kathryn — CS2 Stats

76561198035166351[U:1:74900623]Steam profile ↗✓ No bans

2,154Tracked matches52%Win rate2020Tracked since

CSDB Rating6.6 SolidAggressive Rifler

Premier CS Rating27,857Top 5% of 17,162 CSDB-tracked playersRed band · top ~1.6% of ranked players (population est.)

CSDB Leaderboard#617 of 29542 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim84

Positioning58

Utility45

0–100 skill scores via Leetify.

Recent form

STEADY45–44–11Last 10045%Win rateWTWWLLLLLW

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

Player DNA

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

Aim8.4

Aggression9.5

Utility4.5

Positioning5.8

Opening Duels4.1

Clutch3.0

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 sh1ro 91% playstyle similarity

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

Where you differ: lower 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

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. 587ms 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

Aim8.4

Positioning5.8

Utility4.5

Mechanics6.6

Opening Duels4.1

Win Impact5.6

Composite 6.6/10 (Solid), 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 rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time590ms+4ms

first ⅓ avg 586ms → last ⅓ avg 590ms

Headshot accuracy22.0%−0.1%

first ⅓ avg 22.0% → last ⅓ avg 22.0%

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

0.22Best rating — nuke 9–13

13–0Biggest win — mirage

6Longest win streak

8–6In matches decided by ≤2 rounds

6Overtime games

Map breakdown

ancientBest map · 67% over 12nukeWeakest map · 30% over 33

Map	Grade	Played	Record	Win rate	Avg rating
nuke	D	33	10–23	30%	0.03
mirage	A	19	12–7	63%	-0.00
ancient	S	12	8–4	67%	0.01
anubis	C	9	4–5	44%	0.02
dust2	C	8	3–5	38%	-0.01
inferno	S	6	4–2	67%	0.04
cache	—	4	0–4	0%	0.08
shelter	—	3	3–0	100%	-0.00
overpass	—	2	1–1	50%	0.03
train	—	2	0–2	0%	-0.06
office	—	1	0–1	0%	-0.01
vertigo	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (30% over 33). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

211Matches

55%Win rate

1.25Avg K/D

81.0ADR

48%Headshot %

Clutches & streaks

35%1v1 clutch win

21%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	54	48%	1.11	15.3
Ancient	39	67%	1.24	16.4
Nuke	32	66%	1.57	17.3
Inferno	25	56%	1.26	15.6
Anubis	23	52%	1.24	17.0
Dust2	19	47%	1.03	14.9
Vertigo	10	40%	1.29	17.5
Overpass	5	40%	1.58	16.0

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.

22.6%Headshot accuracy

38.5%Accuracy (enemy spotted)

44.1%Spray accuracy

79.6%Counter-strafing

9.7°Preaim

587msReaction time

52.5%T opening success

40.0%CT opening success

0.46Enemies flashed / flash

4.5%Flash assists

6.26HE damage / grenade

8.57Flashes / 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 0.464 — below the 0.5 mark we flag
Grenade Lineups →

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.

