senordame — CS2 Stats

US76561198315286808[U:1:355021080]Steam profile ↗✓ No bans

1,053Tracked matches57%Win rate2023Tracked since

CSDB Rating4.5 Developing

FaceitLevel 2Top 97.9% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim46

Positioning58

Utility45

0–100 skill scores via Leetify.

Recent form

HOT44–48–8Last 10044%Win rateWWLWWWWWLW

Last 10 vs previous 10: +30pp win rate · -0.04 avg rating

Player DNA

Aim4.6

Aggression7.7

Utility4.5

Positioning5.8

Opening Duels3.6

Clutch2.0

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 ropz 85% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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. 618ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.6

Positioning5.8

Utility4.5

Mechanics1.4

Opening Duels3.6

Win Impact7.2

Composite 4.5/10 (Developing), 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 rating0.02+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time625ms+40ms

first ⅓ avg 585ms → last ⅓ avg 625ms

Headshot accuracy18.5%+5.2%

first ⅓ avg 13.2% → last ⅓ avg 18.5%

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 — dust2 12–12

13–0Biggest win — dust2

5Longest win streak

W2Current streak

4–4In matches decided by ≤2 rounds

6Overtime games

Map breakdown

ancientBest map · 75% over 12infernoWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	16	6–10	38%	0.02
cache	B	15	8–7	53%	0.01
nuke	D	13	4–9	31%	0.01
ancient	S	12	9–3	75%	0.02
vertigo	C	11	4–7	36%	0.01
mirage	A	10	6–4	60%	-0.02
anubis	D	9	3–6	33%	0.02
inferno	D	9	2–7	22%	0.01
train	—	4	1–3	25%	0.03
overpass	—	1	1–0	100%	-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

28Matches

29%Win rate

0.91Avg K/D

86.2ADR

42%Headshot %

Clutches & streaks

30%1v1 clutch win

0%1v2 clutch win

4Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	6	83%	0.98	13.5
Nuke	5	20%	0.93	16.0
Inferno	5	0%	0.81	13.2
Mirage	5	20%	0.78	14.0
Ancient	3	33%	1.05	18.0
Vertigo	3	0%	1.00	17.3
Train	1	0%	0.73	11.0

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.

15.7%Headshot accuracy

34.7%Accuracy (enemy spotted)

41.5%Spray accuracy

56.4%Counter-strafing

10.7°Preaim

618msReaction time

39.7%T opening success

48.9%CT opening success

0.47Enemies flashed / flash

7.1%Flash assists

6.49HE damage / grenade

7.95Flashes / 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.

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 0.4731 — 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 39.6957% — 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.

