teefgrrl — CS2 Stats

76561198294007429[U:1:333741701]Steam profile ↗✓ No bans

1,299Tracked matches46%Win rate2020Tracked since

5,845Hours in CS13Hrs last 2 wks

CSDB Rating5.2 DevelopingPassive Rifler

Premier CS Rating17,353Purple band · top ~19% of ranked players (population est.)

CSDB Leaderboard#19102 of 36147 tracked

WingmanSilver IV

Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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	Purple band median	Pink band median	vs Pink band
Headshot rate	34.5%	44.1%	47.2%	12.8% short
Shot accuracy	17.2%	11.4%	12.7%	above
Kill/death ratio	0.94	1.03	1.09	0.15 short
Match win rate	37.9%	45.2%	46.6%	8.7% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Pink 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

Aim62

Positioning42

Utility68

0–100 skill scores via Leetify.

Recent form

COLD44–48–8Last 10044%Win rateTWLLWWLLLT

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

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

Aim6.2

Aggression3.6

Utility6.8

Positioning4.2

Opening Duels0.1

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 83% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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

Aim6.2

Positioning4.2

Utility6.8

Mechanics7.1

Opening Duels0.4

Win Impact3.7

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 rating-0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg -0.00

Reaction time603ms−55ms

first ⅓ avg 658ms → last ⅓ avg 603ms

Headshot accuracy14.8%−0.2%

first ⅓ avg 15.0% → last ⅓ avg 14.8%

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

0.19Best rating — mirage 13–1

13–0Biggest win — cache

5Longest win streak

7–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

cacheBest map · 60% over 15nukeWeakest map · 31% over 16

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	17	9–8	53%	0.00
nuke	D	16	5–11	31%	-0.00
cache	A	15	9–6	60%	0.03
dust2	B	15	7–8	47%	0.01
mirage	D	12	4–8	33%	0.00
overpass	B	6	3–3	50%	-0.04
anubis	D	6	2–4	33%	-0.01
office	—	3	0–3	0%	-0.03
inferno	—	3	1–2	33%	-0.00
shelter	—	3	1–2	33%	0.01
train	—	2	1–1	50%	-0.04
vertigo	—	1	1–0	100%	-0.05
italy	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

221,401Lifetime kills

0.94K/D

12,865Matches

37.9%Match win rate

34.5%Headshot %

17.2%Shot accuracy · Top 25% of Purple band

20,637MVPs

4,776Hours (in match)

4,438Bombs planted

3,762Bombs defused

Most-used weapons

AK-4786,862

AWP39,392

M4A4 / M4A1-S31,883

P2000 / USP-S12,557

Glock-186,603

Desert Eagle5,943

Galil AR4,244

FAMAS3,584

P2503,407

UMP-452,845

Lifetime map wins

10,800dust2

9,353inferno

7,997nuke

7,841train

5,455vertigo

1,857cbble

1,187office

534lake

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

Skill profile

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

14.3%Headshot accuracy

34.5%Accuracy (enemy spotted)

36.8%Spray accuracy

82.0%Counter-strafing

10.8°Preaim

600msReaction time

27.1%T opening success

33.6%CT opening success

0.63Enemies flashed / flash

5.9%Flash assists

12.68HE damage / grenade

7.69Flashes / 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 14.3452% — 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 27.0777% — 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.

