Don Pollo — CS2 Stats

US76561198414622566[U:1:454356838]Steam profile ↗

392Tracked matches54%Win rate2021Tracked since

CSDB Rating6.0 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim74

Positioning58

Utility44

0–100 skill scores via Leetify.

Recent form

HOT55–41–4Last 10055%Win rateWWWWWWLWLW

Last 10 vs previous 10: +50pp win rate · +0.03 avg rating

Player DNA

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

Aim7.4

Aggression7.1

Utility4.4

Positioning5.8

Opening Duels2.8

Strong CT-side openerLimited utility dependence

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: positioning profile, opening-fight frequency.

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

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

T-side openings. Opening success drops from 50% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 607ms 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

Aim7.4

Positioning5.8

Utility4.4

Mechanics7.2

Opening Duels2.8

Win Impact6.2

Composite 6.0/10 (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 rating0.04−0.01

first ⅓ avg 0.05 → last ⅓ avg 0.04

Reaction time616ms−21ms

first ⅓ avg 636ms → last ⅓ avg 616ms

Headshot accuracy21.4%−1.1%

first ⅓ avg 22.5% → last ⅓ avg 21.4%

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

0.34Best rating — nuke 5–1

13–0Biggest win — office

6Longest win streak

W6Current streak

8–5In matches decided by ≤2 rounds

7Overtime games

Map breakdown

overpassBest map · 67% over 9ancientWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	24	15–9	63%	0.04
inferno	B	13	7–6	54%	0.05
office	A	11	6–5	55%	0.01
train	A	11	6–5	55%	0.06
dust2	B	11	5–6	45%	0.06
overpass	S	9	6–3	67%	0.04
nuke	B	8	4–4	50%	0.11
ancient	C	8	3–5	38%	0.04
anubis	—	3	1–2	33%	0.03
boulder	—	1	1–0	100%	0.11
vertigo	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

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

20.3%Headshot accuracy

39.4%Accuracy (enemy spotted)

38.8%Spray accuracy

82.5%Counter-strafing

11.9°Preaim

607msReaction time

32.7%T opening success

49.7%CT opening success

0.34Enemies flashed / flash

5.4%Flash assists

16.16HE damage / grenade

4.25Flashes / 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 0.3448 — 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 32.6848% — below the 40% mark we flag

