Samander — CS2 Stats

76561198095656694[U:1:135390966]✓ No bans

5,217Tracked matches76%Win rate2020Tracked since

5,913Hours in CS

CSDB Rating6.3 SolidHybrid Rifler

Premier CS Rating27,165Top 10% of 819 CSDB-tracked playersRed band · top ~2% of ranked players (population est.)

CSDB Leaderboard#662 of 12924 tracked

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim82

Positioning42

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY58–39–3Last 10058%Win rateLWTLWWWLWW

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

Player DNA

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

Aim8.2

Aggression6.0

Utility4.4

Positioning4.2

Opening Duels2.3

Clutch3.4

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 Twistzz 88% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower positioning profile; lower 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

Areas to improve

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.2

Positioning4.2

Utility4.4

Mechanics5.7

Opening Duels2.3

Win Impact10.0

Composite 6.3/10 (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 rating0.02+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time524ms+3ms

first ⅓ avg 521ms → last ⅓ avg 524ms

Headshot accuracy24.8%+3.3%

first ⅓ avg 21.5% → last ⅓ avg 24.8%

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 — nuke 13–3

13–0Biggest win — inferno

8Longest win streak

11–10In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 89% over 9infernoWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	23	14–9	61%	0.03
dust2	A	18	10–8	56%	0.00
nuke	A	15	9–6	60%	0.04
ancient	B	13	6–7	46%	0.03
anubis	S	9	8–1	89%	0.01
cache	C	7	3–4	43%	0.01
overpass	A	7	4–3	57%	0.02
inferno	D	6	2–4	33%	0.00
train	—	1	1–0	100%	-0.03
office	—	1	1–0	100%	0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

290,994Lifetime kills

1.15K/D · Top 50% of tracked players

17,300Matches

56.2%Match win rate · Top 5% of tracked players

46.8%Headshot % · Top 50% of tracked players

13.7%Shot accuracy · Top 50% of tracked players

30,152MVPs

5,913Hours (in match)

12,802Bombs planted

3,790Bombs defused

Most-used weapons

AK-4797,404

M4A4 / M4A1-S39,808

AWP38,621

P2000 / USP-S15,409

Desert Eagle14,621

Glock-188,488

P906,955

Tec-96,500

Knife6,408

P2506,379

Lifetime map wins

27,645inferno

13,853nuke

11,600dust2

6,521vertigo

3,063train

2,324cbble

855office

248dust

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

Faceit stats

Combat

2,858Matches

49%Win rate

1.08Avg K/D

79.7ADR

50%Headshot %

Clutches & streaks

37%1v1 clutch win

24%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	505	49%	1.06	15.8
Ancient	455	48%	1.10	16.4
Anubis	321	49%	1.05	16.0
Inferno	197	44%	1.12	16.4
Vertigo	163	60%	1.11	16.7
Dust2	159	45%	0.93	14.5
Nuke	124	50%	1.21	16.9
Overpass	47	62%	1.23	16.9

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.

24.4%Headshot accuracy

34.4%Accuracy (enemy spotted)

38.2%Spray accuracy

75.5%Counter-strafing

9.0°Preaim

516msReaction time

33.4%T opening success

45.1%CT opening success

0.48Enemies flashed / flash

6.5%Flash assists

6.24HE damage / grenade

5.04Flashes / 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 0.4821 — 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 33.4346% — 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.

