Sadler — CS2 Stats

US76561199172917628[U:1:1212651900]Steam profile ↗✓ No bans

185Tracked matches41%Win rate2026Tracked since

127Hours in CS

CSDB Rating3.5 Learning

Premier CS Rating7,496Light Blue band · top ~66.9% of ranked players (population est.)

CSDB Leaderboard#43230 of 57878 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=1,554), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Light Blue band median	Blue band median	vs Blue band
Headshot rate	70.2%	39.9%	41.5%	above
Shot accuracy	0.0%	6.3%	9.1%	9.1% short
Kill/death ratio	2.30	0.91	0.98	above
Match win rate	45.5%	42.1%	43.7%	above

This profile matches the typical Blue band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim40

Positioning50

Utility22

0–100 skill scores via Leetify.

Recent form

STEADY43–53–4Last 10043%Win rateWLLLWLWLWL

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Aim4.0

Aggression5.0

Utility2.2

Positioning5.0

Opening Duels1.2

Clutch7.2

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 74% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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. 667ms 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

Aim4.0

Positioning5.0

Utility2.2

Mechanics6.6

Opening Duels1.2

Win Impact2.1

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time673ms−19ms

first ⅓ avg 692ms → last ⅓ avg 673ms

Headshot accuracy15.9%−1.2%

first ⅓ avg 17.1% → last ⅓ avg 15.9%

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.

Highlights

0.13Best rating — nuke 13–5

13–1Biggest win — dust2

4Longest win streak

6–6In matches decided by ≤2 rounds

3Overtime games

Map breakdown

dust2Best map · 53% over 38infernoWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	38	20–18	53%	-0.00
mirage	C	19	7–12	37%	-0.01
cache	C	17	7–10	41%	-0.02
nuke	B	13	6–7	46%	-0.01
inferno	D	5	1–4	20%	-0.04
anubis	—	4	1–3	25%	-0.01
ancient	—	2	0–2	0%	-0.03
overpass	—	2	1–1	50%	-0.00

Across the last 100 tracked matches.

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

Lifetime stats

13,264Lifetime kills

2.30K/D · Top 1% of Light Blue band

345Matches

45.5%Match win rate · Top 25% of Light Blue band

70.2%Headshot % · Top 1% of Light Blue band

0.0%Shot accuracy

983MVPs

127Hours (in match)

453Bombs planted

136Bombs defused

Most-used weapons

AK-477,514

AWP938

M4A4 / M4A1-S767

P2000 / USP-S767

Desert Eagle582

FAMAS407

Negev369

Nova255

Glock-18251

Galil AR236

Lifetime map wins

1,366dust2

461inferno

353nuke

89vertigo

16office

9train

5italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

21Matches

38%Win rate

0.99Avg K/D

73.9ADR

35%Headshot %

Clutches & streaks

56%1v1 clutch win

29%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	6	17%	0.83	13.3
Inferno	3	33%	0.74	11.3
Mirage	3	100%	0.90	13.0
Ancient	3	67%	1.86	23.0
Anubis	2	50%	0.98	14.5
Cache	2	0%	0.90	13.5
Nuke	2	0%	0.73	16.0

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.

15.6%Headshot accuracy

29.2%Accuracy (enemy spotted)

31.8%Spray accuracy

79.5%Counter-strafing

11.8°Preaim

667msReaction time

32.5%T opening success

37.1%CT opening success

0.33Enemies flashed / flash

4.0%Flash assists

5.43HE damage / grenade

2.60Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3301 — below the 0.5 mark we flag
Grenade Lineups →
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 32.5261% — below the 40% mark we flag

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.

