Tatonka — CS2 Stats

76561198021496811[U:1:61231083]

1,671Tracked matches50%Win rate2020Tracked since

1,237Hours in CS

CSDB Rating6.6 SolidAggressive Rifler

Premier CS Rating19,550Purple band · top ~10.3% of ranked players (population est.)

CSDB Leaderboard#12824 of 29141 tracked

FaceitLevel 7 · 1,387 ELOTop 42.3% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=1,022), 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 7 median	Level 8 median	vs Level 8
Headshot rate	38.1%	46.2%	47.2%	9.1% short
Shot accuracy	7.7%	12.5%	12.3%	4.6% short
Kill/death ratio	1.02	1.06	1.07	0.05 short
Match win rate	46.5%	45.9%	46.3%	meets

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim81

Positioning60

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateTWWWWWLLLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

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

Aim8.1

Aggression8.6

Utility5.4

Positioning6.0

Opening Duels3.2

Clutch2.8

Excellent 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 93% playstyle similarity

Most alike: opening-duel success, 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

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.2° 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

Aim8.1

Positioning6.0

Utility5.4

Mechanics8.6

Opening Duels3.2

Win Impact5.0

Composite 6.6/10 (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 rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time535ms−51ms

first ⅓ avg 587ms → last ⅓ avg 535ms

Headshot accuracy16.1%+0.5%

first ⅓ avg 15.6% → last ⅓ avg 16.1%

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

0.18Best rating — dust2 13–5

13–2Biggest win — ancient

5Longest win streak

7–11In matches decided by ≤2 rounds

15Overtime games

Map breakdown

mirageBest map · 63% over 8ancientWeakest map · 35% over 20

Map	Grade	Played	Record	Win rate	Avg rating
ancient	C	20	7–13	35%	0.01
inferno	C	19	7–12	37%	0.01
dust2	A	16	9–7	56%	0.02
anubis	A	14	8–6	57%	-0.01
cache	B	12	6–6	50%	-0.00
mirage	A	8	5–3	63%	0.01
nuke	B	8	4–4	50%	-0.00
vertigo	—	1	0–1	0%	0.01
fachwerk	—	1	0–1	0%	0.03
boulder	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

48,045Lifetime kills

1.02K/D

2,752Matches

46.5%Match win rate · Top 50% of Level 7 players

38.1%Headshot %

7.7%Shot accuracy

5,699MVPs

1,237Hours (in match)

2,329Bombs planted

662Bombs defused

Most-used weapons

AK-4714,663

M4A4 / M4A1-S11,737

AWP3,135

P2000 / USP-S2,870

Glock-182,179

Galil AR1,475

Desert Eagle1,284

MAC-101,152

AUG1,047

MP7991

Lifetime map wins

6,145inferno

3,891dust2

1,187nuke

1,181vertigo

1,017train

219cbble

142office

20italy

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

Faceit stats

Combat

295Matches

51%Win rate

0.94Avg K/D

83.7ADR

36%Headshot %

Clutches & streaks

34%1v1 clutch win

24%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	20	80%	1.18	16.8
Mirage	14	36%	0.90	17.1
Anubis	13	77%	1.44	17.5
Ancient	12	50%	1.25	17.8
Dust2	8	50%	0.98	13.9
Nuke	4	0%	0.95	22.5
Vertigo	2	0%	1.04	19.0
Overpass	2	0%	1.06	16.5

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.

15.4%Headshot accuracy

37.5%Accuracy (enemy spotted)

39.5%Spray accuracy

88.8%Counter-strafing

10.2°Preaim

531msReaction time

36.9%T opening success

48.8%CT opening success

0.58Enemies flashed / flash

7.2%Flash assists

9.78HE damage / grenade

6.02Flashes / 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 36.858% — 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.