33% win rate across 6 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
ancient	11–13	0.05	29%	28 Aug →
cache	13–2	0.05	8%	23 Aug →
mirage	12–12	0.01	32%	23 Aug →
ancient	13–16	0.04	27%	23 Aug →
anubis	13–1	0.08	25%	23 Aug →
dust2	13–9	-0.05	15%	14 Aug →
nuke	13–6	0.05	18%	14 Aug →
cache	5–13	-0.07	22%	8 Aug →
mirage	13–5	0.03	16%	8 Aug →
ancient	13–7	0.03	31%	8 Aug →
mirage	13–1	0.07	18%	8 Aug →
nuke	13–2	0.07	32%	8 Aug →
inferno	8–13	-0.01	33%	7 Aug →
dust2	13–9	-0.00	34%	7 Aug →
train	13–11	-0.03	9%	2 Aug →
mirage	13–2	0.03	21%	25 Jul →
inferno	13–0	0.07	21%	25 Jul →
nuke	11–13	-0.01	22%	24 Jul →
mirage	6–13	-0.09	8%	24 Jul →
mirage	13–5	0.07	26%	23 Jul →
dust2	13–11	-0.07	21%	22 Jul →
mirage	4–13	0.02	27%	22 Jul →
nuke	16–14	0.03	36%	21 Jul →
ancient	13–4	-0.01	24%	21 Jul →
dust2	13–5	0.02	24%	21 Jul →
anubis	13–6	-0.05	8%	21 Jul →
nuke	13–3	0.15	32%	9 Jun →
anubis	13–2	0.00	25%	3 Jun →
mirage	13–3	0.03	22%	30 May →
office	13–3	0.11	59%	25 May →
cache	9–13	-0.01	24%	25 May →
nuke	13–10	0.04	41%	25 May →
dust2	11–13	0.00	27%	15 May →
dust2	9–13	-0.04	24%	14 May →
ancient	13–11	0.14	26%	11 May →
ancient	11–13	-0.04	18%	9 May →
mirage	10–13	0.00	18%	8 May →
overpass	13–2	0.09	15%	6 May →
overpass	13–3	0.03	18%	3 May →
ancient	13–8	0.08	19%	3 May →
anubis	13–10	-0.01	29%	3 May →
ancient	23–25	-0.01	16%	1 May →
cache	9–13	0.01	22%	1 May →
cache	11–13	-0.05	16%	1 May →
cache	13–10	0.02	27%	30 Apr →
cache	13–2	0.08	28%	30 Apr →
mirage	13–6	-0.00	23%	29 Apr →
mirage	13–9	0.05	23%	25 Apr →
mirage	8–13	0.08	30%	24 Apr →
mirage	15–15	0.04	17%	21 Apr →
mirage	7–13	-0.00	31%	21 Apr →
nuke	7–13	0.01	40%	21 Apr →
dust2	10–13	-0.01	31%	21 Apr →
overpass	13–10	0.04	18%	15 Apr →
ancient	10–13	0.05	28%	14 Apr →
mirage	13–4	0.02	21%	14 Apr →
dust2	13–5	0.12	19%	13 Apr →
nuke	4–13	0.08	41%	13 Apr →
overpass	10–13	0.01	24%	13 Apr →
nuke	9–13	-0.02	27%	13 Apr →
anubis	13–11	-0.06	18%	12 Apr →
mirage	5–13	0.01	14%	12 Apr →
anubis	22–18	0.01	14%	11 Apr →
inferno	6–13	-0.05	21%	11 Apr →
anubis	5–13	-0.00	19%	10 Apr →
mirage	13–11	0.02	22%	10 Apr →
mirage	13–2	0.09	18%	10 Apr →
mirage	13–16	-0.02	22%	9 Apr →
nuke	16–14	0.07	20%	2 Apr →
anubis	16–12	-0.01	27%	1 Apr →
dust2	10–13	0.00	22%	1 Apr →
mirage	13–7	0.02	29%	1 Apr →
dust2	14–16	-0.00	13%	31 Mar →
nuke	13–6	-0.00	22%	31 Mar →
dust2	11–13	-0.02	26%	31 Mar →
inferno	9–13	-0.02	14%	31 Mar →
ancient	17–19	0.02	20%	31 Mar →
dust2	13–6	0.07	28%	31 Mar →
mirage	13–7	0.07	24%	30 Mar →
overpass	13–5	0.08	18%	30 Mar →
nuke	15–15	0.01	24%	29 Mar →
dust2	13–11	0.01	16%	29 Mar →
nuke	13–5	0.01	23%	29 Mar →
mirage	13–9	0.06	32%	29 Mar →
inferno	7–13	0.00	32%	29 Mar →
dust2	13–9	0.09	21%	26 Mar →
dust2	13–11	-0.01	31%	26 Mar →
dust2	13–9	0.00	20%	25 Mar →
inferno	16–14	0.01	17%	25 Mar →
mirage	13–7	-0.01	15%	25 Mar →
dust2	9–13	-0.03	14%	22 Mar →
anubis	13–6	0.12	27%	21 Mar →
ancient	13–11	0.04	26%	21 Mar →
nuke	13–2	0.06	18%	21 Mar →
nuke	11–13	0.06	29%	21 Mar →
ancient	13–8	0.09	25%	19 Mar →
dust2	6–13	-0.05	10%	18 Mar →
overpass	8–13	-0.08	10%	18 Mar →
ancient	6–13	-0.05	18%	18 Mar →
overpass	7–13	-0.04	18%	18 Mar →