20% win rate across 5 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
dust2	13–3	0.09	6%	16 Aug →
nuke	10–13	0.02	14%	16 Aug →
dust2	10–13	-0.02	15%	16 Aug →
mirage	8–13	-0.02	22%	16 Aug →
inferno	13–8	0.04	10%	16 Aug →
mirage	1–13	-0.06	11%	16 Aug →
nuke	13–8	-0.02	0%	10 Aug →
dust2	4–13	-0.01	19%	8 Aug →
nuke	13–11	-0.03	13%	6 Aug →
nuke	2–7	-0.02	44%	6 Aug →
dust2	13–3	0.06	13%	6 Aug →
anubis	9–13	-0.01	17%	6 Aug →
nuke	7–13	-0.02	13%	6 Aug →
cache	13–4	-0.01	7%	6 Aug →
anubis	13–8	0.05	19%	6 Aug →
dust2	13–4	0.08	13%	6 Aug →
dust2	8–13	0.02	20%	4 Aug →
dust2	7–13	-0.03	19%	3 Aug →
mirage	13–6	0.01	8%	3 Aug →
dust2	0–6	-0.10	25%	2 Aug →
dust2	13–9	0.04	29%	2 Aug →
anubis	1–13	-0.04	13%	31 Jul →
nuke	4–13	-0.06	12%	31 Jul →
dust2	9–13	-0.03	24%	30 Jul →
cache	6–13	-0.01	16%	28 Jul →
anubis	15–15	-0.04	14%	28 Jul →
nuke	9–5	0.06	32%	28 Jul →
cache	9–13	-0.06	14%	28 Jul →
dust2	13–7	-0.03	7%	28 Jul →
mirage	9–13	-0.01	17%	27 Jul →
dust2	9–13	-0.07	14%	27 Jul →
cache	10–13	-0.03	7%	27 Jul →
dust2	13–5	0.02	18%	27 Jul →
cache	11–13	-0.05	15%	25 Jul →
cache	13–10	0.01	21%	25 Jul →
mirage	10–13	-0.02	16%	23 Jul →
dust2	11–13	-0.06	21%	23 Jul →
nuke	5–13	-0.10	14%	22 Jul →
cache	8–13	0.05	15%	22 Jul →
dust2	13–7	-0.01	14%	22 Jul →
dust2	13–4	0.03	20%	21 Jul →
cache	7–13	-0.04	6%	21 Jul →
dust2	5–13	-0.06	19%	20 Jul →
dust2	13–10	0.01	11%	20 Jul →
nuke	5–13	0.01	11%	19 Jul →
mirage	13–10	-0.01	8%	18 Jul →
cache	13–11	0.03	15%	18 Jul →
mirage	13–8	-0.04	4%	18 Jul →
cache	13–11	-0.07	18%	18 Jul →
ancient	9–13	-0.04	12%	18 Jul →
mirage	13–5	0.02	20%	16 Jul →
nuke	13–6	-0.01	19%	16 Jul →
mirage	14–16	-0.02	14%	16 Jul →
nuke	4–13	-0.09	24%	16 Jul →
inferno	9–13	-0.03	14%	15 Jul →
dust2	13–6	-0.04	14%	15 Jul →
dust2	12–12	0.01	10%	15 Jul →
inferno	5–9	-0.11	22%	15 Jul →
cache	13–9	0.03	14%	14 Jul →
dust2	13–5	0.02	17%	14 Jul →
nuke	13–4	0.00	17%	13 Jul →
ancient	9–13	-0.01	7%	13 Jul →
cache	13–10	0.01	10%	13 Jul →
mirage	13–10	-0.03	15%	13 Jul →
mirage	2–13	-0.04	15%	13 Jul →
dust2	13–11	0.01	11%	12 Jul →
dust2	13–11	0.07	11%	12 Jul →
dust2	13–8	0.01	23%	12 Jul →
dust2	10–5	0.06	36%	12 Jul →
cache	9–13	-0.03	18%	12 Jul →
inferno	6–13	-0.03	29%	12 Jul →
mirage	9–13	0.01	28%	10 Jul →
nuke	13–5	0.13	21%	10 Jul →
dust2	8–13	0.01	22%	9 Jul →
dust2	9–13	-0.05	6%	9 Jul →
dust2	5–13	-0.07	15%	7 Jul →
dust2	13–9	0.05	15%	7 Jul →
dust2	13–9	-0.04	9%	6 Jul →
mirage	12–12	0.01	29%	6 Jul →
dust2	13–1	0.09	37%	6 Jul →
inferno	6–13	-0.08	20%	6 Jul →
cache	5–10	-0.06	0%	6 Jul →
overpass	9–13	-0.06	20%	3 Jul →
cache	12–12	-0.01	14%	3 Jul →
dust2	10–13	-0.05	13%	3 Jul →
dust2	13–10	0.00	13%	3 Jul →
mirage	13–11	-0.01	21%	29 Jun →
mirage	14–16	0.02	12%	13 Jun →
dust2	9–13	-0.03	28%	13 Jun →
dust2	13–5	0.03	6%	13 Jun →
mirage	9–13	0.02	19%	14 May →
dust2	3–13	-0.02	26%	3 May →
dust2	9–13	-0.04	9%	3 May →
mirage	2–13	0.01	18%	30 Apr →
cache	13–8	-0.06	11%	29 Apr →
dust2	9–13	-0.09	16%	29 Apr →
cache	1–2	0.00	0%	29 Apr →
overpass	13–9	0.06	16%	28 Apr →
mirage	13–10	0.06	10%	28 Apr →
mirage	11–13	-0.03	7%	28 Apr →