22% win rate across 9 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
mirage	16–13	-0.02	5%	28 Aug →
nuke	13–7	-0.05	17%	27 Aug →
dust2	8–13	0.01	14%	25 Aug →
cache	13–9	-0.01	12%	25 Aug →
ancient	13–11	0.01	7%	24 Jul →
anubis	13–4	0.09	7%	24 Jul →
vertigo	13–5	-0.01	17%	23 Jul →
anubis	13–11	0.05	8%	22 Jul →
anubis	6–13	-0.04	16%	22 Jul →
nuke	13–11	-0.01	13%	17 Jul →
dust2	13–7	-0.00	19%	17 Jul →
vertigo	11–13	0.10	11%	14 Jul →
ancient	13–2	0.13	26%	14 Jul →
cache	0–6	-0.05	100%	14 Jul →
train	10–13	0.08	6%	13 Jul →
dust2	13–10	0.07	20%	13 Jul →
inferno	13–9	0.08	10%	12 Jul →
nuke	10–13	-0.05	11%	12 Jul →
cache	13–5	0.06	17%	12 Jul →
cache	10–13	0.03	23%	12 Jul →
ancient	13–7	0.05	27%	12 Jul →
vertigo	13–9	-0.02	13%	12 Jul →
mirage	13–3	-0.02	28%	12 Jul →
nuke	5–13	-0.01	13%	11 Jul →
anubis	10–13	0.03	8%	11 Jul →
inferno	6–9	0.02	31%	11 Jul →
dust2	4–13	-0.02	9%	3 Jul →
inferno	7–13	0.04	19%	3 Jul →
train	7–13	0.05	37%	3 Jul →
nuke	8–13	0.02	19%	3 Jul →
nuke	13–6	0.07	18%	30 Jun →
ancient	8–13	-0.05	16%	30 Jun →
vertigo	13–7	0.06	16%	29 Jun →
ancient	13–16	-0.03	10%	29 Jun →
mirage	0–13	-0.09	0%	29 Jun →
dust2	13–0	0.02	5%	28 Jun →
inferno	6–13	-0.11	6%	28 Jun →
inferno	15–15	-0.03	16%	28 Jun →
mirage	13–9	-0.00	17%	28 Jun →
dust2	13–7	0.02	17%	28 Jun →
mirage	13–9	-0.01	18%	28 Jun →
dust2	14–16	-0.06	13%	28 Jun →
nuke	2–13	0.04	24%	28 Jun →
cache	7–13	0.01	13%	28 Jun →
inferno	13–5	0.08	12%	28 Jun →
cache	8–13	-0.01	32%	28 Jun →
ancient	13–9	0.04	10%	28 Jun →
mirage	1–13	-0.05	5%	28 Jun →
anubis	11–13	0.04	24%	28 Jun →
mirage	13–9	-0.04	35%	27 Jun →
cache	7–13	-0.03	29%	27 Jun →
mirage	6–13	0.02	22%	21 Jun →
nuke	12–12	0.02	10%	21 Jun →
ancient	4–13	-0.09	9%	21 Jun →
anubis	13–9	-0.01	8%	18 Jun →
dust2	6–13	-0.02	20%	17 Jun →
dust2	5–13	-0.06	10%	16 Jun →
inferno	10–13	0.04	7%	16 Jun →
nuke	5–13	-0.09	8%	16 Jun →
vertigo	10–13	0.05	7%	16 Jun →
cache	12–12	0.00	15%	16 Jun →
cache	13–9	0.01	15%	16 Jun →
dust2	15–15	0.05	6%	15 Jun →
ancient	13–3	0.08	17%	15 Jun →
nuke	7–13	-0.05	15%	15 Jun →
dust2	13–11	0.02	15%	15 Jun →
ancient	13–10	0.02	16%	14 Jun →
mirage	13–8	0.03	11%	14 Jun →
anubis	10–13	-0.00	4%	14 Jun →
nuke	9–13	-0.02	19%	14 Jun →
dust2	13–5	0.04	13%	14 Jun →
mirage	13–16	-0.03	14%	14 Jun →
ancient	13–9	0.01	18%	14 Jun →
inferno	1–6	-0.06	11%	14 Jun →
inferno	5–13	-0.01	19%	14 Jun →
cache	5–13	0.02	11%	14 Jun →
dust2	12–12	0.15	18%	14 Jun →
train	13–7	-0.04	13%	8 Jun →
dust2	12–12	0.05	13%	8 Jun →
dust2	7–13	-0.01	18%	8 Jun →
ancient	13–8	0.06	13%	7 Jun →
cache	9–3	0.02	23%	7 Jun →
vertigo	0–13	-0.06	19%	7 Jun →
dust2	9–13	0.02	23%	7 Jun →
cache	13–7	0.06	8%	7 Jun →
train	1–1	0.05	0%	7 Jun →
nuke	3–10	0.13	24%	6 Jun →
anubis	7–13	0.01	18%	6 Jun →
vertigo	12–12	0.03	12%	6 Jun →
cache	13–4	0.00	9%	6 Jun →
vertigo	7–13	-0.04	21%	4 Jun →
vertigo	12–12	-0.01	11%	3 Jun →
vertigo	13–5	0.03	6%	3 Jun →
overpass	13–9	-0.03	7%	31 May →
vertigo	10–13	-0.05	15%	31 May →
cache	13–7	-0.01	3%	30 May →
anubis	10–13	0.02	7%	30 May →
cache	13–10	0.03	13%	30 May →
ancient	13–6	0.04	13%	30 May →
nuke	13–3	0.10	12%	30 May →