Chris P. Bacon — CS2 Stats

GB76561198065693445[U:1:105427717]Steam profile ↗✓ No bans

4,534Tracked matches50%Win rate2020Tracked since

8,569Hours in CS16Hrs last 2 wks

CSDB Rating7.0 StrongAggressive Rifler

Premier CS Rating20,896Top 50% of 17,162 CSDB-tracked playersPink band · top ~7.5% of ranked players (population est.)

CSDB Leaderboard#8596 of 22889 tracked

FaceitLevel 10 · 2,725 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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	40.4%	52.0%
Shot accuracy	17.8%	13.7%
Kill/death ratio	1.10	1.08
Match win rate	47.5%	48.8%

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Performance scores

Aim85

Positioning70

Utility60

0–100 skill scores via Leetify.

Recent form

COLD47–52–1Last 10047%Win rateLWWLLLWLLL

Last 10 vs previous 10: -40pp win rate · -0.00 avg rating

Player DNA

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

Aim8.5

Aggression10.0

Utility6.0

Positioning7.0

Opening Duels5.3

Clutch3.6

Sharp aimer

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 donk 94% playstyle similarity

Most alike: utility contribution, positioning 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

Strengths

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.0° off target when enemies appear — placement, not flicking, is the bigger win available.

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

Aim8.5

Positioning7.0

Utility6.0

Mechanics6.5

Opening Duels5.3

Win Impact5.0

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time548ms−41ms

first ⅓ avg 589ms → last ⅓ avg 548ms

Headshot accuracy17.9%−4.9%

first ⅓ avg 22.8% → last ⅓ avg 17.9%

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

0.24Best rating — anubis 13–3

13–2Biggest win — ancient

5Longest win streak

14–11In matches decided by ≤2 rounds

15Overtime games

Map breakdown

nukeBest map · 60% over 10dust2Weakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
ancient	C	25	11–14	44%	0.02
anubis	C	22	9–13	41%	0.02
cache	A	14	8–6	57%	0.05
mirage	A	12	7–5	58%	0.04
nuke	A	10	6–4	60%	0.04
dust2	D	6	1–5	17%	0.05
inferno	B	6	3–3	50%	0.01
biome	—	1	0–1	0%	0.02
aztec_hr	—	1	0–1	0%	0.08
cbble	—	1	1–0	100%	0.07
fachwerk	—	1	1–0	100%	0.05
shelter	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

245,284Lifetime kills

1.10K/D · Top 50% of Level 10 players

10,962Matches

47.5%Match win rate

40.4%Headshot %

17.8%Shot accuracy · Top 25% of Level 10 players

35,519MVPs

4,900Hours (in match)

9,309Bombs planted

3,427Bombs defused

Most-used weapons

AK-4778,414

M4A4 / M4A1-S44,035

AWP27,260

P2000 / USP-S14,494

Desert Eagle13,222

Glock-189,194

P2507,477

Knife4,698

SSG 084,121

FAMAS4,097

Lifetime map wins

12,011inferno

10,142dust2

8,928nuke

6,320train

5,449cbble

1,351vertigo

522office

326italy

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

Faceit stats

Combat

3,348Matches

51%Win rate

1.23Avg K/D

93.8ADR

43%Headshot %

Clutches & streaks

38%1v1 clutch win

29%1v2 clutch win

13Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	430	51%	1.25	19.9
Anubis	311	55%	1.30	19.6
Mirage	284	44%	1.20	19.5
Nuke	252	58%	1.27	19.6
Inferno	172	47%	1.16	18.8
Dust2	156	43%	1.12	18.1
Overpass	133	59%	1.31	19.3
Train	40	42%	1.19	19.1

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.

18.0%Headshot accuracy

41.7%Accuracy (enemy spotted)

