BigSnags — CS2 Stats

76561198154362740[U:1:194097012]Steam profile ↗✓ No bans

243Tracked matches43%Win rate2023Tracked since

CSDB Rating5.4 DevelopingAggressive Rifler

Premier CS Rating11,651Blue band · top ~46.1% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim71

Positioning52

Utility43

0–100 skill scores via Leetify.

Recent form

COLD45–52–3Last 10045%Win rateLLLWLTWLLL

Last 10 vs previous 10: -40pp win rate · -0.05 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.1

Aggression8.1

Utility4.3

Positioning5.2

Opening Duels3.1

Excellent counter-strafing

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 b1t 88% playstyle similarity

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

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. 618ms 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

Aim7.1

Positioning5.2

Utility4.3

Mechanics8.6

Opening Duels3.1

Win Impact2.6

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time601ms−106ms

first ⅓ avg 707ms → last ⅓ avg 601ms

Headshot accuracy15.6%−5.9%

first ⅓ avg 21.6% → last ⅓ avg 15.6%

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

0.10Best rating — boulder 5–13

13–0Biggest win — mirage

5Longest win streak

L3Current streak

11–3In matches decided by ≤2 rounds

8Overtime games

Map breakdown

cacheBest map · 82% over 11nukeWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	33	17–16	52%	-0.01
mirage	C	23	10–13	43%	-0.01
inferno	D	16	5–11	31%	-0.03
cache	S	11	9–2	82%	0.01
nuke	D	8	2–6	25%	-0.05
anubis	—	4	0–4	0%	-0.05
overpass	—	2	2–0	100%	-0.01
train	—	2	0–2	0%	-0.04
boulder	—	1	0–1	0%	0.10

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.4%Headshot accuracy

34.1%Accuracy (enemy spotted)

39.0%Spray accuracy

88.7%Counter-strafing

9.7°Preaim

618msReaction time

36.4%T opening success

48.1%CT opening success

0.52Enemies flashed / flash

4.9%Flash assists

9.05HE damage / grenade

6.33Flashes / 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.

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 36.4477% — below the 40% mark we flag

Spend your practice time on Nuke

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	7–13	-0.02	15%	25 Aug →
inferno	9–13	-0.03	44%	23 Aug →
nuke	4–13	-0.14	0%	23 Aug →
dust2	13–1	-0.07	0%	23 Aug →
inferno	9–13	-0.05	16%	23 Aug →
dust2	15–15	-0.02	19%	23 Aug →
cache	13–4	0.04	38%	23 Aug →
dust2	7–13	-0.06	10%	19 Aug →
anubis	9–13	-0.06	10%	19 Aug →
mirage	9–13	-0.04	16%	16 Aug →
cache	13–10	-0.00	10%	16 Aug →
dust2	16–14	0.05	12%	16 Aug →
inferno	0–13	-0.06	13%	16 Aug →
mirage	12–16	0.04	10%	16 Aug →
dust2	13–11	0.01	20%	16 Aug →
cache	13–10	-0.02	27%	16 Aug →
dust2	10–13	-0.04	8%	16 Aug →
mirage	13–11	0.04	15%	15 Aug →
cache	13–6	-0.00	22%	15 Aug →
mirage	2–13	0.01	0%	15 Aug →
inferno	13–4	0.04	23%	15 Aug →
cache	7–13	-0.07	9%	15 Aug →
dust2	10–13	-0.05	16%	14 Aug →
dust2	13–4	0.01	27%	14 Aug →
cache	13–5	0.07	18%	14 Aug →
mirage	13–7	0.02	11%	12 Aug →
dust2	4–13	-0.05	25%	12 Aug →
anubis	11–13	-0.03	9%	12 Aug →
mirage	15–15	0.01	15%	10 Aug →
anubis	9–13	-0.05	11%	10 Aug →
dust2	13–10	-0.01	16%	10 Aug →
dust2	5–13	-0.06	14%	9 Aug →
mirage	13–5	0.00	16%	9 Aug →
cache	13–11	0.05	29%	9 Aug →
nuke	4–13	-0.07	14%	9 Aug →
inferno	6–13	0.02	25%	9 Aug →
dust2	7–13	0.05	25%	8 Aug →
mirage	13–16	-0.06	14%	6 Aug →
inferno	8–13	-0.09	16%	6 Aug →
nuke	2–13	-0.08	6%	4 Aug →
dust2	8–13	-0.03	37%	26 Jul →
dust2	13–6	-0.06	21%	26 Jul →
mirage	12–5	0.02	10%	23 Jul →
cache	9–13	-0.05	13%	12 Jul →
cache	13–11	-0.08	6%	12 Jul →
dust2	13–5	-0.01	13%	12 Jul →
boulder	5–13	0.10	14%	11 Jul →
dust2	8–13	-0.05	13%	11 Jul →
cache	13–4	0.05	29%	11 Jul →
inferno	13–5	0.06	25%	6 Jul →
mirage	10–13	-0.06	23%	6 Jul →
dust2	13–11	0.01	31%	5 Jul →
dust2	13–7	-0.05	27%	4 Jul →
dust2	13–7	0.02	21%	4 Jul →
mirage	8–13	0.01	10%	3 Jul →
inferno	6–13	-0.10	9%	3 Jul →
nuke	11–13	-0.10	10%	2 Jul →
mirage	13–7	-0.01	22%	2 Jul →
dust2	13–6	-0.04	14%	1 Jul →
overpass	16–14	-0.04	23%	1 Jul →
dust2	13–9	0.04	7%	28 Jun →
overpass	13–10	0.02	15%	28 Jun →
dust2	8–13	-0.01	11%	28 Jun →
dust2	8–13	0.02	27%	24 Jun →
inferno	13–11	-0.05	7%	24 Jun →
mirage	8–13	-0.05	23%	21 Jun →
dust2	13–8	0.04	18%	21 Jun →
nuke	13–9	0.03	14%	21 Jun →
dust2	6–13	-0.03	18%	21 Jun →
mirage	13–8	0.01	29%	21 Jun →
dust2	7–13	0.04	33%	21 Jun →
dust2	9–13	0.08	15%	20 Jun →
cache	13–11	0.08	13%	20 Jun →
nuke	13–10	0.03	14%	20 Jun →
mirage	13–4	-0.04	26%	6 Apr →
dust2	13–9	0.03	16%	6 Apr →
dust2	14–16	-0.04	21%	23 Mar →
inferno	13–11	-0.08	12%	18 Nov →
inferno	8–13	-0.02	29%	11 Jun →
mirage	15–15	-0.03	24%	11 Jun →
mirage	9–13	0.05	26%	29 May →
dust2	13–3	0.04	19%	29 May →
dust2	13–11	-0.01	20%	29 May →
mirage	13–0	0.04	19%	29 May →
inferno	10–13	-0.08	18%	21 May →
mirage	10–13	-0.05	20%	21 May →
anubis	7–13	-0.05	28%	18 May →
mirage	13–9	-0.00	6%	16 May →
dust2	13–6	0.02	41%	16 May →
inferno	9–13	-0.01	16%	16 May →
train	2–8	-0.02	0%	15 May →
mirage	8–13	-0.01	29%	14 May →
nuke	6–13	-0.02	18%	14 May →
inferno	2–13	-0.07	10%	14 May →
mirage	3–13	-0.05	67%	13 May →
inferno	7–13	-0.05	38%	13 May →
train	6–13	-0.05	14%	12 May →
mirage	13–2	0.02	22%	11 May →
nuke	10–13	-0.05	28%	11 May →
inferno	13–8	0.02	11%	10 May →