ChrisTurner — CS2 Stats

TL76561198877381346[U:1:917115618]Steam profile ↗✓ No bans

4,269Tracked matches46%Win rate2020Tracked since

CSDB Rating5.7 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim82

Positioning48

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY36–53–11Last 10036%Win rateTWWLWLLTWW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

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

Aim8.2

Aggression7.1

Utility4.4

Positioning4.8

Opening Duels3.3

Clutch3.6

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 ropz 90% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

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

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

Aim8.2

Positioning4.8

Utility4.4

Mechanics6.2

Opening Duels3.3

Win Impact3.7

Composite 5.7/10 (Solid), 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+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.02

Reaction time547ms+11ms

first ⅓ avg 536ms → last ⅓ avg 547ms

Headshot accuracy22.7%+4.9%

first ⅓ avg 17.9% → last ⅓ avg 22.7%

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 — ancient 13–2

13–1Biggest win — mirage

4Longest win streak

2–5In matches decided by ≤2 rounds

1Overtime games

Map breakdown

infernoBest map · 59% over 17anubisWeakest map · 10% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	17	5–12	29%	-0.01
inferno	A	17	10–7	59%	0.02
ancient	C	14	6–8	43%	0.05
overpass	C	11	4–7	36%	0.03
mirage	C	10	4–6	40%	0.01
anubis	D	10	1–9	10%	0.03
cache	C	8	3–5	38%	-0.00
nuke	D	7	1–6	14%	0.02
train	—	3	2–1	67%	0.01
vertigo	—	3	0–3	0%	0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,428Matches

51%Win rate

1.09Avg K/D

80.9ADR

44%Headshot %

Clutches & streaks

38%1v1 clutch win

26%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	320	48%	1.09	16.3
Ancient	240	50%	1.05	15.3
Nuke	230	57%	1.13	15.5
Vertigo	191	57%	1.14	16.6
Inferno	70	34%	1.06	13.9
Overpass	54	56%	1.15	16.1
Mirage	34	47%	1.12	13.7
Dust2	21	43%	0.90	13.2

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.

22.9%Headshot accuracy

35.2%Accuracy (enemy spotted)

39.1%Spray accuracy

77.9%Counter-strafing

8.9°Preaim

540msReaction time

36.4%T opening success

50.1%CT opening success

0.41Enemies flashed / flash

9.5%Flash assists

7.02HE damage / grenade

5.60Flashes / 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 0.4131 — below the 0.5 mark we flag
Grenade Lineups →
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 36.3525% — 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.

