.01	5%	10 Oct →
mirage	13–11	0.03	13%	10 Oct →
train	13–6	-0.03	4%	10 Oct →
dust2	2–13	-0.01	6%	10 Oct →
ancient	13–7	0.07	13%	9 Oct →
shelter	1–13	-0.05	28%	9 Oct →
cache	8–13	0.05	24%	9 Oct →
office	10–13	-0.07	16%	8 Oct →
shelter	12–12	0.06	15%	7 Oct →
shelter	13–7	0.05	33%	7 Oct →
office	4–13	-0.06	17%	7 Oct →
shelter	3–8	-0.02	26%	6 Oct →
shelter	9–13	0.06	23%	6 Oct →
office	13–2	0.11	24%	6 Oct →
nuke	12–12	-0.07	12%	3 Oct →
office	13–11	0.04	18%	3 Oct →
office	1–8	-0.04	19%	3 Oct →
nuke	12–12	0.02	17%	3 Oct →
cache	13–0	0.03	22%	3 Oct →
nuke	13–10	0.03	26%	27 Sept →
cache	9–13	-0.02	21%	26 Sept →
vertigo	13–11	0.02	24%	26 Sept →
dust2	8–13	-0.06	10%	26 Sept →
cache	12–12	-0.04	12%	26 Sept →
train	6–13	-0.06	15%	26 Sept →
nuke	13–3	0.08	6%	26 Sept →
overpass	13–9	0.03	23%	26 Sept →
cache	12–12	-0.05	22%	26 Sept →
inferno	10–13	-0.03	17%	26 Sept →
nuke	13–4	0.05	14%	25 Sept →
office	11–13	0.11	24%	25 Sept →
nuke	2–13	-0.09	6%	24 Sept →
ancient	11–13	-0.01	18%	24 Sept →
dust2	8–13	0.04	26%	24 Sept →
inferno	10–13	-0.01	13%	24 Sept →
office	12–12	-0.02	8%	24 Sept →
cache	9–13	-0.06	14%	19 Sept →
cache	13–8	-0.02	18%	19 Sept →
mirage	12–12	-0.07	9%	19 Sept →
ancient	13–9	-0.01	22%	19 Sept →
dust2	12–12	-0.01	14%	19 Sept →
nuke	12–12	0.01	13%	19 Sept →
overpass	9–13	-0.03	23%	18 Sept →
anubis	6–13	-0.06	2%	18 Sept →
ancient	13–11	-0.07	20%	18 Sept →
office	8–13	0.01	29%	18 Sept →
cache	12–12	-0.01	19%	18 Sept →
mirage	12–12	0.01	13%	18 Sept →
dust2	0–13	-0.06	13%	18 Sept →
cache	13–3	0.06	16%	18 Sept →
office	13–10	0.08	27%	18 Sept →
dust2	1–13	-0.03	7%	17 Sept →
anubis	5–13	0.03	9%	17 Sept →
office	9–13	-0.03	19%	17 Sept →
italy	11–13	-0.02	23%	17 Sept →
dust2	10–13	-0.04	12%	16 Sept →
inferno	13–4	-0.04	10%	16 Sept →
mirage	13–3	0.09	17%	16 Sept →
cache	6–13	-0.09	3%	16 Sept →
nuke	13–5	0.04	0%	16 Sept →
ancient	6–13	-0.04	20%	16 Sept →
office	7–13	-0.01	30%	16 Sept →
overpass	12–12	0.07	11%	15 Sept →
office	2–13	-0.07	26%	15 Sept →
inferno	13–6	0.00	29%	14 Sept →
office	11–13	-0.07	24%	14 Sept →
cache	13–5	0.03	20%	14 Sept →
office	3–13	-0.02	34%	14 Sept →
mirage	16–12	-0.06	17%	11 Sept →
cache	7–13	-0.03	16%	11 Sept →