Spend your practice time on Ancient

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
office	13–0	-0.00	44%	28 Aug →
office	13–10	-0.02	24%	24 Aug →
mirage	13–6	0.05	15%	24 Aug →
office	13–11	0.02	34%	16 Aug →
office	13–7	-0.07	12%	16 Aug →
nuke	5–1	0.34	11%	16 Aug →
ancient	7–13	0.15	15%	16 Aug →
office	13–7	0.05	27%	15 Aug →
train	8–13	0.04	15%	8 Aug →
boulder	13–4	0.11	22%	8 Aug →
office	7–13	0.01	30%	21 Jul →
office	12–12	0.12	33%	20 Jul →
office	6–13	-0.03	37%	8 Jul →
dust2	6–13	-0.06	19%	2 Jul →
inferno	16–14	-0.01	5%	2 Jul →
ancient	5–13	-0.02	26%	2 Jul →
mirage	16–13	0.08	15%	2 Jul →
mirage	8–13	0.12	27%	2 Jul →
inferno	11–13	0.02	7%	2 Jul →
inferno	13–9	0.10	23%	2 Jul →
mirage	13–6	-0.06	8%	1 Jul →
overpass	9–13	-0.07	15%	1 Jul →
overpass	13–10	0.18	19%	26 Jun →
office	13–6	-0.00	16%	19 Jun →
mirage	10–13	-0.01	11%	18 Jun →
office	2–13	0.03	29%	17 Jun →
office	10–13	0.01	23%	17 Jun →
anubis	15–15	0.02	18%	18 Mar →
dust2	13–3	0.03	13%	18 Mar →
mirage	5–13	-0.02	33%	18 Mar →
ancient	16–14	-0.01	25%	18 Mar →
train	13–1	-0.01	39%	17 Sept →
dust2	13–10	0.17	18%	17 Sept →
mirage	13–7	0.08	17%	17 Sept →
train	13–7	0.16	31%	12 Sept →
mirage	6–13	0.09	16%	8 Sept →
inferno	13–6	0.00	16%	8 Sept →
dust2	13–11	0.06	14%	8 Sept →
mirage	16–13	0.07	20%	8 Sept →
mirage	8–13	-0.02	21%	7 Sept →
mirage	13–4	0.11	44%	5 Sept →
train	4–13	-0.05	18%	5 Sept →
train	13–3	0.08	19%	5 Sept →
inferno	13–5	0.08	17%	5 Sept →
train	10–13	0.03	26%	4 Sept →
inferno	13–10	0.05	22%	25 Aug →
nuke	7–13	0.04	24%	22 Aug →
overpass	13–8	0.03	14%	22 Aug →
mirage	13–11	0.03	21%	18 Aug →
inferno	7–9	0.08	29%	17 Aug →
train	13–6	0.01	26%	8 Aug →
mirage	13–10	0.07	26%	8 Aug →
overpass	9–2	0.10	27%	6 Aug →
nuke	10–13	0.13	36%	6 Aug →
nuke	16–14	0.06	24%	3 Aug →
anubis	13–11	0.04	18%	28 Jul →
vertigo	13–8	0.02	33%	28 Jul →
train	13–10	0.09	33%	28 Jul →
nuke	6–13	-0.03	28%	27 Jul →
inferno	9–5	0.09	24%	26 Jul →
mirage	6–13	0.02	38%	25 Jul →
overpass	3–13	-0.03	12%	23 Jul →
dust2	2–13	0.04	34%	23 Jul →
nuke	10–13	0.13	18%	20 Jul →
ancient	13–11	0.14	15%	20 Jul →
train	7–13	0.01	25%	20 Jul →
nuke	13–3	0.14	25%	20 Jul →
dust2	11–13	0.12	26%	20 Jul →
inferno	9–13	0.06	19%	20 Jul →
mirage	13–8	0.07	19%	20 Jul →
dust2	4–13	0.02	21%	19 Jul →
inferno	9–13	-0.00	21%	19 Jul →
mirage	6–1	0.07	10%	19 Jul →
dust2	13–10	0.08	22%	19 Jul →
overpass	9–13	0.02	24%	19 Jul →
mirage	5–13	-0.05	24%	18 Jul →
mirage	13–7	0.05	30%	18 Jul →
dust2	6–13	-0.00	20%	18 Jul →
overpass	13–6	-0.02	17%	18 Jul →
ancient	8–13	-0.01	17%	17 Jul →
mirage	13–8	0.04	24%	17 Jul →
mirage	13–8	0.04	17%	17 Jul →
dust2	13–6	0.13	20%	17 Jul →
overpass	13–5	0.02	17%	16 Jul →
overpass	13–1	0.17	26%	16 Jul →
mirage	11–13	0.09	37%	14 Jul →
ancient	13–8	-0.01	26%	14 Jul →
mirage	13–8	0.10	30%	14 Jul →
ancient	10–13	0.10	35%	14 Jul →
inferno	13–7	0.07	34%	14 Jul →
mirage	13–6	0.04	16%	14 Jul →
mirage	7–13	-0.00	16%	14 Jul →
dust2	12–12	0.03	11%	9 Jul →
nuke	13–10	0.10	25%	4 Jul →
train	13–8	0.18	24%	4 Jul →
anubis	11–13	0.03	15%	4 Jul →
inferno	5–13	0.04	24%	2 Jul →
train	8–13	0.09	29%	2 Jul →
inferno	15–15	0.08	25%	1 Jul →
ancient	2–13	-0.01	23%	1 Jul →