31% win rate across 16 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
office	12–12	-0.03	15%	26 Aug →
vertigo	13–8	-0.05	17%	26 Aug →
nuke	7–13	-0.05	21%	26 Aug →
cache	10–13	0.00	16%	26 Aug →
cache	13–9	-0.02	12%	26 Aug →
cache	13–0	0.07	21%	26 Aug →
dust2	11–13	-0.03	14%	26 Aug →
overpass	4–13	-0.10	4%	24 Aug →
dust2	3–13	-0.01	18%	24 Aug →
office	12–12	0.06	7%	24 Aug →
cache	13–3	0.09	15%	24 Aug →
mirage	11–13	0.01	14%	21 Aug →
mirage	13–11	0.04	18%	20 Aug →
nuke	13–6	-0.02	21%	18 Aug →
train	1–13	-0.07	17%	18 Aug →
ancient	13–5	0.01	29%	17 Aug →
mirage	3–13	-0.08	5%	14 Aug →
nuke	8–13	-0.03	14%	14 Aug →
mirage	6–13	-0.00	14%	12 Aug →
cache	15–15	0.06	13%	12 Aug →
anubis	13–1	0.03	20%	12 Aug →
ancient	4–13	-0.06	24%	12 Aug →
nuke	12–12	0.05	11%	12 Aug →
mirage	13–7	0.00	13%	11 Aug →
inferno	13–7	0.08	24%	11 Aug →
anubis	13–10	-0.00	3%	5 Aug →
ancient	7–13	-0.04	17%	5 Aug →
nuke	4–13	-0.00	12%	5 Aug →
nuke	13–8	-0.00	11%	3 Aug →
mirage	10–13	0.02	4%	3 Aug →
nuke	9–13	0.03	21%	3 Aug →
nuke	5–13	-0.01	12%	3 Aug →
mirage	6–13	-0.04	14%	3 Aug →
dust2	9–13	-0.00	19%	31 Jul →
ancient	13–16	0.01	13%	30 Jul →
dust2	13–11	0.09	21%	30 Jul →
cache	13–5	0.11	16%	29 Jul →
cache	7–13	-0.05	13%	29 Jul →
overpass	8–1	-0.02	15%	29 Jul →
anubis	9–13	-0.02	18%	27 Jul →
inferno	8–13	-0.10	16%	27 Jul →
dust2	6–13	0.04	11%	27 Jul →
nuke	11–13	-0.04	8%	27 Jul →
cache	16–14	-0.02	17%	27 Jul →
ancient	7–13	0.02	11%	26 Jul →
anubis	4–13	-0.05	9%	26 Jul →
italy	13–7	0.02	20%	26 Jul →
nuke	8–13	0.00	8%	24 Jul →
mirage	6–13	0.02	5%	24 Jul →
cache	16–14	-0.05	10%	22 Jul →
ancient	13–6	0.03	9%	22 Jul →
ancient	4–3	-0.03	7%	22 Jul →
dust2	8–8	-0.02	14%	22 Jul →
anubis	12–12	0.02	14%	22 Jul →
anubis	12–12	-0.01	2%	22 Jul →
ancient	13–10	-0.06	4%	20 Jul →
dust2	3–13	-0.02	10%	20 Jul →
dust2	13–11	0.05	9%	17 Jul →
cache	13–10	0.09	13%	17 Jul →
dust2	10–0	0.01	11%	17 Jul →
ancient	13–8	0.15	16%	16 Jul →
cache	13–9	0.03	8%	13 Jul →
dust2	9–13	-0.04	2%	13 Jul →
dust2	13–4	0.04	25%	13 Jul →
ancient	13–10	-0.01	21%	13 Jul →
ancient	13–3	-0.02	21%	13 Jul →
ancient	14–16	0.02	10%	13 Jul →
dust2	8–13	-0.01	17%	13 Jul →
nuke	13–10	0.02	8%	13 Jul →
mirage	15–15	-0.02	7%	13 Jul →
ancient	11–13	-0.02	13%	9 Jul →
nuke	13–8	0.04	24%	9 Jul →
shelter	10–13	0.03	22%	9 Jul →
shelter	12–12	-0.04	15%	9 Jul →
shelter	13–8	0.04	20%	9 Jul →
train	13–8	-0.01	17%	9 Jul →
cache	13–6	0.03	13%	8 Jul →
overpass	6–13	-0.03	13%	8 Jul →
ancient	9–13	0.05	16%	8 Jul →
inferno	9–13	0.01	24%	8 Jul →
cache	4–13	-0.02	30%	8 Jul →
ancient	8–13	-0.06	11%	8 Jul →
office	1–13	-0.13	33%	8 Jul →
overpass	4–13	-0.06	0%	6 Jul →
overpass	13–7	0.00	11%	6 Jul →
ancient	13–8	0.04	5%	6 Jul →
dust2	13–5	0.02	11%	6 Jul →
mirage	13–7	-0.00	19%	2 Jul →
nuke	14–16	-0.09	9%	2 Jul →
ancient	13–10	0.01	6%	1 Jul →
dust2	8–13	-0.08	10%	1 Jul →
nuke	6–13	0.01	20%	1 Jul →
overpass	13–6	-0.03	20%	30 Jun →
cache	10–13	0.07	12%	30 Jun →
cache	6–13	0.06	21%	26 Jun →
mirage	2–13	-0.08	16%	26 Jun →
nuke	8–13	0.01	8%	26 Jun →
nuke	13–5	0.01	10%	26 Jun →
mirage	13–1	0.19	10%	26 Jun →
dust2	13–3	0.07	24%	26 Jun →