10% win rate across 10 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
nuke	12–12	0.04	13%	3 Jun →
ancient	13–2	0.17	34%	3 Jun →
mirage	13–1	0.12	18%	3 Jun →
dust2	2–13	-0.06	19%	3 Jun →
cache	13–11	0.02	16%	6 May →
cache	10–13	0.01	18%	4 May →
cache	11–13	-0.02	30%	4 May →
cache	12–12	0.01	17%	4 May →
inferno	13–8	0.07	22%	2 May →
cache	13–10	-0.08	28%	1 May →
cache	6–13	0.01	21%	30 Apr →
dust2	7–13	-0.02	21%	30 Apr →
dust2	1–9	-0.10	14%	30 Apr →
inferno	13–11	-0.01	27%	30 Apr →
cache	13–2	0.01	33%	30 Apr →
dust2	10–13	-0.04	31%	29 Apr →
ancient	13–10	0.11	19%	29 Apr →
cache	12–12	0.02	34%	29 Apr →
inferno	11–13	0.03	21%	28 Apr →
ancient	9–13	-0.03	23%	28 Apr →
nuke	12–12	-0.01	16%	22 Apr →
ancient	3–13	0.01	19%	22 Apr →
train	13–7	0.07	17%	22 Apr →
overpass	4–13	0.01	16%	21 Apr →
anubis	5–13	0.12	25%	21 Apr →
dust2	13–7	0.02	23%	21 Apr →
mirage	13–9	-0.00	30%	21 Apr →
inferno	3–13	-0.05	35%	20 Apr →
overpass	13–10	0.12	19%	17 Apr →
vertigo	7–13	0.00	28%	17 Apr →
dust2	6–13	0.01	20%	17 Apr →
ancient	6–13	-0.05	19%	17 Apr →
nuke	10–13	-0.00	25%	15 Apr →
train	13–2	-0.00	25%	15 Apr →
overpass	13–4	0.02	21%	15 Apr →
inferno	13–9	-0.02	13%	15 Apr →
dust2	13–10	0.02	17%	15 Apr →
inferno	8–13	-0.05	25%	13 Apr →
dust2	2–13	-0.03	24%	13 Apr →
inferno	13–8	0.02	19%	10 Apr →
mirage	7–13	-0.10	16%	10 Apr →
dust2	12–12	-0.01	18%	10 Apr →
overpass	13–1	0.07	16%	9 Apr →
ancient	4–13	0.01	30%	9 Apr →
dust2	11–13	0.01	8%	9 Apr →
anubis	12–12	0.00	11%	9 Apr →
overpass	11–13	0.04	10%	8 Apr →
inferno	9–13	0.00	19%	8 Apr →
mirage	13–4	0.04	17%	8 Apr →
anubis	12–12	0.02	12%	8 Apr →
nuke	13–9	0.10	15%	8 Apr →
ancient	13–10	0.16	24%	8 Apr →
dust2	13–3	0.03	21%	8 Apr →
nuke	9–13	0.04	16%	7 Apr →
mirage	7–13	0.08	19%	7 Apr →
inferno	13–6	0.14	31%	7 Apr →
inferno	13–5	0.06	31%	7 Apr →
anubis	10–13	0.03	13%	7 Apr →
ancient	12–12	0.00	22%	6 Apr →
anubis	13–8	0.05	23%	6 Apr →
mirage	13–5	0.03	24%	6 Apr →
ancient	3–13	0.06	20%	6 Apr →
mirage	12–12	0.03	16%	6 Apr →
inferno	13–7	-0.01	20%	6 Apr →
overpass	7–13	0.03	27%	6 Apr →
inferno	8–1	-0.02	29%	6 Apr →
ancient	13–5	0.04	28%	6 Apr →
inferno	13–8	0.08	21%	1 Apr →
dust2	13–2	-0.01	17%	1 Apr →
anubis	9–13	0.00	23%	1 Apr →
mirage	10–13	-0.04	19%	27 Mar →
train	3–13	-0.04	22%	27 Mar →
dust2	13–9	-0.02	19%	27 Mar →
inferno	11–13	-0.04	18%	27 Mar →
overpass	13–8	0.02	18%	27 Mar →
vertigo	8–13	0.01	18%	27 Mar →
anubis	10–13	0.04	14%	27 Mar →
dust2	5–13	-0.06	21%	26 Mar →
inferno	7–13	0.08	17%	26 Mar →
mirage	8–13	-0.10	22%	26 Mar →
dust2	4–13	-0.00	19%	26 Mar →
vertigo	6–13	0.07	17%	26 Mar →
ancient	13–8	0.13	19%	26 Mar →
nuke	12–12	0.03	33%	26 Mar →
ancient	9–13	0.02	15%	25 Mar →
overpass	12–12	0.01	10%	25 Mar →
anubis	9–13	0.08	15%	25 Mar →
ancient	2–13	-0.02	31%	25 Mar →
nuke	7–13	-0.05	13%	25 Mar →
mirage	9–13	0.00	15%	25 Mar →
dust2	6–13	-0.03	18%	25 Mar →
inferno	13–6	0.00	23%	25 Mar →
anubis	10–13	-0.04	10%	24 Mar →
ancient	13–9	0.02	15%	24 Mar →
overpass	10–13	-0.05	7%	24 Mar →
inferno	19–22	-0.02	13%	24 Mar →
anubis	6–13	-0.03	13%	24 Mar →
overpass	9–13	0.06	23%	24 Mar →
dust2	10–13	0.02	16%	24 Mar →
overpass	10–13	-0.02	14%	24 Mar →