slawgobbler74 — CS2 Stats

SC76561198201689521[U:1:241423793]Steam profile ↗✓ No bans

1,309Tracked matches48%Win rate2023Tracked since

CSDB Rating5.2 DevelopingClutch Specialist

Premier CS Rating17,883Purple band · top ~16.9% of ranked players (population est.)

CSDB Leaderboard#14373 of 27530 tracked

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim64

Positioning42

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY45–50–5Last 10045%Win rateWLWLLWLWWW

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim6.4

Aggression2.6

Utility6.0

Positioning4.2

Opening Duels0.0

Clutch10.0

Reliable in 1v1s

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 81% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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. 600ms 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

Aim6.4

Positioning4.2

Utility6.0

Mechanics7.3

Opening Duels0.0

Win Impact4.4

Composite 5.2/10 (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 rating0.02−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time595ms−63ms

first ⅓ avg 658ms → last ⅓ avg 595ms

Headshot accuracy13.1%−3.6%

first ⅓ avg 16.7% → last ⅓ avg 13.1%

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

0.26Best rating — inferno 9–2

13–1Biggest win — cache

6Longest win streak

10–10In matches decided by ≤2 rounds

2Overtime games

Map breakdown

cacheBest map · 52% over 21anubisWeakest map · 11% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	29	13–16	45%	0.01
cache	B	21	11–10	52%	0.04
nuke	D	12	4–8	33%	0.01
anubis	D	9	1–8	11%	0.02
dust2	B	8	4–4	50%	0.02
ancient	B	6	3–3	50%	-0.01
inferno	—	4	3–1	75%	0.10
vertigo	—	3	1–2	33%	0.03
boulder	—	2	1–1	50%	0.03
overpass	—	2	2–0	100%	0.03
office	—	2	1–1	50%	-0.06
shelter	—	1	0–1	0%	-0.05
poseidon	—	1	1–0	100%	0.15

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2Matches

50%Win rate

0.53Avg K/D

46.0ADR

45%Headshot %

Clutches & streaks

100%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Overpass	1	0%	0.56	10.0
Mirage	1	100%	0.50	5.0

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.

13.7%Headshot accuracy

34.6%Accuracy (enemy spotted)

39.3%Spray accuracy

83.0%Counter-strafing

10.8°Preaim

600msReaction time

26.2%T opening success

19.6%CT opening success

0.58Enemies flashed / flash

5.7%Flash assists

8.77HE damage / grenade

13.33Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.7481% — below the 15% mark we flag
Aim Training →
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 26.2214% — below the 40% mark we flag