30% win rate across 33 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
nuke	13–6	0.05	22%	17 Aug →
cache	12–12	0.13	22%	17 Aug →
inferno	13–10	0.02	27%	17 Aug →
mirage	13–10	-0.01	21%	13 Aug →
nuke	3–13	0.06	23%	13 Aug →
nuke	10–13	0.04	32%	11 Aug →
cache	9–13	0.02	11%	19 Jul →
nuke	11–13	0.08	22%	19 Jul →
anubis	8–13	-0.02	12%	15 Jul →
shelter	13–6	0.02	8%	14 Jul →
nuke	6–13	0.02	24%	14 Jul →
shelter	13–6	-0.03	20%	13 Jul →
nuke	13–10	-0.03	23%	13 Jul →
shelter	13–10	0.00	19%	12 Jul →
nuke	7–13	-0.02	26%	9 Jul →
nuke	1–5	-0.07	0%	3 Jul →
dust2	14–16	-0.04	20%	3 Jul →
nuke	11–13	-0.02	19%	2 Jul →
nuke	13–4	0.12	28%	1 Jul →
inferno	9–5	0.18	17%	30 Jun →
nuke	9–3	0.06	30%	30 Jun →
inferno	9–7	0.08	14%	30 Jun →
nuke	12–12	-0.02	25%	30 Jun →
mirage	13–4	0.07	31%	30 Jun →
dust2	13–8	-0.07	32%	29 Jun →
mirage	6–13	-0.06	23%	29 Jun →
nuke	6–13	0.03	38%	29 Jun →
nuke	13–6	0.01	17%	29 Jun →
anubis	12–12	-0.07	23%	27 Jun →
nuke	13–6	0.03	36%	27 Jun →
mirage	13–3	-0.05	15%	27 Jun →
ancient	13–7	0.04	25%	27 Jun →
inferno	8–13	-0.05	20%	27 Jun →
mirage	13–6	-0.01	25%	27 Jun →
ancient	13–5	-0.04	13%	25 Jun →
mirage	13–11	-0.00	18%	25 Jun →
anubis	11–13	0.05	20%	25 Jun →
nuke	7–13	0.03	17%	25 Jun →
anubis	15–15	-0.06	24%	24 Jun →
dust2	7–13	0.04	23%	24 Jun →
mirage	13–0	0.01	38%	24 Jun →
nuke	7–13	0.04	40%	23 Jun →
mirage	11–13	-0.06	21%	23 Jun →
ancient	8–13	-0.11	11%	23 Jun →
nuke	8–8	-0.10	25%	21 Jun →
mirage	13–11	0.00	27%	21 Jun →
nuke	5–13	0.01	26%	18 Jun →
ancient	13–7	0.05	19%	17 Jun →
ancient	13–11	0.08	24%	17 Jun →
inferno	9–13	-0.02	48%	17 Jun →
nuke	13–5	0.06	24%	17 Jun →
nuke	9–13	0.00	28%	10 Jun →
nuke	6–13	0.02	26%	10 Jun →
ancient	16–14	0.08	25%	9 Jun →
nuke	6–13	0.12	27%	9 Jun →
dust2	13–11	0.01	15%	8 Jun →
mirage	13–11	0.06	25%	8 Jun →
ancient	5–13	0.03	16%	8 Jun →
nuke	10–13	-0.03	16%	8 Jun →
dust2	9–13	-0.06	22%	8 Jun →
dust2	9–13	0.02	32%	8 Jun →
nuke	3–13	-0.01	29%	8 Jun →
ancient	13–4	0.10	20%	8 Jun →
anubis	12–12	0.03	18%	8 Jun →
nuke	13–3	0.06	24%	8 Jun →
mirage	8–13	0.03	17%	8 Jun →
nuke	7–13	0.03	17%	6 Jun →
dust2	5–13	-0.04	11%	6 Jun →
anubis	13–9	0.01	19%	5 Jun →
mirage	13–7	0.02	26%	5 Jun →
overpass	13–7	0.04	31%	5 Jun →
ancient	13–3	0.01	23%	5 Jun →
nuke	13–4	0.06	14%	1 Jun →
mirage	13–5	0.06	15%	1 Jun →
office	12–12	-0.01	27%	1 Jun →
anubis	13–10	0.03	11%	1 Jun →
mirage	13–16	-0.02	20%	1 Jun →
nuke	13–11	0.03	26%	1 Jun →
mirage	13–6	0.07	26%	1 Jun →
cache	4–13	0.06	35%	1 Jun →
vertigo	5–13	-0.07	19%	1 Jun →
ancient	5–13	-0.06	21%	1 Jun →
mirage	15–15	-0.06	23%	31 May →
train	8–13	-0.08	18%	31 May →
ancient	13–10	-0.01	33%	31 May →
train	9–13	-0.04	15%	31 May →
nuke	10–13	0.01	27%	31 May →
mirage	5–13	-0.03	17%	31 May →
ancient	6–13	-0.03	20%	31 May →
mirage	13–4	-0.02	32%	30 May →
cache	12–12	0.10	16%	30 May →
anubis	13–2	0.08	15%	30 May →
dust2	16–13	0.06	23%	30 May →
mirage	10–13	0.00	17%	29 May →
nuke	12–12	-0.03	27%	29 May →
anubis	13–0	0.13	17%	29 May →
nuke	9–13	0.22	28%	27 May →
nuke	12–12	-0.02	24%	27 May →
overpass	11–13	0.02	32%	27 May →
inferno	13–7	0.01	19%	27 May →