35% win rate across 20 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
inferno	15–15	0.00	14%	28 Aug →
ancient	13–6	0.06	25%	28 Aug →
mirage	13–10	-0.03	12%	27 Aug →
dust2	11–4	0.09	23%	27 Aug →
mirage	13–3	0.09	19%	26 Aug →
cache	16–14	0.09	19%	26 Aug →
ancient	7–13	-0.04	28%	26 Aug →
inferno	10–13	0.01	7%	25 Aug →
ancient	11–13	-0.01	16%	25 Aug →
cache	13–5	0.08	4%	24 Aug →
vertigo	12–12	0.01	11%	24 Aug →
ancient	10–13	0.00	15%	22 Aug →
anubis	13–8	-0.01	12%	21 Aug →
dust2	13–5	0.18	24%	21 Aug →
anubis	13–9	-0.01	10%	21 Aug →
cache	2–13	-0.05	21%	20 Aug →
nuke	13–4	0.00	20%	20 Aug →
inferno	9–13	0.06	15%	20 Aug →
ancient	2–13	-0.07	11%	20 Aug →
mirage	8–13	0.02	17%	19 Aug →
fachwerk	5–13	0.03	9%	19 Aug →
anubis	7–13	0.01	14%	18 Aug →
inferno	13–8	0.07	12%	18 Aug →
inferno	10–13	-0.02	22%	17 Aug →
anubis	13–8	0.04	13%	17 Aug →
dust2	13–9	0.04	10%	17 Aug →
nuke	13–3	-0.05	19%	16 Aug →
dust2	9–13	-0.00	9%	16 Aug →
inferno	9–13	-0.06	10%	14 Aug →
dust2	8–13	0.02	29%	14 Aug →
ancient	13–8	-0.05	16%	14 Aug →
nuke	15–15	-0.04	17%	13 Aug →
dust2	2–13	-0.05	27%	11 Aug →
inferno	6–13	-0.06	22%	11 Aug →
dust2	11–13	0.01	15%	10 Aug →
mirage	13–4	-0.00	16%	10 Aug →
ancient	13–2	0.06	13%	10 Aug →
ancient	9–13	-0.01	15%	9 Aug →
dust2	13–9	0.00	15%	9 Aug →
anubis	3–13	-0.06	10%	9 Aug →
ancient	13–8	0.01	18%	9 Aug →
cache	13–8	0.02	18%	9 Aug →
mirage	15–15	-0.01	11%	8 Aug →
ancient	9–13	0.10	10%	8 Aug →
ancient	14–16	-0.03	11%	8 Aug →
ancient	11–13	-0.01	16%	8 Aug →
anubis	13–7	-0.01	10%	8 Aug →
inferno	13–2	0.07	16%	8 Aug →
ancient	11–13	0.04	13%	7 Aug →
anubis	16–12	0.03	16%	7 Aug →
dust2	13–4	0.03	13%	7 Aug →
inferno	13–16	0.03	22%	7 Aug →
inferno	16–12	-0.00	15%	6 Aug →
anubis	2–13	-0.05	7%	6 Aug →
ancient	11–13	0.00	15%	5 Aug →
dust2	13–11	-0.02	19%	4 Aug →
dust2	6–13	0.02	11%	4 Aug →
mirage	13–4	-0.01	12%	4 Aug →
ancient	11–13	-0.02	10%	3 Aug →
dust2	13–11	0.05	22%	3 Aug →
anubis	8–13	-0.01	14%	3 Aug →
inferno	13–11	0.02	11%	3 Aug →
cache	13–4	0.06	20%	3 Aug →
nuke	13–11	0.04	12%	29 Jul →
anubis	13–10	0.03	19%	29 Jul →
inferno	10–13	-0.01	12%	29 Jul →
dust2	16–12	-0.00	20%	27 Jul →
nuke	15–15	-0.02	18%	26 Jul →
mirage	13–5	0.03	27%	25 Jul →
anubis	13–5	-0.00	10%	25 Jul →
ancient	13–6	0.08	15%	25 Jul →
cache	8–13	-0.04	10%	25 Jul →
boulder	8–13	-0.01	18%	24 Jul →
inferno	13–5	0.05	15%	24 Jul →
anubis	15–15	-0.01	13%	23 Jul →
ancient	8–13	-0.00	13%	23 Jul →
cache	16–14	-0.01	13%	21 Jul →
ancient	13–9	0.05	32%	21 Jul →
inferno	9–13	-0.02	8%	21 Jul →
inferno	13–7	0.05	10%	20 Jul →
cache	1–13	-0.09	21%	19 Jul →
nuke	11–13	-0.01	28%	19 Jul →
mirage	10–13	0.03	24%	19 Jul →
dust2	11–13	-0.03	21%	18 Jul →
inferno	13–16	0.04	14%	18 Jul →
nuke	10–13	0.03	18%	18 Jul →
anubis	11–13	-0.03	16%	17 Jul →
ancient	6–13	-0.05	8%	17 Jul →
inferno	5–13	-0.08	17%	17 Jul →
anubis	13–9	-0.03	9%	17 Jul →
cache	13–11	0.01	13%	17 Jul →
dust2	13–9	0.08	19%	16 Jul →
inferno	13–7	0.06	15%	16 Jul →
dust2	9–13	-0.06	10%	16 Jul →
cache	8–13	-0.03	14%	16 Jul →
ancient	16–13	0.02	18%	15 Jul →
cache	12–16	0.00	12%	15 Jul →
nuke	13–6	0.01	18%	15 Jul →
inferno	11–13	0.06	12%	15 Jul →
cache	3–13	-0.07	10%	15 Jul →