jennifertian — CS2 Stats

76561198964653112[U:1:1004387384]✓ No bans

656Tracked matches64%Win rate2025Tracked since

1,004Hours in CS

CSDB Rating7.6 StrongAggressive Rifler

Premier CS Rating26,544Top 25% of 819 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)

CSDB Leaderboard#1401 of 19334 tracked

FaceitLevel 10 · 2,536 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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	Level 10 median
Headshot rate	56.6%	52.8%
Shot accuracy	0.0%	13.7%
Kill/death ratio	1.18	1.08
Match win rate	52.8%	49.2%

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Performance scores

Aim89

Positioning61

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateWTWLLLLWWL

Last 10 vs previous 10: -40pp win rate · -0.03 avg rating

Player DNA

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

Aim8.9

Aggression7.7

Utility5.4

Positioning6.1

Opening Duels3.0

Clutch4.2

Sharp aimerExcellent 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 96% playstyle similarity

Most alike: opening-fight frequency, 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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

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

Reaction time. 590ms 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

Aim8.9

Positioning6.1

Utility5.4

Mechanics8.6

Opening Duels3.0

Win Impact9.8

Composite 7.6/10 (Strong), 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 rating0.00−0.04

first ⅓ avg 0.04 → last ⅓ avg 0.00

Reaction time580ms−1ms

first ⅓ avg 581ms → last ⅓ avg 580ms

Headshot accuracy19.7%−0.1%

first ⅓ avg 19.8% → last ⅓ avg 19.7%

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

0.17Best rating — dust2 13–6

13–0Biggest win — ancient

7Longest win streak

6–9In matches decided by ≤2 rounds

11Overtime games

Map breakdown

infernoBest map · 57% over 7anubisWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	41	21–20	51%	0.01
dust2	B	25	13–12	52%	0.03
ancient	B	13	7–6	54%	0.01
inferno	A	7	4–3	57%	0.02
anubis	D	6	2–4	33%	0.01
nuke	—	4	2–2	50%	0.01
cache	—	3	1–2	33%	0.08
overpass	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

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

Lifetime stats

19,287Lifetime kills

1.18K/D · Top 50% of Level 10 players

843Matches

52.8%Match win rate · Top 25% of Level 10 players

56.6%Headshot % · Top 50% of Level 10 players

0.0%Shot accuracy

2,514MVPs

1,004Hours (in match)

1,116Bombs planted

321Bombs defused

Most-used weapons

AK-478,629

M4A4 / M4A1-S4,032

AWP1,110

Desert Eagle1,106

P2000 / USP-S994

Galil AR601

Glock-18549

Knife427

MP9329

FAMAS294

Lifetime map wins

2,080dust2

966inferno

360train

252nuke

134vertigo

1ar_baggage

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

Faceit stats

Combat

437Matches

57%Win rate

1.26Avg K/D

82.9ADR

52%Headshot %

Clutches & streaks

41%1v1 clutch win

19%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	169	56%	1.25	16.3
Dust2	100	63%	1.30	17.7
Ancient	59	58%	1.31	17.1
Inferno	40	52%	1.19	16.1
Anubis	35	49%	1.24	17.3
Train	17	59%	1.13	17.2
Cache	6	83%	2.32	18.5
Vertigo	5	40%	1.27	20.8

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.

19.6%Headshot accuracy

40.7%Accuracy (enemy spotted)

42.4%Spray accuracy

88.9%Counter-strafing

8.2°Preaim

590msReaction time

35.4%T opening success

48.4%CT opening success

0.59Enemies flashed / flash

6.8%Flash assists

9.00HE damage / grenade

10.64Flashes / 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 35.3963% — 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.