Spend your practice time on Anubis

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–7	0.04	13%	29 Aug →
anubis	11–13	0.05	18%	29 Aug →
mirage	13–11	0.02	7%	29 Aug →
mirage	2–13	-0.02	13%	27 Aug →
mirage	11–13	0.04	15%	26 Aug →
mirage	13–6	0.04	15%	25 Aug →
mirage	5–13	0.08	27%	25 Aug →
ancient	10–7	-0.00	11%	25 Aug →
mirage	16–14	-0.02	13%	24 Aug →
mirage	13–10	0.05	15%	22 Aug →
inferno	13–9	0.06	12%	19 Aug →
nuke	13–8	0.01	31%	18 Aug →
dust2	13–5	0.04	6%	18 Aug →
boulder	9–13	0.05	13%	16 Aug →
nuke	6–13	0.09	14%	16 Aug →
dust2	11–13	0.02	15%	16 Aug →
dust2	12–12	0.15	21%	16 Aug →
cache	7–13	0.00	13%	6 Aug →
cache	9–5	-0.08	0%	6 Aug →
dust2	5–13	0.01	11%	5 Aug →
inferno	11–13	0.07	10%	4 Aug →
mirage	13–4	-0.02	18%	4 Aug →
nuke	8–13	0.04	11%	2 Aug →
anubis	13–10	0.01	8%	31 Jul →
mirage	9–13	0.01	8%	28 Jul →
anubis	6–13	-0.03	19%	28 Jul →
ancient	4–13	-0.02	11%	28 Jul →
mirage	13–10	0.05	22%	26 Jul →
mirage	13–7	-0.03	5%	26 Jul →
mirage	1–13	-0.05	13%	26 Jul →
cache	13–7	0.10	8%	26 Jul →
cache	15–15	-0.02	3%	20 Jul →
nuke	6–13	-0.04	13%	19 Jul →
cache	5–13	0.11	21%	17 Jul →
nuke	13–7	0.04	21%	17 Jul →
mirage	11–13	0.03	13%	16 Jul →
mirage	13–5	0.03	13%	16 Jul →
anubis	9–13	0.04	13%	15 Jul →
cache	13–6	0.01	8%	14 Jul →
nuke	5–13	-0.01	15%	14 Jul →
mirage	2–13	-0.05	14%	14 Jul →
anubis	5–13	0.01	12%	14 Jul →
shelter	4–13	-0.05	8%	13 Jul →
cache	4–13	0.03	16%	13 Jul →
cache	13–11	-0.03	22%	13 Jul →
nuke	9–13	0.02	24%	12 Jul →
nuke	13–9	-0.08	11%	12 Jul →
mirage	3–13	-0.03	10%	12 Jul →
mirage	4–13	-0.01	14%	12 Jul →
cache	13–7	0.04	14%	12 Jul →
boulder	13–11	0.01	14%	9 Jul →
mirage	13–7	-0.01	11%	9 Jul →
vertigo	11–13	-0.04	14%	8 Jul →
cache	13–1	0.09	33%	8 Jul →
dust2	13–10	0.00	11%	7 Jul →
dust2	9–13	0.00	6%	5 Jul →
anubis	10–13	0.02	11%	5 Jul →
dust2	6–0	-0.04	33%	5 Jul →
mirage	13–9	0.02	13%	5 Jul →
cache	11–13	-0.04	11%	3 Jul →
anubis	11–13	-0.00	15%	25 Jun →
mirage	11–13	0.05	7%	24 Jun →
cache	8–13	0.00	4%	24 Jun →
mirage	6–13	0.01	11%	22 Jun →
mirage	13–11	0.10	17%	21 Jun →
nuke	8–13	-0.07	14%	17 Jun →
anubis	11–13	0.00	17%	16 Jun →
ancient	13–11	-0.00	15%	16 Jun →
inferno	13–6	-0.02	10%	15 Jun →
anubis	9–13	0.06	7%	11 Jun →
ancient	7–13	-0.06	15%	11 Jun →
vertigo	6–9	0.03	35%	8 Jun →
inferno	9–2	0.26	11%	8 Jun →
nuke	2–9	-0.04	24%	8 Jun →
dust2	13–7	0.00	30%	7 Jun →
nuke	13–11	0.07	8%	30 May →
mirage	7–13	0.10	9%	25 May →
ancient	6–13	-0.02	13%	24 May →
cache	5–13	0.04	11%	23 May →
mirage	12–12	-0.00	19%	23 May →
mirage	3–13	-0.05	20%	20 May →
nuke	10–13	0.03	10%	20 May →
overpass	13–8	0.06	8%	19 May →
mirage	13–11	0.02	25%	15 May →
office	8–13	-0.07	40%	14 May →
office	13–5	-0.04	38%	14 May →
mirage	5–13	-0.06	9%	13 May →
cache	12–12	0.05	17%	12 May →
vertigo	9–7	0.10	15%	12 May →
overpass	13–8	0.01	12%	10 May →
cache	13–7	-0.02	18%	10 May →
poseidon	9–5	0.15	18%	9 May →
cache	13–7	0.08	14%	9 May →
mirage	9–13	0.03	7%	8 May →
cache	7–13	0.10	13%	8 May →
cache	13–7	0.12	15%	7 May →
cache	12–12	0.03	25%	7 May →
ancient	13–10	0.02	13%	6 May →
cache	13–6	0.22	19%	6 May →
cache	13–11	0.04	10%	5 May →