45.3%Spray accuracy

79.2%Counter-strafing

10.0°Preaim

543msReaction time

46.2%T opening success

56.1%CT opening success

0.53Enemies flashed / flash

12.8%Flash assists

6.41HE damage / grenade

9.16Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	8–13	0.01	17%	28 Aug →
ancient	13–10	0.02	20%	28 Aug →
nuke	16–12	-0.01	19%	25 Aug →
ancient	6–13	-0.01	18%	25 Aug →
anubis	10–13	0.04	20%	18 Aug →
ancient	11–13	0.02	19%	18 Aug →
ancient	19–16	0.07	10%	18 Aug →
ancient	8–13	0.02	21%	17 Aug →
nuke	10–13	0.09	18%	15 Aug →
dust2	10–13	0.09	17%	15 Aug →
ancient	13–7	0.08	12%	15 Aug →
mirage	13–7	0.10	12%	15 Aug →
nuke	16–13	0.07	21%	15 Aug →
mirage	13–11	0.04	24%	15 Aug →
anubis	13–9	-0.03	18%	15 Aug →
ancient	13–16	0.00	10%	14 Aug →
nuke	5–13	0.02	15%	14 Aug →
ancient	16–14	0.05	9%	14 Aug →
nuke	13–8	0.06	22%	13 Aug →
cache	4–13	-0.05	25%	13 Aug →
anubis	13–8	-0.01	18%	11 Aug →
nuke	3–13	-0.08	17%	11 Aug →
ancient	13–11	-0.02	18%	10 Aug →
anubis	11–13	-0.02	20%	10 Aug →
ancient	4–13	0.09	16%	9 Aug →
anubis	13–10	0.03	17%	9 Aug →
ancient	13–3	0.16	20%	8 Aug →
biome	17–19	0.02	27%	8 Aug →
aztec_hr	11–13	0.08	23%	8 Aug →
cbble	13–10	0.07	20%	8 Aug →
anubis	10–13	-0.00	27%	8 Aug →
anubis	8–13	-0.04	11%	8 Aug →
nuke	13–7	0.03	10%	8 Aug →
ancient	13–11	0.00	20%	7 Aug →
cache	13–3	0.09	18%	7 Aug →
anubis	13–9	-0.03	8%	6 Aug →
anubis	10–13	-0.01	13%	6 Aug →
cache	13–7	0.08	24%	5 Aug →
anubis	9–13	0.03	13%	5 Aug →
mirage	4–13	-0.10	17%	4 Aug →
inferno	16–13	0.06	13%	4 Aug →
ancient	13–6	0.07	20%	4 Aug →
mirage	13–10	0.04	16%	4 Aug →
anubis	8–13	-0.02	16%	28 Jul →
inferno	9–13	0.09	19%	28 Jul →
ancient	5–13	0.00	33%	28 Jul →
nuke	10–13	0.03	24%	27 Jul →
ancient	9–13	-0.00	9%	27 Jul →
inferno	19–17	-0.00	25%	26 Jul →
anubis	13–10	0.04	16%	26 Jul →
mirage	8–13	-0.01	14%	24 Jul →
cache	13–4	-0.01	27%	24 Jul →
anubis	13–4	0.12	13%	24 Jul →
mirage	14–16	0.03	11%	24 Jul →
dust2	7–13	0.03	19%	23 Jul →
mirage	13–11	0.11	27%	23 Jul →
ancient	4–13	0.00	19%	23 Jul →
cache	13–5	0.06	28%	23 Jul →
anubis	13–3	0.24	18%	22 Jul →
dust2	14–16	0.09	17%	22 Jul →
ancient	5–13	-0.04	17%	21 Jul →
anubis	6–13	0.03	11%	21 Jul →
anubis	8–13	0.03	30%	20 Jul →
nuke	13–9	0.14	23%	20 Jul →
ancient	13–2	0.12	10%	20 Jul →
cache	13–8	0.13	21%	20 Jul →
cache	8–13	0.03	14%	19 Jul →
dust2	16–13	0.03	24%	19 Jul →
mirage	13–11	0.13	42%	19 Jul →
cache	13–3	0.08	27%	19 Jul →
cache	7–13	0.07	17%	19 Jul →
inferno	13–11	-0.02	17%	19 Jul →
anubis	16–14	0.02	28%	19 Jul →
ancient	13–11	-0.05	16%	18 Jul →
mirage	13–11	0.04	22%	18 Jul →
mirage	11–13	-0.04	17%	18 Jul →
cache	6–13	0.06	16%	18 Jul →
inferno	3–13	-0.05	25%	18 Jul →
cache	10–13	0.04	15%	18 Jul →
dust2	10–13	0.02	24%	17 Jul →
mirage	11–13	0.00	15%	17 Jul →
anubis	4–13	-0.02	12%	17 Jul →
fachwerk	13–4	0.05	48%	17 Jul →
cache	13–7	0.03	20%	17 Jul →
ancient	6–13	0.01	20%	17 Jul →
mirage	13–11	0.10	29%	17 Jul →
anubis	16–14	0.07	24%	17 Jul →
anubis	8–13	0.03	24%	16 Jul →
dust2	17–19	0.01	15%	16 Jul →
ancient	1–13	-0.05	23%	16 Jul →
inferno	5–13	-0.02	32%	16 Jul →
ancient	9–13	0.05	33%	15 Jul →
nuke	13–7	0.08	17%	15 Jul →
anubis	8–13	-0.04	30%	15 Jul →
ancient	14–16	0.04	22%	14 Jul →
cache	13–2	0.01	16%	13 Jul →
shelter	12–12	0.02	23%	13 Jul →
cache	11–13	0.03	32%	8 Jul →
ancient	7–13	0.01	16%	7 Jul →
ancient	13–11	-0.05	10%	7 Jul →