33% win rate across 6 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
ancient	13–9	-0.01	13%	18 Jul →
mirage	15–15	-0.00	17%	18 Jul →
mirage	13–11	-0.02	14%	15 Jul →
ancient	10–13	-0.02	32%	15 Jul →
inferno	7–13	-0.02	20%	15 Jul →
mirage	11–13	-0.01	13%	15 Jul →
ancient	0–13	-0.06	0%	15 Jul →
mirage	16–14	-0.03	27%	14 Jul →
anubis	13–5	-0.01	22%	14 Jul →
ancient	5–13	-0.04	26%	14 Jul →
dust2	15–15	0.01	24%	14 Jul →
mirage	16–13	-0.03	19%	13 Jul →
mirage	13–8	0.02	16%	13 Jul →
dust2	13–6	0.07	23%	13 Jul →
dust2	2–0	0.00	50%	13 Jul →
ancient	13–8	0.02	17%	13 Jul →
cache	7–13	0.01	18%	12 Jul →
mirage	13–5	0.00	27%	12 Jul →
dust2	13–7	0.05	19%	12 Jul →
mirage	13–9	-0.05	13%	4 Jul →
mirage	7–13	-0.06	7%	4 Jul →
anubis	11–13	-0.02	24%	3 Jul →
nuke	13–2	0.10	23%	2 Jul →
mirage	11–13	0.00	25%	30 Jun →
ancient	13–1	-0.01	11%	23 Jun →
cache	13–4	0.16	26%	20 May →
dust2	9–13	-0.05	12%	10 May →
mirage	13–4	0.11	26%	10 May →
mirage	13–8	-0.05	18%	10 May →
mirage	13–7	0.02	23%	10 May →
mirage	9–13	-0.06	19%	10 May →
mirage	13–7	0.03	12%	9 May →
mirage	9–13	-0.04	13%	8 May →
dust2	2–13	-0.07	11%	7 May →
dust2	9–13	-0.00	18%	7 May →
cache	1–13	0.08	29%	7 May →
mirage	14–16	-0.05	16%	1 May →
mirage	13–6	0.03	26%	1 May →
mirage	5–13	-0.04	12%	22 Apr →
mirage	13–4	0.05	23%	22 Apr →
dust2	13–3	0.09	16%	17 Apr →
inferno	13–7	0.03	32%	16 Apr →
ancient	11–13	0.10	25%	15 Apr →
overpass	3–13	-0.02	15%	14 Apr →
mirage	6–13	-0.02	17%	11 Apr →
dust2	13–7	0.04	23%	11 Apr →
nuke	4–13	-0.02	23%	10 Apr →
dust2	16–14	0.02	30%	10 Apr →
anubis	10–13	-0.03	21%	3 Apr →
ancient	13–0	0.05	16%	3 Apr →
dust2	11–13	0.05	26%	2 Apr →
mirage	15–15	-0.01	42%	25 Mar →
dust2	13–6	-0.02	31%	25 Mar →
mirage	13–10	0.06	23%	24 Mar →
ancient	11–13	0.02	27%	24 Mar →
mirage	10–13	0.00	12%	24 Mar →
inferno	13–9	0.08	25%	19 Mar →
dust2	10–13	-0.00	21%	11 Mar →
dust2	6–13	-0.03	29%	24 Feb →
mirage	7–13	-0.00	19%	23 Feb →
ancient	13–2	-0.03	21%	23 Feb →
mirage	10–13	0.01	18%	23 Feb →
nuke	5–13	-0.07	50%	22 Feb →
inferno	9–13	-0.09	18%	19 Feb →
inferno	10–13	-0.04	35%	17 Feb →
mirage	13–10	0.01	31%	16 Feb →
mirage	13–8	0.02	33%	16 Feb →
dust2	7–13	0.05	12%	16 Feb →
mirage	11–13	-0.01	44%	16 Feb →
mirage	2–13	-0.06	8%	8 Feb →
mirage	13–4	0.15	14%	8 Feb →
dust2	13–2	0.04	16%	8 Feb →
dust2	6–10	-0.02	26%	7 Feb →
dust2	13–3	0.04	21%	7 Feb →
mirage	10–13	-0.01	14%	7 Feb →
nuke	13–7	0.05	29%	7 Feb →
dust2	7–13	0.04	25%	5 Feb →
dust2	16–13	0.02	10%	5 Feb →
mirage	2–7	0.01	19%	5 Feb →
mirage	8–13	0.01	19%	4 Feb →
mirage	13–6	0.09	18%	4 Feb →
dust2	7–13	0.03	24%	4 Feb →
anubis	11–13	0.01	31%	4 Feb →
mirage	13–8	0.01	21%	3 Feb →
dust2	13–11	0.06	16%	30 Jan →
dust2	13–10	0.07	14%	30 Jan →
inferno	13–9	0.10	23%	30 Jan →
ancient	13–5	0.10	20%	30 Jan →
mirage	13–7	0.02	19%	29 Jan →
mirage	13–3	0.07	20%	28 Jan →
mirage	9–13	0.01	16%	27 Jan →
ancient	16–14	0.09	20%	27 Jan →
mirage	10–13	0.00	11%	26 Jan →
anubis	16–12	0.11	17%	26 Jan →
dust2	13–6	0.17	22%	26 Jan →
mirage	13–2	0.14	20%	26 Jan →
anubis	10–13	0.01	26%	25 Jan →
inferno	16–13	0.11	25%	19 Jan →
ancient	8–13	-0.03	22%	18 Jan →
dust2	3–13	-0.02	13%	18 Jan →